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0adb8471c28813368da6139158db01f9
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
6fa20d9c-86a4-49ec-807c-a37f81d8583c
|
<jats:p>The climate problem today caused damage to infrastructures and many other living elements among mankind. As the prospected future leaders, students need to understand and to respond the effects of climate change. A person with climate literacy may enhance their ability and capacity to face climate challenges in the future. Climate literacy is the understanding of the influence of self and society on the climate. This research is conducted to give a general picture of climate literacy among high school students in **Surabaya** and each indicator in climate competency aspects. The methodology used in this research is a descriptive qualitative method. The research instrument used in this research is a climate literacy test. The valuation of climate literacy capacity of the students being done by giving scores manually from the test answers according to the scoring guideline in the scoring rubric and achievement results with categories as very high, high, moderate, low, and very low. The research samples are 107 high school students at level XI in SMAN 22 Surabaya (Public High School 22 Surabaya). According to the research, the students’ indicator in scientific identifying is low with a score percentage of 48.9%. The students’ indicator in explaining the scientific phenomenon is moderate with a score of 74.5%, while students’ indicator score in using scientific evidence is moderate with 68.6%. It could be said that high school students in SMAN 22 Surabaya as a whole have a moderate climate literacy capacity with a percentage score of 64%.</jats:p>
|
<ol>
<li><strong>Surabaya</strong> (Surabaya, East Java, Indonesia) – <a href='https://www.openstreetmap.org/relation/8225862' target='_blank'>relation/8225862</a>; type=<code>boundary/administrative</code>; importance=0.607</li><br/><small>Surabaya, East Java, Java, Indonesia</small>
</ol>
| null | null | null | null | null | null |
e6d44b343100ca0fea0d1306f206eed3
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
53e5c6fc-22e7-4b60-93b7-e19f9468aed0
|
<jats:p>The paper addresses the issue of modelling the demand for electricity in residential buildings with the use of artificial neural networks (ANNs). Real data for six houses in **Switzerland** fitted with measurement meters was used in the research. Their original frequency of 1 Hz (one-second readings) was re-sampled to a frequency of 1/600 Hz, which corresponds to a period of ten minutes. Out-of-sample forecasts verified the ability of ANNs to disaggregate electricity usage for specific applications (electricity receivers). Four categories of electricity consumption were distinguished: (i) fridge, (ii) washing machine, (iii) personal computer, and (iv) freezer. Both standard ANNs with multilayer perceptron architecture and newer types of networks based on deep learning were used. The simulations included over 10,000 ANNs with different architecture (number of neurons and structure of their connections), type and number of input variables, formulas of activation functions, training algorithms, and other parameters. The research confirmed the possibility of using ANNs to model the disaggregation of electricity consumption based on low frequency data, and suggested ways to build highly optimised models.</jats:p>
|
<ol>
<li><strong>Switzerland</strong> (Switzerland) – <a href='https://www.openstreetmap.org/relation/51701' target='_blank'>relation/51701</a>; type=<code>boundary/administrative</code>; importance=0.884</li><br/><small>Switzerland</small>
</ol>
| null | null | null | null | null | null |
c4c584f8f861efe5444f895e2cf1470e
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
eb6e4f3b-ab0f-4074-bff2-303d8f2613d5
|
<jats:p><p>La crisis económica internacional ha tenido impactos en múltiples aspectos de la vida<br />cotidiana en España. Como soporte indispensable de la vida cotidiana, la movilidad también<br />se ha visto afectada por la pérdida de puestos de trabajo y la caída de la capacidad de gasto<br />de las familias. La dimensión de los cambios sin embargo depende en gran parte de las condiciones inherentes del territorio, que tiene la capacidad de potenciar o restringir las estrategias de adaptación a la crisis. El artículo propone un análisis de la movilidad cotidiana en la Región Metropolitana de Barcelona para el periodo 2004-2012, examinando la evolución de<br />los patrones de movilidad en los años previos y posteriores a la llegada de la crisis a España.<br />Los impactos sobre la movilidad diaria se contextualizan en base a la resiliencia territorial de<br />cada subámbito metropolitano: **Barcelona**, su 1ª y 2ª coronas metropolitanas, analizando las<br />distintas posibilidades de adaptación que cada territorio ofrece a sus ciudadanos.</p></jats:p>
|
<ol>
<li><strong>Barcelona</strong> (Barcelona, Barcelonès, Catalonia, Barcelona, Spain) – <a href='https://www.openstreetmap.org/relation/347950' target='_blank'>relation/347950</a>; type=<code>boundary/administrative</code>; importance=0.794</li><br/><small>Barcelona, Barcelonès, Barcelona, Catalonia, Spain</small>
<li><strong>Barcelona</strong> (Catalonia, Barcelona, Spain) – <a href='https://www.openstreetmap.org/relation/349035' target='_blank'>relation/349035</a>; type=<code>boundary/administrative</code>; importance=0.633</li><br/><small>Barcelona, Catalonia, Spain</small>
</ol>
| null | null | null | null | null | null |
b2307b0240f92125f4888a3e5d68b317
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
3aa4f2c8-a709-4809-a958-44c0746cdb14
|
<jats:p><p>La crisis económica internacional ha tenido impactos en múltiples aspectos de la vida<br />cotidiana en España. Como soporte indispensable de la vida cotidiana, la movilidad también<br />se ha visto afectada por la pérdida de puestos de trabajo y la caída de la capacidad de gasto<br />de las familias. La dimensión de los cambios sin embargo depende en gran parte de las condiciones inherentes del territorio, que tiene la capacidad de potenciar o restringir las estrategias de adaptación a la crisis. El artículo propone un análisis de la movilidad cotidiana en la Región Metropolitana de Barcelona para el periodo 2004-2012, examinando la evolución de<br />los patrones de movilidad en los años previos y posteriores a la llegada de la crisis a **España**.<br />Los impactos sobre la movilidad diaria se contextualizan en base a la resiliencia territorial de<br />cada subámbito metropolitano: Barcelona, su 1ª y 2ª coronas metropolitanas, analizando las<br />distintas posibilidades de adaptación que cada territorio ofrece a sus ciudadanos.</p></jats:p>
|
<ol>
<li><strong>Spain</strong> (Spain) – <a href='https://www.openstreetmap.org/relation/1311341' target='_blank'>relation/1311341</a>; type=<code>boundary/administrative</code>; importance=0.920</li><br/><small>Spain</small>
</ol>
| null | null | null | null | null | null |
2fc74831fc230bcba66afab1f6b7f9e2
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
c611ed3a-e036-416d-8efe-a439d041f27c
|
<jats:p><p>La crisis económica internacional ha tenido impactos en múltiples aspectos de la vida<br />cotidiana en España. Como soporte indispensable de la vida cotidiana, la movilidad también<br />se ha visto afectada por la pérdida de puestos de trabajo y la caída de la capacidad de gasto<br />de las familias. La dimensión de los cambios sin embargo depende en gran parte de las condiciones inherentes del territorio, que tiene la capacidad de potenciar o restringir las estrategias de adaptación a la crisis. El artículo propone un análisis de la movilidad cotidiana en la **Región Metropolitana de Barcelona** para el periodo 2004-2012, examinando la evolución de<br />los patrones de movilidad en los años previos y posteriores a la llegada de la crisis a España.<br />Los impactos sobre la movilidad diaria se contextualizan en base a la resiliencia territorial de<br />cada subámbito metropolitano: Barcelona, su 1ª y 2ª coronas metropolitanas, analizando las<br />distintas posibilidades de adaptación que cada territorio ofrece a sus ciudadanos.</p></jats:p>
|
<ol>
<li><strong>Barcelona</strong> (Serra, Greater Vitória, Espírito Santo, Brazil) – <a href='https://www.openstreetmap.org/relation/1856300' target='_blank'>relation/1856300</a>; type=<code>boundary/administrative</code>; importance=0.147</li><br/><small>Barcelona, Serra, Região Geográfica Imediata de Vitória, Greater Vitória, Região Geográfica Intermediária de Vitória, Espírito Santo, Southeast Region, Brazil</small>
<li><strong>Barcelona</strong> (Ribeirão das Neves, Região Metropolitana de Belo Horizonte, Minas Gerais, Brazil) – <a href='https://www.openstreetmap.org/node/3729821439' target='_blank'>node/3729821439</a>; type=<code>place/neighbourhood</code>; importance=0.133</li><br/><small>Barcelona, Ribeirão das Neves, Região Geográfica Imediata de Belo Horizonte, Região Metropolitana de Belo Horizonte, Região Geográfica Intermediária de Belo Horizonte, Minas Gerais, Southeast Region, 33880-220, Brazil</small>
<li><strong>Barcelona</strong> (Igarapé, Região Metropolitana de Belo Horizonte, Minas Gerais, Brazil) – <a href='https://www.openstreetmap.org/relation/7318821' target='_blank'>relation/7318821</a>; type=<code>boundary/administrative</code>; importance=0.133</li><br/><small>Barcelona, Igarapé, Região Geográfica Imediata de Belo Horizonte, Região Metropolitana de Belo Horizonte, Região Geográfica Intermediária de Belo Horizonte, Minas Gerais, Southeast Region, Brazil</small>
<li><strong>Barcelona</strong> (São Caetano do Sul, Região Metropolitana de São Paulo, São Paulo, Brazil) – <a href='https://www.openstreetmap.org/relation/10599370' target='_blank'>relation/10599370</a>; type=<code>boundary/administrative</code>; importance=0.071</li><br/><small>Barcelona, São Caetano do Sul, Região Imediata de São Paulo, Região Metropolitana de São Paulo, Região Geográfica Intermediária de São Paulo, São Paulo, Southeast Region, Brazil</small>
<li><strong>Barcelona</strong> (Providencia, Provincia de Santiago, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/22951561' target='_blank'>way/22951561</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Barcelona, Barrio Lyon, Providencia, Provincia de Santiago, Santiago Metropolitan Region, 7500000, Chile</small>
<li><strong>Barcelona</strong> (Provincia de Santiago, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/183769177' target='_blank'>way/183769177</a>; type=<code>highway/living_street</code>; importance=0.053</li><br/><small>Barcelona, Barrio Riesco - Central, Maipú, Provincia de Santiago, Santiago Metropolitan Region, 9251491, Chile</small>
<li><strong>Barcelona</strong> (Provincia de Santiago, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/40836288' target='_blank'>way/40836288</a>; type=<code>highway/tertiary</code>; importance=0.053</li><br/><small>Barcelona, Bellavista de La Florida, La Florida, Provincia de Santiago, Santiago Metropolitan Region, 8260183, Chile</small>
<li><strong>Barcelona</strong> (Provincia de Cordillera, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/46162365' target='_blank'>way/46162365</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Barcelona, Condominio Jardín del Valle IV, Puente Alto, Provincia de Cordillera, Santiago Metropolitan Region, 8301703, Chile</small>
<li><strong>Barcelona</strong> (Provincia de Santiago, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/24638686' target='_blank'>way/24638686</a>; type=<code>highway/living_street</code>; importance=0.053</li><br/><small>Barcelona, Villa Los Copihues, La Florida, Provincia de Santiago, Santiago Metropolitan Region, 8240494, Chile</small>
<li><strong>Barcelona</strong> (Melipilla, Provincia de Melipilla, Santiago Metropolitan Region, Chile) – <a href='https://www.openstreetmap.org/way/135892410' target='_blank'>way/135892410</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Barcelona, Villa Logroño, Melipilla, Provincia de Melipilla, Santiago Metropolitan Region, 9580887, Chile</small>
</ol>
| null | null | null | null | null | null |
a5844389b10bba1216322452ad955bce
|
completed
| 2025-06-24T11:53:52.708000
| 2025-07-24T10:31:58.424000
|
1ef4ac08-a48e-4851-b289-c157feb7030f
|
<jats:p><p>La crisis económica internacional ha tenido impactos en múltiples aspectos de la vida<br />cotidiana en **España.** Como soporte indispensable de la vida cotidiana, la movilidad también<br />se ha visto afectada por la pérdida de puestos de trabajo y la caída de la capacidad de gasto<br />de las familias. La dimensión de los cambios sin embargo depende en gran parte de las condiciones inherentes del territorio, que tiene la capacidad de potenciar o restringir las estrategias de adaptación a la crisis. El artículo propone un análisis de la movilidad cotidiana en la Región Metropolitana de Barcelona para el periodo 2004-2012, examinando la evolución de<br />los patrones de movilidad en los años previos y posteriores a la llegada de la crisis a España.<br />Los impactos sobre la movilidad diaria se contextualizan en base a la resiliencia territorial de<br />cada subámbito metropolitano: Barcelona, su 1ª y 2ª coronas metropolitanas, analizando las<br />distintas posibilidades de adaptación que cada territorio ofrece a sus ciudadanos.</p></jats:p>
|
<ol>
<li><strong>Spain</strong> (Spain) – <a href='https://www.openstreetmap.org/relation/1311341' target='_blank'>relation/1311341</a>; type=<code>boundary/administrative</code>; importance=0.920</li><br/><small>Spain</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
2b8c76072cae21501a6e663f2dc13aa9
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
5c623300-ad20-4c18-bf00-b17204056367
|
<jats:p>Abstract. In this paper catchments are conceptualised as linear space-time filters. Catchment area A is interpreted as the spatial support and the catchment response time Tis interpreted as the temporal support of the runoff measurements. These two supports are related by T~Aκ which embodies the space-time connections of the rainfall-runoff process from a geostatistical perspective. To test the framework, spatio-temporal variograms are estimated from about 30 years of quarter hourly precipitation and runoff data from about 500 catchments in **Austria**. In a first step, spatio-temporal variogram models are fitted to the sample variograms for three catchment size classes independently. In a second step, variograms are fitted to all three catchment size classes jointly by estimating the parameters of a point/instantaneous spatio-temporal variogram model and aggregating (regularising) it to the spatial and temporal scales of the catchments. The exponential, Cressie-Huang and product-sum variogram models give good fits to the sample variograms of runoff with dimensionless errors ranging from 0.02 to 0.03, and the model parameters are plausible. This indicates that the first order effects of the spatio-temporal variability of runoff are indeed captured by conceptualising catchments as linear space-time filters. The scaling exponent κ is found to vary between 0.3 and 0.4 for different variogram models. </jats:p>
|
<ol>
<li><strong>Austria</strong> (Austria) – <a href='https://www.openstreetmap.org/relation/16239' target='_blank'>relation/16239</a>; type=<code>boundary/administrative</code>; importance=0.877</li><br/><small>Austria</small>
</ol>
| null | null | null | null | null | null |
a25c6cc4eba171eb82ec2b91c206a17e
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
d1768ecd-36f3-4613-bc3c-a4353c66a556
|
<jats:p>The paper aims at evaluating the potential biogas production, both in terms of CH4 and theoretical energy potential, from globe artichoke agricultural byproducts in Sardinia. Field data about the productivity of byproducts were collected on five artichoke varieties cultivated in **Sardinia**, to assess the biomethane production of their aboveground non-food parts (excluding the head). Moreover, secondary data from previous studies and surveys at regional scale were collected to evaluate the potential biogas production of the different districts. Fresh globe artichoke residues yielded, on average, 292.2 Nm3·tDOM−1, with dissimilarities among cultivars. Fresh samples were analyzed in two series: (a) wet basis; and (b) wet basis with catalytic enzymes application. Enzymes proved to have some beneficial effects in terms of anticipated biomethane availability. At the regional level, ab. 20 × 106 Nm3 CH4 could be produced, corresponding to the 60% of current installed capacity. However, districts potentials show some differences, depending on the specific biomass partitioning and on the productivity of cultivated varieties. Regional assessments should encompass the sensitiveness of results to agro-economic variables and the economic impacts of globe artichoke residue use in the current regional biogas sector.</jats:p>
|
<ol>
<li><strong>Sardinia</strong> (Sardinia, Italy) – <a href='https://www.openstreetmap.org/relation/7361997' target='_blank'>relation/7361997</a>; type=<code>boundary/administrative</code>; importance=0.750</li><br/><small>Sardinia, Italy</small>
</ol>
| null | null | null | null | null | null |
a49a39b844e25fc9eb28d6cc7a401495
|
completed
| 2025-06-24T11:53:52.708000
| 2025-07-24T10:34:51.045000
|
bf7d0e23-69e6-4c83-a312-6f768d8eb562
|
<jats:p>The paper aims at evaluating the potential biogas production, both in terms of CH4 and theoretical energy potential, from globe artichoke agricultural byproducts in **Sardinia**. Field data about the productivity of byproducts were collected on five artichoke varieties cultivated in Sardinia, to assess the biomethane production of their aboveground non-food parts (excluding the head). Moreover, secondary data from previous studies and surveys at regional scale were collected to evaluate the potential biogas production of the different districts. Fresh globe artichoke residues yielded, on average, 292.2 Nm3·tDOM−1, with dissimilarities among cultivars. Fresh samples were analyzed in two series: (a) wet basis; and (b) wet basis with catalytic enzymes application. Enzymes proved to have some beneficial effects in terms of anticipated biomethane availability. At the regional level, ab. 20 × 106 Nm3 CH4 could be produced, corresponding to the 60% of current installed capacity. However, districts potentials show some differences, depending on the specific biomass partitioning and on the productivity of cultivated varieties. Regional assessments should encompass the sensitiveness of results to agro-economic variables and the economic impacts of globe artichoke residue use in the current regional biogas sector.</jats:p>
|
<ol>
<li><strong>Sardinia</strong> (Sardinia, Italy) – <a href='https://www.openstreetmap.org/relation/7361997' target='_blank'>relation/7361997</a>; type=<code>boundary/administrative</code>; importance=0.750</li><br/><small>Sardinia, Italy</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
fe6071d70554abec35d1b2d6ad5141cf
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
1387b37e-38be-4c8b-a647-90a83eac8766
|
Krzysztofik R., Kantor-Pietraga I., Runge A., Spórna T., 2017, Is the suburbanisation stage always important in the transformation of large urban agglomerations? The case of the **Katowice** conurbation, Geographia Polonica, Vol. 90, Issue 2, pp. 71-85. DOI: https://doi.org/10.7163/GPol.0082.
|
<ol>
<li><strong>Katowice</strong> (Silesian Voivodeship, Poland) – <a href='https://www.openstreetmap.org/relation/1513057' target='_blank'>relation/1513057</a>; type=<code>boundary/administrative</code>; importance=0.664</li><br/><small>Katowice, Metropolis GZM, Silesian Voivodeship, Poland</small>
<li><strong>Katowice</strong> (Katowice, Silesian Voivodeship, Poland) – <a href='https://www.openstreetmap.org/relation/332321' target='_blank'>relation/332321</a>; type=<code>boundary/administrative</code>; importance=0.664</li><br/><small>Katowice, Metropolis GZM, Silesian Voivodeship, Poland</small>
</ol>
| null | null | null | null | null | null |
aa84132cbac2f9355dddc453c6c60209
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
dccb6032-d1ca-432b-85e9-de0b04ad9c0c
|
<jats:p>Kula Belgrade is the tallest building within the Belgrade Waterfront Project located on the right bank of the Sava River. It is envisaged as the future landmark of Belgrade and the pivotal point of Belgrade Waterfront development. It consists of a 168m high - 42 store tower, a podium and an eccentric basement. It is one of the rare towers in the world in which the bottom and the top parts are mutually rotated by 90° in plan and where such a transition is achieved through 7 floors - a configuration that imposes significant demands to the structure. While the 1st part of the article addressed specific topics related to design, this 2nd part is about the specific topics related to the construction of **Kula Belgrade**'s structure, including the enabling works, construction, and testing program of piles that comprised various types of tests, including the static compression test by Osterberg cell at two tower piles with a 1200 mm diameter. The article also addresses the construction of foundations, which included the concreting of a raft under the tower in volume of 4750m3 cast in one turn, the execution of core walls in jump form, the distinctive transfer structure and PT slabs.</jats:p>
|
<ol>
<li><strong>Millenium Tower</strong> (Zemun Urban Municipality, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/403091486' target='_blank'>way/403091486</a>; type=<code>man_made/tower</code>; importance=0.340</li><br/><small>Millenium Tower, 22, Grobljanska, Gardoš, Zemun, Zemun Urban Municipality, City of Belgrade, Central Serbia, 11080, Serbia</small>
<li><strong>Belgrade Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/670824807' target='_blank'>way/670824807</a>; type=<code>building/apartments</code>; importance=0.304</li><br/><small>Belgrade Tower, 1, Nikolaja Kravcova, Beograd na vodi, МЗ Слободан Пенезић-Крцун, Savski venac, Belgrade, City of Belgrade, Central Serbia, 11102, Serbia</small>
<li><strong>Nebojsa Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/89571511' target='_blank'>way/89571511</a>; type=<code>building/yes</code>; importance=0.294</li><br/><small>Nebojsa Tower, Bulevar vojvode Bojovica, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11158, Serbia</small>
<li><strong>Ušće Tower 1</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/27705962' target='_blank'>way/27705962</a>; type=<code>building/office</code>; importance=0.361</li><br/><small>Ušće Tower 1, 6, Булевар Михајла Пупина, MZ Usce, New Belgrade, Belgrade, City of Belgrade, Central Serbia, 11070, Serbia</small>
<li><strong>Sahat Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/518868353' target='_blank'>way/518868353</a>; type=<code>man_made/tower</code>; importance=0.199</li><br/><small>Sahat Tower, Калемегдан горњи град, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11106, Serbia</small>
<li><strong>Небојшина кула</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/627582482' target='_blank'>way/627582482</a>; type=<code>highway/footway</code>; importance=0.040</li><br/><small>Небојшина кула, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11106, Serbia</small>
<li><strong>Drvopromet-Kula</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/12108801225' target='_blank'>node/12108801225</a>; type=<code>office/company</code>; importance=0.000</li><br/><small>Drvopromet-Kula, 43b, Зрењанински пут, Дунавски венац, Palilula, Palilula Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11060, Serbia</small>
<li><strong>Baby Palace Anđela - Bela kula</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/7855575746' target='_blank'>node/7855575746</a>; type=<code>amenity/kindergarten</code>; importance=0.000</li><br/><small>Baby Palace Anđela - Bela kula, 7, Bregalnicka, МЗ Липов лад, Београд (Звездара), Zvezdara Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11000, Serbia</small>
<li><strong>Inex Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/395468050' target='_blank'>way/395468050</a>; type=<code>building/office</code>; importance=0.000</li><br/><small>Inex Tower, 1, Kraljice Marije, МЗ Ташмајдан, Palilula, Palilula Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11120, Serbia</small>
<li><strong>West 65 Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/715451454' target='_blank'>way/715451454</a>; type=<code>building/apartments</code>; importance=0.000</li><br/><small>West 65 Tower, 86, Омладинских бригада, Erport siti, Mladost, New Belgrade Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11070, Serbia</small>
</ol>
| null | null | null | null | null | null |
b1bfcb6579f4b69c8f60c51aef3f9e64
|
completed
| 2025-06-24T11:53:52.708000
| 2025-07-24T11:45:36.819000
|
1afe96f5-a72b-4610-945f-5350210e0bf9
|
<jats:p>Kula Belgrade is the tallest building within the Belgrade Waterfront Project located on the right bank of the Sava River. It is envisaged as the future landmark of Belgrade and the pivotal point of **Belgrade Waterfront** development. It consists of a 168m high - 42 store tower, a podium and an eccentric basement. It is one of the rare towers in the world in which the bottom and the top parts are mutually rotated by 90° in plan and where such a transition is achieved through 7 floors - a configuration that imposes significant demands to the structure. While the 1st part of the article addressed specific topics related to design, this 2nd part is about the specific topics related to the construction of Kula Belgrade's structure, including the enabling works, construction, and testing program of piles that comprised various types of tests, including the static compression test by Osterberg cell at two tower piles with a 1200 mm diameter. The article also addresses the construction of foundations, which included the concreting of a raft under the tower in volume of 4750m3 cast in one turn, the execution of core walls in jump form, the distinctive transfer structure and PT slabs.</jats:p>
|
<ol>
<li><strong>Cross Waterfront</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/1150493039' target='_blank'>way/1150493039</a>; type=<code>amenity/restaurant</code>; importance=0.000</li><br/><small>Cross Waterfront, Сава авенија, Beograd na vodi, МЗ Слободан Пенезић-Крцун, Savski venac, Belgrade, City of Belgrade, Central Serbia, 11102, Serbia</small>
<li><strong>Belgrade Waterfront - Sales Center</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/11744948700' target='_blank'>node/11744948700</a>; type=<code>office/estate_agent</code>; importance=0.000</li><br/><small>Belgrade Waterfront - Sales Center, 1, Nikolaja Kravcova, Beograd na vodi, МЗ Слободан Пенезић-Крцун, Savski venac, Belgrade, City of Belgrade, Central Serbia, 11102, Serbia</small>
<li><strong>Zemun Waterfront Quay</strong> (Zemun Urban Municipality, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/7196926285' target='_blank'>node/7196926285</a>; type=<code>tourism/viewpoint</code>; importance=0.000</li><br/><small>Zemun Waterfront Quay, Kej oslobodjenja, Retenzija, Zemun, Zemun Urban Municipality, City of Belgrade, Central Serbia, 11080, Serbia</small>
</ol>
|
[
2
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
838b6b5ab57b20d15e5a2a2d24618529
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
73b65540-20b9-4a13-8fee-c1b056c6ec75
|
<jats:p>Kula Belgrade is the tallest building within the Belgrade Waterfront Project located on the right bank of the Sava River. It is envisaged as the future landmark of **Belgrade** and the pivotal point of Belgrade Waterfront development. It consists of a 168m high - 42 store tower, a podium and an eccentric basement. It is one of the rare towers in the world in which the bottom and the top parts are mutually rotated by 90° in plan and where such a transition is achieved through 7 floors - a configuration that imposes significant demands to the structure. While the 1st part of the article addressed specific topics related to design, this 2nd part is about the specific topics related to the construction of Kula Belgrade's structure, including the enabling works, construction, and testing program of piles that comprised various types of tests, including the static compression test by Osterberg cell at two tower piles with a 1200 mm diameter. The article also addresses the construction of foundations, which included the concreting of a raft under the tower in volume of 4750m3 cast in one turn, the execution of core walls in jump form, the distinctive transfer structure and PT slabs.</jats:p>
|
<ol>
<li><strong>Belgrade</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/relation/2728438' target='_blank'>relation/2728438</a>; type=<code>place/city</code>; importance=0.769</li><br/><small>Belgrade, City of Belgrade, Central Serbia, Serbia</small>
<li><strong>City of Belgrade</strong> (City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/relation/1677007' target='_blank'>relation/1677007</a>; type=<code>boundary/administrative</code>; importance=0.515</li><br/><small>City of Belgrade, Central Serbia, Serbia</small>
<li><strong>City of Belgrade</strong> (Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/relation/13022323' target='_blank'>relation/13022323</a>; type=<code>boundary/administrative</code>; importance=0.515</li><br/><small>City of Belgrade, Central Serbia, Serbia</small>
<li><strong>Belgrade</strong> (Belgrade, Gallatin County, Montana, United States) – <a href='https://www.openstreetmap.org/relation/142443' target='_blank'>relation/142443</a>; type=<code>boundary/administrative</code>; importance=0.467</li><br/><small>Belgrade, Gallatin County, Montana, 59714, United States</small>
<li><strong>Belgrade</strong> (Belgrade, Stearns County, Minnesota, United States) – <a href='https://www.openstreetmap.org/relation/137726' target='_blank'>relation/137726</a>; type=<code>boundary/administrative</code>; importance=0.461</li><br/><small>Belgrade, Stearns County, Minnesota, United States</small>
<li><strong>Belgrade</strong> (Belgrade, Kennebec County, Maine, United States) – <a href='https://www.openstreetmap.org/relation/12189696' target='_blank'>relation/12189696</a>; type=<code>boundary/administrative</code>; importance=0.417</li><br/><small>Belgrade, Kennebec County, Maine, United States</small>
</ol>
| null | null | null | null | null | null |
69fbb0e98ee1e23661cb58c160ca25f3
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
6e9441bf-a930-43f6-9593-8c59464b9e91
|
<jats:p>Kula Belgrade is the tallest building within the Belgrade Waterfront Project located on the right bank of the **Sava River**. It is envisaged as the future landmark of Belgrade and the pivotal point of Belgrade Waterfront development. It consists of a 168m high - 42 store tower, a podium and an eccentric basement. It is one of the rare towers in the world in which the bottom and the top parts are mutually rotated by 90° in plan and where such a transition is achieved through 7 floors - a configuration that imposes significant demands to the structure. While the 1st part of the article addressed specific topics related to design, this 2nd part is about the specific topics related to the construction of Kula Belgrade's structure, including the enabling works, construction, and testing program of piles that comprised various types of tests, including the static compression test by Osterberg cell at two tower piles with a 1200 mm diameter. The article also addresses the construction of foundations, which included the concreting of a raft under the tower in volume of 4750m3 cast in one turn, the execution of core walls in jump form, the distinctive transfer structure and PT slabs.</jats:p>
|
<ol>
<li><strong>Sava river</strong> (Ljubljana, Slovenia) – <a href='https://www.openstreetmap.org/relation/538336' target='_blank'>relation/538336</a>; type=<code>natural/water</code>; importance=0.107</li><br/><small>Sava river, Četrtna skupnost Posavje, Ljubljana, Upravna Enota Ljubljana, Slovenia</small>
</ol>
| null | null | null | null | null | null |
b26c84b7607b354e328d6695efa5e20b
|
completed
| 2025-06-24T11:53:52.708000
| 2025-07-24T11:12:38.384000
|
efa75442-9a56-4466-beb0-2f38bcda9e79
|
<jats:p>**Kula Belgrade** is the tallest building within the Belgrade Waterfront Project located on the right bank of the Sava River. It is envisaged as the future landmark of Belgrade and the pivotal point of Belgrade Waterfront development. It consists of a 168m high - 42 store tower, a podium and an eccentric basement. It is one of the rare towers in the world in which the bottom and the top parts are mutually rotated by 90° in plan and where such a transition is achieved through 7 floors - a configuration that imposes significant demands to the structure. While the 1st part of the article addressed specific topics related to design, this 2nd part is about the specific topics related to the construction of Kula Belgrade's structure, including the enabling works, construction, and testing program of piles that comprised various types of tests, including the static compression test by Osterberg cell at two tower piles with a 1200 mm diameter. The article also addresses the construction of foundations, which included the concreting of a raft under the tower in volume of 4750m3 cast in one turn, the execution of core walls in jump form, the distinctive transfer structure and PT slabs.</jats:p>
|
<ol>
<li><strong>Millenium Tower</strong> (Zemun Urban Municipality, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/403091486' target='_blank'>way/403091486</a>; type=<code>man_made/tower</code>; importance=0.340</li><br/><small>Millenium Tower, 22, Grobljanska, Gardoš, Zemun, Zemun Urban Municipality, City of Belgrade, Central Serbia, 11080, Serbia</small>
<li><strong>Belgrade Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/670824807' target='_blank'>way/670824807</a>; type=<code>building/apartments</code>; importance=0.304</li><br/><small>Belgrade Tower, 1, Nikolaja Kravcova, Beograd na vodi, МЗ Слободан Пенезић-Крцун, Savski venac, Belgrade, City of Belgrade, Central Serbia, 11102, Serbia</small>
<li><strong>Nebojsa Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/89571511' target='_blank'>way/89571511</a>; type=<code>building/yes</code>; importance=0.294</li><br/><small>Nebojsa Tower, Bulevar vojvode Bojovica, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11158, Serbia</small>
<li><strong>Ušće Tower 1</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/27705962' target='_blank'>way/27705962</a>; type=<code>building/office</code>; importance=0.361</li><br/><small>Ušće Tower 1, 6, Булевар Михајла Пупина, MZ Usce, New Belgrade, Belgrade, City of Belgrade, Central Serbia, 11070, Serbia</small>
<li><strong>Sahat Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/518868353' target='_blank'>way/518868353</a>; type=<code>man_made/tower</code>; importance=0.199</li><br/><small>Sahat Tower, Калемегдан горњи град, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11106, Serbia</small>
<li><strong>Небојшина кула</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/627582482' target='_blank'>way/627582482</a>; type=<code>highway/footway</code>; importance=0.040</li><br/><small>Небојшина кула, Stari grad, Stari Grad Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11106, Serbia</small>
<li><strong>Drvopromet-Kula</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/12108801225' target='_blank'>node/12108801225</a>; type=<code>office/company</code>; importance=0.000</li><br/><small>Drvopromet-Kula, 43b, Зрењанински пут, Дунавски венац, Palilula, Palilula Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11060, Serbia</small>
<li><strong>Baby Palace Anđela - Bela kula</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/node/7855575746' target='_blank'>node/7855575746</a>; type=<code>amenity/kindergarten</code>; importance=0.000</li><br/><small>Baby Palace Anđela - Bela kula, 7, Bregalnicka, МЗ Липов лад, Београд (Звездара), Zvezdara Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11000, Serbia</small>
<li><strong>Inex Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/395468050' target='_blank'>way/395468050</a>; type=<code>building/office</code>; importance=0.000</li><br/><small>Inex Tower, 1, Kraljice Marije, МЗ Ташмајдан, Palilula, Palilula Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11120, Serbia</small>
<li><strong>West 65 Tower</strong> (Belgrade, City of Belgrade, Central Serbia, Serbia) – <a href='https://www.openstreetmap.org/way/715451454' target='_blank'>way/715451454</a>; type=<code>building/apartments</code>; importance=0.000</li><br/><small>West 65 Tower, 86, Омладинских бригада, Erport siti, Mladost, New Belgrade Urban Municipality, Belgrade, City of Belgrade, Central Serbia, 11070, Serbia</small>
</ol>
|
[
2
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
43f3ffa3149801f4916196df8ff3c6f3
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
8c92c415-bce8-41c8-87ae-9f8d8ccde2fa
|
<jats:p>With the rapid growth of car ownership in use, vehicle emissions have become one of the main sources of urban air pollution. In view of the problems existing in the maintenance and treatment of vehicle emission pollution, this paper puts forward the enthusiasm and necessity of speeding up the establishment of compulsory maintenance station (M station), adheres to the road of realizing practice, and combines with the practical experience of vehicle emission control in **Jiaozuo City**, puts forward the practical path of the new normalization management of vehicle emission compulsory maintenance, creatively promotes the treatment of vehicle emission Career development. It is of great significance to solve the more and more outstanding vehicle exhaust pollution.</jats:p>
|
<ol>
<li><strong>Jiaozuo</strong> (Henan, China) – <a href='https://www.openstreetmap.org/relation/3237564' target='_blank'>relation/3237564</a>; type=<code>boundary/administrative</code>; importance=0.565</li><br/><small>Jiaozuo, Henan, China</small>
</ol>
| null | null | null | null | null | null |
6c613f5ac79a517c9b236176810a49a5
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
2646703f-2d3d-4cba-b415-f96051d0dcc8
|
We take a social-ecological systems perspective to investigate the linkages between ecosystem services and human well-being in **South Africa**. A recent paper identified different types of social-ecological systems in the country, based on distinct bundles of ecosystem service use. These system types were found to represent increasingly weak direct feedbacks between nature and people, from rural "green-loop" communities to urban "red-loop" societies. Here we construct human well-being bundles and explore whether the well-being bundles can be used to identify the same social-ecological system types that were identified using bundles of ecosystem service use. Based on national census data, we found three distinct well-being bundle types that are mainly characterized by differences in income, unemployment and property ownership. The distribution of these well-being bundles approximates the distribution of ecosystem service use bundles to a substantial degree: High levels of income and education generally coincided with areas characterised by low levels of direct ecosystem service use (or red-loop systems), while the majority of low well-being areas coincided with medium and high levels of direct ecosystem service use (or transition and green-loop systems). However, our results indicate that transformations from green-loop to red-loop systems do not always entail an immediate improvement in well-being, which we suggest may be due to a time lag between changes in the different system components. Using human well-being bundles as an indicator of social-ecological dynamics may be useful in other contexts since it is based on socio-economic data commonly collected by governments, and provides important insights into the connections between ecosystem services and human well-being at policy-relevant sub-national scales.
|
<ol>
<li><strong>South Africa</strong> (South Africa) – <a href='https://www.openstreetmap.org/relation/87565' target='_blank'>relation/87565</a>; type=<code>boundary/administrative</code>; importance=0.836</li><br/><small>South Africa</small>
</ol>
| null | null | null | null | null | null |
f76fc5b1e2bafaedf89675cb4820969d
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
3a4f9fcf-ba9d-4ba9-ad9d-87a922cba20d
|
HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in **France** or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
|
<ol>
<li><strong>France</strong> (France) – <a href='https://www.openstreetmap.org/relation/2202162' target='_blank'>relation/2202162</a>; type=<code>boundary/administrative</code>; importance=0.969</li><br/><small>France</small>
</ol>
| null | null | null | null | null | null |
23fe86464914c6de798744ce7e99627a
|
pending
| 2025-06-24T11:53:52.708000
| 2025-06-24T11:53:52.708000
|
0525c7f4-0914-4d60-a59f-b320075694b7
|
<jats:p>Abstract. This paper analyses the use of BIM in heritage buildings, assessing the state-of-the-art and finding paths for further development. Specifically, this work is part of a broader project, which final aim is to support stakeholders through BIM. Given that humidity is one of the major causes of weathering, being able to detect, depict and forecast it, is a key task. A BIM model of a heritage building – enhanced with the integration of a weathering forecasting model – will be able to give detailed information on possible degradation patterns, and when they will happen. This information can be effectively used to plan both ordinary and extraordinary maintenance. The Jewel Tower in **London**, our case study, is digitised using combined laser scanning and photogrammetry, and a virtual model is produced. The point cloud derived from combined laser scanning &amp; photogrammetry is traced out in with Autodesk Revit, where the main volumetry (gross walls and floors) is created with parametric objects. Surface characterisation of the façade is given through renderings. Specifically, new rendering materials have been created for this purpose, based on rectified photos of the Tower. The model is then integrated with moisture data, organised in spreadsheets and linked to it via parametric objects representing the points where measurements had been previously taken. The spatial distribution of moisture is then depicted using Dynamo. This simple exercise demonstrates the potential Dynamo has for condition reporting, and future work will concentrate on the creation of a complex forecasting model to be linked through it. </jats:p>
|
<ol>
<li><strong>London</strong> (London, England, United Kingdom) – <a href='https://www.openstreetmap.org/relation/65606' target='_blank'>relation/65606</a>; type=<code>place/city</code>; importance=0.882</li><br/><small>London, Greater London, England, United Kingdom</small>
<li><strong>City of London</strong> (City of London, England, United Kingdom) – <a href='https://www.openstreetmap.org/relation/51800' target='_blank'>relation/51800</a>; type=<code>boundary/administrative</code>; importance=0.657</li><br/><small>City of London, Greater London, England, United Kingdom</small>
<li><strong>London</strong> (London, Ontario, Canada) – <a href='https://www.openstreetmap.org/relation/7485368' target='_blank'>relation/7485368</a>; type=<code>boundary/administrative</code>; importance=0.608</li><br/><small>London, Southwestern Ontario, Ontario, Canada</small>
</ol>
| null | null | null | null | null | null |
bb148c704ce30f179b1bfa786af20901
|
completed
| 2025-06-24T11:53:52.708000
| 2025-07-24T10:59:57.875000
|
4c330a50-33a0-4770-a48f-9b015c5083c5
|
<jats:p>Abstract. This paper analyses the use of BIM in heritage buildings, assessing the state-of-the-art and finding paths for further development. Specifically, this work is part of a broader project, which final aim is to support stakeholders through BIM. Given that humidity is one of the major causes of weathering, being able to detect, depict and forecast it, is a key task. A BIM model of a heritage building – enhanced with the integration of a weathering forecasting model – will be able to give detailed information on possible degradation patterns, and when they will happen. This information can be effectively used to plan both ordinary and extraordinary maintenance. The **Jewel Tower** in London, our case study, is digitised using combined laser scanning and photogrammetry, and a virtual model is produced. The point cloud derived from combined laser scanning &amp; photogrammetry is traced out in with Autodesk Revit, where the main volumetry (gross walls and floors) is created with parametric objects. Surface characterisation of the façade is given through renderings. Specifically, new rendering materials have been created for this purpose, based on rectified photos of the Tower. The model is then integrated with moisture data, organised in spreadsheets and linked to it via parametric objects representing the points where measurements had been previously taken. The spatial distribution of moisture is then depicted using Dynamo. This simple exercise demonstrates the potential Dynamo has for condition reporting, and future work will concentrate on the creation of a complex forecasting model to be linked through it. </jats:p>
|
<ol>
<li><strong>Jewel Tower</strong> (City of Westminster, England, United Kingdom) – <a href='https://www.openstreetmap.org/way/136105050' target='_blank'>way/136105050</a>; type=<code>man_made/tower</code>; importance=0.357</li><br/><small>Jewel Tower, Abingdon Street, Westminster, Millbank, City of Westminster, Greater London, England, SW1P 3RX, United Kingdom</small>
<li><strong>Jewel Tower</strong> (Cairo, Cairo, Egypt) – <a href='https://www.openstreetmap.org/node/6691725041' target='_blank'>node/6691725041</a>; type=<code>place/house</code>; importance=0.000</li><br/><small>Jewel Tower, 11, ابراج زهراء المعادى, Zahraa Al Maadi Area 3, Cairo, 11742, Egypt</small>
<li><strong>Jewel Tower</strong> (Mumbai, Maharashtra, India) – <a href='https://www.openstreetmap.org/way/255362217' target='_blank'>way/255362217</a>; type=<code>building/apartments</code>; importance=0.000</li><br/><small>Jewel Tower, St. Paul Road, Chimbai Village, H/W Ward, Zone 3, Mumbai, Maharashtra, 400050, India</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
ba9bc56ec19ce7c277fe2ca890695e12
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
6e6af17a-ca3b-4de5-8f22-0e1157e1f2e9
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, **China** was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>China</strong> (China) – <a href='https://www.openstreetmap.org/relation/270056' target='_blank'>relation/270056</a>; type=<code>boundary/administrative</code>; importance=0.931</li><br/><small>China</small>
</ol>
| null | null | null | null | null | null |
ab7140006cfaf76f8d265db7df60e85c
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
f7e3f01c-5330-4d1c-8c89-353157c071bd
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the **Americas**. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>Centro de Información INEGI Culiacán</strong> (Culiacán, Culiacán, Sinaloa, Mexico) – <a href='https://www.openstreetmap.org/node/2628106909' target='_blank'>node/2628106909</a>; type=<code>place/house</code>; importance=0.791</li><br/><small>Centro de Información INEGI Culiacán, 1221, Pasaje Comercial González Ortega, Centro Sinaloa, Culiacán, Culiacán Rosales, Culiacán, Sinaloa, 80129, Mexico</small>
<li><strong>Americas</strong> (Chapultepec, Americas, State of Mexico, Mexico) – <a href='https://www.openstreetmap.org/node/5055005525' target='_blank'>node/5055005525</a>; type=<code>place/village</code>; importance=0.147</li><br/><small>Americas, Chapultepec, State of Mexico, 52253, Mexico</small>
<li><strong>Americas</strong> (Pacobamba, Americas, Apurímac, Peru) – <a href='https://www.openstreetmap.org/node/3526795767' target='_blank'>node/3526795767</a>; type=<code>place/village</code>; importance=0.147</li><br/><small>Americas, Pacobamba, Province of Andahuaylas, Apurímac, Peru</small>
<li><strong>Americas</strong> (Chaparral, Tolima, Colombia) – <a href='https://www.openstreetmap.org/node/7330255071' target='_blank'>node/7330255071</a>; type=<code>place/neighbourhood</code>; importance=0.133</li><br/><small>Americas, Chaparral, Sur, Tolima, RAP (Especial) Central, 735560, Colombia</small>
<li><strong>Americas</strong> (Hermosillo, Hermosillo, Sonora, Mexico) – <a href='https://www.openstreetmap.org/way/29771705' target='_blank'>way/29771705</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Hermosillo, Sonora, 83105, Mexico</small>
<li><strong>Americas</strong> (Hermosillo, Hermosillo, Sonora, Mexico) – <a href='https://www.openstreetmap.org/way/29967004' target='_blank'>way/29967004</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Villa Colonial, Hermosillo, Sonora, 83105, Mexico</small>
<li><strong>Americas</strong> (Hermosillo, Hermosillo, Sonora, Mexico) – <a href='https://www.openstreetmap.org/way/29771708' target='_blank'>way/29771708</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Hermosillo, Sonora, 83100, Mexico</small>
<li><strong>Americas</strong> (Hermosillo, Hermosillo, Sonora, Mexico) – <a href='https://www.openstreetmap.org/way/29771730' target='_blank'>way/29771730</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Balderrama, Hermosillo, Sonora, 83138, Mexico</small>
<li><strong>Americas</strong> (Hermosillo, Hermosillo, Sonora, Mexico) – <a href='https://www.openstreetmap.org/way/29996650' target='_blank'>way/29996650</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Hermosillo, Sonora, 83138, Mexico</small>
<li><strong>Americas</strong> (Cosquín, Pedanía Rosario, Córdoba Province, Argentina) – <a href='https://www.openstreetmap.org/way/190684681' target='_blank'>way/190684681</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Americas, Cumbre Azul, Cosquín, Municipio de Cosquín, Pedanía Rosario, Departamento Punilla, Córdoba Province, X5166, Argentina</small>
</ol>
| null | null | null | null | null | null |
aa45f086aacf92cb43e0ecdbe2cdd70b
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
5e2b95ce-8285-4fb3-991e-78518312140b
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards **Northern Europe** and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>Northern Europe</strong> (Minsk, Belarus) – <a href='https://www.openstreetmap.org/way/1005863077' target='_blank'>way/1005863077</a>; type=<code>place/quarter</code>; importance=0.133</li><br/><small>Northern Europe, Minsk World, Kastrychnitski District, Minsk, Belarus</small>
</ol>
| null | null | null | null | null | null |
3c045f24d6367ddfe037f0d0e033a2b6
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
b721472e-3a6d-4de8-8d45-a9f214e9e411
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the Middle East and throughout **Southern Europe**. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>Southern Europe</strong> (Minsk, Belarus) – <a href='https://www.openstreetmap.org/way/870576764' target='_blank'>way/870576764</a>; type=<code>place/quarter</code>; importance=0.133</li><br/><small>Southern Europe, Minsk World, Kastrychnitski District, Minsk, Belarus</small>
</ol>
| null | null | null | null | null | null |
5b869e2740b486234fa7da28f5983b58
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T10:57:16.950000
|
ef953104-1790-42d7-ac8a-f5c1fcb5fa13
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in Africa and is widely distributed across the **Middle East** and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>Middle East</strong> (Baltimore, Maryland, United States) – <a href='https://www.openstreetmap.org/relation/12770700' target='_blank'>relation/12770700</a>; type=<code>boundary/administrative</code>; importance=0.348</li><br/><small>Middle East, Baltimore, Maryland, United States</small>
<li><strong>Middle East</strong> (Qalqilya, Area A, Palestinian Territory) – <a href='https://www.openstreetmap.org/way/37171459' target='_blank'>way/37171459</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Middle East, Qalqilya, Area A, West Bank, 110, Palestinian Territory</small>
</ol>
|
[
0
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
9cfc81de5022ef17fe90aa2e0416080f
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
fc3bd4f6-92e7-4384-a0c4-d3a502d5e6fb
|
<jats:title>Abstract</jats:title><jats:p>The Egyptian cotton leafworm, <jats:italic>Spodoptera littoralis</jats:italic> is a highly invasive insect pest that causes extensive damage to many of the primary food crops. Considering the recent challenges facing global food production including climate change, knowledge about the invasive potential of this pest is essential. In this study, the maximum entropy model (MaxEnt) was used to predict the current global spatial distribution of the pest and the future distribution using two representative concentration pathways (RCPs) 2.6 and 8.5 in 2050 and 2070. High AUC and TSS values indicated model accuracy and high performance. Response curves showed that the optimal temperature for the <jats:italic>S.</jats:italic><jats:italic>littoralis</jats:italic> is between 10 and 28 °C. The pest is currently found in **Africa** and is widely distributed across the Middle East and throughout Southern Europe. MaxEnt results revealed that the insect will shift towards Northern Europe and the Americas. Further, China was seen to have a suitable climate. We also extrapolated the impact of these results on major producing countries and how this affects trade flow, which help decision makers to take the invasiveness of such destructive pest into their account.</jats:p>
|
<ol>
<li><strong>Africa</strong> – <a href='https://www.openstreetmap.org/node/36966057' target='_blank'>node/36966057</a>; type=<code>place/continent</code>; importance=0.852</li><br/><small>Africa</small>
</ol>
| null | null | null | null | null | null |
1888ef6cf9ca4207db7566cd90c047ff
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
4ef4474b-2d0e-4ff7-8aae-a3d5ea9d9db1
|
<jats:p>Abstract. From January to March 2005, the Atmospheric Chemistry Experiment high resolution Fourier transform spectrometer (ACE-FTS) on SCISAT-1 measured many of the changes occurring in the **Arctic** (50–80° N) lower stratosphere under very cold winter conditions. Here we focus on the partitioning between the inorganic chlorine reservoirs HCl and ClONO2 and their activation into ClO. The simultaneous measurement of these species by the ACE-FTS provides the data needed to follow chlorine activation during the Arctic winter and the recovery of the Cl-reservoir species ClONO2 and HCl. The time evolution of HCl, ClONO2 and ClO as well as the partitioning between the two reservoir molecules agrees well with previous observations and with our current understanding of chlorine activation during Arctic winter. The results of a chemical box model are also compared with the ACE-FTS measurements and are generally consistent with the measurements. </jats:p>
|
<ol>
<li><strong>Arctic Ocean</strong> – <a href='https://www.openstreetmap.org/node/305639710' target='_blank'>node/305639710</a>; type=<code>place/ocean</code>; importance=0.668</li><br/><small>Arctic Ocean</small>
<li><strong>Arctic</strong> (West Warwick, Kent County, Rhode Island, United States) – <a href='https://www.openstreetmap.org/node/158876953' target='_blank'>node/158876953</a>; type=<code>place/neighbourhood</code>; importance=0.133</li><br/><small>Arctic, West Warwick, Kent County, Rhode Island, 02893, United States</small>
<li><strong>Arctic</strong> (Town of Masonville, Delaware County, New York, United States) – <a href='https://www.openstreetmap.org/node/158424682' target='_blank'>node/158424682</a>; type=<code>place/hamlet</code>; importance=0.133</li><br/><small>Arctic, Town of Masonville, Delaware County, New York, United States</small>
<li><strong>Arctic</strong> (Ulmi, Dâmbovița, Romania) – <a href='https://www.openstreetmap.org/way/1071378466' target='_blank'>way/1071378466</a>; type=<code>landuse/industrial</code>; importance=0.107</li><br/><small>Arctic, Ulmi, Dâmbovița, Romania</small>
<li><strong>Artic</strong> (Dubai, United Arab Emirates) – <a href='https://www.openstreetmap.org/way/202033666' target='_blank'>way/202033666</a>; type=<code>waterway/canal</code>; importance=0.133</li><br/><small>Artic, Dubai, United Arab Emirates</small>
<li><strong>Arctic</strong> (Matanuska-Susitna Borough, Alaska, United States) – <a href='https://www.openstreetmap.org/way/8986216' target='_blank'>way/8986216</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Arctic, Matanuska-Susitna Borough, Alaska, United States</small>
<li><strong>Arctic</strong> (Preston County, West Virginia, United States) – <a href='https://www.openstreetmap.org/way/15632417' target='_blank'>way/15632417</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Arctic, Preston County, West Virginia, United States</small>
<li><strong>Canadian Arctic Archipelago</strong> (Qikiqtaaluk Region, Nunavut, Canada) – <a href='https://www.openstreetmap.org/node/5282150821' target='_blank'>node/5282150821</a>; type=<code>place/archipelago</code>; importance=0.532</li><br/><small>Canadian Arctic Archipelago, Qikiqtaaluk Region, Nunavut, Canada</small>
<li><strong>Northwest Arctic Borough</strong> (Northwest Arctic Borough, Alaska, United States) – <a href='https://www.openstreetmap.org/relation/2605297' target='_blank'>relation/2605297</a>; type=<code>boundary/administrative</code>; importance=0.505</li><br/><small>Northwest Arctic Borough, Alaska, United States</small>
</ol>
| null | null | null | null | null | null |
3e0a707922a943ce5dd30bfe9a4de5ab
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T11:14:18.109000
|
c5318b2b-cdfb-4623-be40-47d29a829746
|
Neste estudo procedeu-se à caracterização hidroquímica de amostras de águas coletadas em poços de abastecimento da área urbana de Bauru. Os poços utilizados apresentam seção filtrante nos sistemas aquíferos Bauru e Guarani que ocorrem na área. Os resultados assinalam que as águas do Sistema Aquífero Bauru (SAB) são predominantemente ácidas e bicarbonatadas cálcicas, provavelmente devido à dissolução de carbonatos e à monossialitização de feldspatos, enquanto as águas do Sistema Aquífero Guarani (SAG) apresentam-se predominantemente básicas e bicarbonatadas sódicas, com provável precipitação de carbonatos e reações de troca catiônica. Essas diferenças mostram que esses sistemas aquíferos são independentes na área urbana de Bauru, mesmo estando o SAB assentado diretamente sobre o SAG, uma vez que não são encontradas rochas vulcânicas da Formação Serra Geral entre o Grupo Bauru e as formações Pirambóia e **Bot**ucatu na área. Contudo, em dois poços do SAG o pH e as concentrações de cálcio, nitrato e cloreto são similares aos obtidos para as águas do SAB, denotando que nesses locais os sistemas aquíferos estão interconectados, provavelmente por características de construção dos próprios poços, ocasionando contaminação cruzada, onde a infiltração ocorre através do pré-filtro. Nota-se ainda que as águas do SAB apresentam concentrações maiores de nitrato e cloreto na porção central da área de estudo, como resultado de influência antrópica.
|
<ol>
<li><strong>Bot</strong> (Bot, Terra Alta, Catalonia, Tarragona, Spain) – <a href='https://www.openstreetmap.org/relation/346546' target='_blank'>relation/346546</a>; type=<code>boundary/administrative</code>; importance=0.466</li><br/><small>Bot, Terra Alta, Tarragona, Catalonia, 43785, Spain</small>
<li><strong>Bot</strong> (Västra Götaland County, Sweden) – <a href='https://www.openstreetmap.org/relation/11020420' target='_blank'>relation/11020420</a>; type=<code>place/islet</code>; importance=0.133</li><br/><small>Bot, Tanums kommun, Västra Götaland County, Sweden</small>
<li><strong>Bot</strong> (Västra Götaland County, Sweden) – <a href='https://www.openstreetmap.org/relation/10523411' target='_blank'>relation/10523411</a>; type=<code>place/islet</code>; importance=0.133</li><br/><small>Bot, Ängen, Tanums kommun, Västra Götaland County, Sweden</small>
<li><strong>Bot</strong> (Västra Götaland County, Sweden) – <a href='https://www.openstreetmap.org/node/7477024977' target='_blank'>node/7477024977</a>; type=<code>place/hamlet</code>; importance=0.133</li><br/><small>Bot, Orust kommun, Västra Götaland County, 474 96, Sweden</small>
<li><strong>Bot</strong> (Chilchinna, Bhanoli, Uttarakhand, India) – <a href='https://www.openstreetmap.org/node/7938303405' target='_blank'>node/7938303405</a>; type=<code>place/hamlet</code>; importance=0.133</li><br/><small>Bot, Chilchinna, Bhanoli, Almora, Uttarakhand, 263623, India</small>
<li><strong>Botswana</strong> (Botswana) – <a href='https://www.openstreetmap.org/relation/1889339' target='_blank'>relation/1889339</a>; type=<code>boundary/administrative</code>; importance=0.716</li><br/><small>Botswana</small>
</ol>
|
[
0
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
8eaa6e2a4e4fc78cf560223266b970d1
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
f9082b4c-6378-4933-8d02-51035a8de863
|
Neste estudo procedeu-se à caracterização hidroquímica de amostras de águas coletadas em poços de abastecimento da área urbana de Bauru. Os poços utilizados apresentam seção filtrante nos sistemas aquíferos Bauru e Guarani que ocorrem na área. Os resultados assinalam que as águas do Sistema Aquífero Bauru (SAB) são predominantemente ácidas e bicarbonatadas cálcicas, provavelmente devido à dissolução de carbonatos e à monossialitização de feldspatos, enquanto as águas do Sistema Aquífero Guarani (SAG) apresentam-se predominantemente básicas e bicarbonatadas sódicas, com provável precipitação de carbonatos e reações de troca catiônica. Essas diferenças mostram que esses sistemas aquíferos são independentes na área urbana de **Bauru**, mesmo estando o SAB assentado diretamente sobre o SAG, uma vez que não são encontradas rochas vulcânicas da Formação Serra Geral entre o Grupo Bauru e as formações Pirambóia e Botucatu na área. Contudo, em dois poços do SAG o pH e as concentrações de cálcio, nitrato e cloreto são similares aos obtidos para as águas do SAB, denotando que nesses locais os sistemas aquíferos estão interconectados, provavelmente por características de construção dos próprios poços, ocasionando contaminação cruzada, onde a infiltração ocorre através do pré-filtro. Nota-se ainda que as águas do SAB apresentam concentrações maiores de nitrato e cloreto na porção central da área de estudo, como resultado de influência antrópica.
|
<ol>
<li><strong>Bauru</strong> (São Paulo, Brazil) – <a href='https://www.openstreetmap.org/relation/298315' target='_blank'>relation/298315</a>; type=<code>boundary/administrative</code>; importance=0.575</li><br/><small>Bauru, Região Imediata de Bauru, Região Geográfica Intermediária de Bauru, São Paulo, Southeast Region, Brazil</small>
<li><strong>Bauru</strong> (Bauru, São Paulo, Brazil) – <a href='https://www.openstreetmap.org/relation/5683051' target='_blank'>relation/5683051</a>; type=<code>boundary/administrative</code>; importance=0.160</li><br/><small>Bauru, Região Imediata de Bauru, Região Geográfica Intermediária de Bauru, São Paulo, Southeast Region, Brazil</small>
</ol>
| null | null | null | null | null | null |
2f88aa6dd598694ed469842e7036f8e6
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
ea6d3760-8c32-4898-ad0e-482f78710e8d
|
Neste estudo procedeu-se à caracterização hidroquímica de amostras de águas coletadas em poços de abastecimento da área urbana de Bauru. Os poços utilizados apresentam seção filtrante nos sistemas aquíferos Bauru e Guarani que ocorrem na área. Os resultados assinalam que as águas do **Sistema Aquífero** Bauru (SAB) são predominantemente ácidas e bicarbonatadas cálcicas, provavelmente devido à dissolução de carbonatos e à monossialitização de feldspatos, enquanto as águas do Sistema Aquífero Guarani (SAG) apresentam-se predominantemente básicas e bicarbonatadas sódicas, com provável precipitação de carbonatos e reações de troca catiônica. Essas diferenças mostram que esses sistemas aquíferos são independentes na área urbana de Bauru, mesmo estando o SAB assentado diretamente sobre o SAG, uma vez que não são encontradas rochas vulcânicas da Formação Serra Geral entre o Grupo Bauru e as formações Pirambóia e Botucatu na área. Contudo, em dois poços do SAG o pH e as concentrações de cálcio, nitrato e cloreto são similares aos obtidos para as águas do SAB, denotando que nesses locais os sistemas aquíferos estão interconectados, provavelmente por características de construção dos próprios poços, ocasionando contaminação cruzada, onde a infiltração ocorre através do pré-filtro. Nota-se ainda que as águas do SAB apresentam concentrações maiores de nitrato e cloreto na porção central da área de estudo, como resultado de influência antrópica.
|
<p>No candidates available</p>
| null | null | null | null | null | null |
2a11ee9b90b7052fb0b942b126194499
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T11:12:52.711000
|
0fb6a852-b5ef-4ca5-9e38-43ea167266f1
|
Neste estudo procedeu-se à caracterização hidroquímica de amostras de águas coletadas em poços de abastecimento da área urbana de **Bauru**. Os poços utilizados apresentam seção filtrante nos sistemas aquíferos Bauru e Guarani que ocorrem na área. Os resultados assinalam que as águas do Sistema Aquífero Bauru (SAB) são predominantemente ácidas e bicarbonatadas cálcicas, provavelmente devido à dissolução de carbonatos e à monossialitização de feldspatos, enquanto as águas do Sistema Aquífero Guarani (SAG) apresentam-se predominantemente básicas e bicarbonatadas sódicas, com provável precipitação de carbonatos e reações de troca catiônica. Essas diferenças mostram que esses sistemas aquíferos são independentes na área urbana de Bauru, mesmo estando o SAB assentado diretamente sobre o SAG, uma vez que não são encontradas rochas vulcânicas da Formação Serra Geral entre o Grupo Bauru e as formações Pirambóia e Botucatu na área. Contudo, em dois poços do SAG o pH e as concentrações de cálcio, nitrato e cloreto são similares aos obtidos para as águas do SAB, denotando que nesses locais os sistemas aquíferos estão interconectados, provavelmente por características de construção dos próprios poços, ocasionando contaminação cruzada, onde a infiltração ocorre através do pré-filtro. Nota-se ainda que as águas do SAB apresentam concentrações maiores de nitrato e cloreto na porção central da área de estudo, como resultado de influência antrópica.
|
<ol>
<li><strong>Bauru</strong> (São Paulo, Brazil) – <a href='https://www.openstreetmap.org/relation/298315' target='_blank'>relation/298315</a>; type=<code>boundary/administrative</code>; importance=0.575</li><br/><small>Bauru, Região Imediata de Bauru, Região Geográfica Intermediária de Bauru, São Paulo, Southeast Region, Brazil</small>
<li><strong>Bauru</strong> (Bauru, São Paulo, Brazil) – <a href='https://www.openstreetmap.org/relation/5683051' target='_blank'>relation/5683051</a>; type=<code>boundary/administrative</code>; importance=0.160</li><br/><small>Bauru, Região Imediata de Bauru, Região Geográfica Intermediária de Bauru, São Paulo, Southeast Region, Brazil</small>
</ol>
|
[
2
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
0d01b2a97af4f72e628d51f6c868e474
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
9853d74b-6d06-439e-b8fd-a63e0c697527
|
<jats:p>In this research, the socio-economic determinants of housing market values have been examined, highlighting their respective contributions to the formation of the property prices and, in particular, verifying the property tax liability. The property tax is a factor that could determine, through modest fluctuations, the revival of the property demand, generating positive effects also on the construction sector, which has been currently affected by the negative real estate contingency. The functional correlations of housing prices with the main socio-economic variables considered (i.e., housing rents, household incomes, household consumptions, property taxes, population and mean population age) have been explained through an econometric analysis implemented with an innovative methodology that uses multi-objective genetic algorithms. The analysis is contextualized to the Apulia region in the South of Italy, and the population of the sample studied consists of 258 individuals, corresponding to the municipalities of the region. In particular, the data collected for each variable considered refer to two different moments, that is, the year 2011 and the year 2015, in order to take into account the fiscal tightening that has occurred in **Italy** in this period of time. The elaborations carried out have allowed us to enucleate interesting functional relationships between property prices and the explanatory variables considered.</jats:p>
|
<ol>
<li><strong>Italy</strong> (Italy) – <a href='https://www.openstreetmap.org/relation/365331' target='_blank'>relation/365331</a>; type=<code>boundary/administrative</code>; importance=0.938</li><br/><small>Italy</small>
</ol>
| null | null | null | null | null | null |
4a1b3beee7303aa22b30b079136d567f
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
ce3aa05b-0f0f-4a07-8420-caf4955c0bbf
|
<jats:p>In this research, the socio-economic determinants of housing market values have been examined, highlighting their respective contributions to the formation of the property prices and, in particular, verifying the property tax liability. The property tax is a factor that could determine, through modest fluctuations, the revival of the property demand, generating positive effects also on the construction sector, which has been currently affected by the negative real estate contingency. The functional correlations of housing prices with the main socio-economic variables considered (i.e., housing rents, household incomes, household consumptions, property taxes, population and mean population age) have been explained through an econometric analysis implemented with an innovative methodology that uses multi-objective genetic algorithms. The analysis is contextualized to the Apulia region in the South of **Italy**, and the population of the sample studied consists of 258 individuals, corresponding to the municipalities of the region. In particular, the data collected for each variable considered refer to two different moments, that is, the year 2011 and the year 2015, in order to take into account the fiscal tightening that has occurred in Italy in this period of time. The elaborations carried out have allowed us to enucleate interesting functional relationships between property prices and the explanatory variables considered.</jats:p>
|
<ol>
<li><strong>Italy</strong> (Italy) – <a href='https://www.openstreetmap.org/relation/365331' target='_blank'>relation/365331</a>; type=<code>boundary/administrative</code>; importance=0.938</li><br/><small>Italy</small>
</ol>
| null | null | null | null | null | null |
65c1bee5d78f2d89bb582e90e240d679
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T10:45:03.230000
|
00769c15-245c-44f3-aef1-abdf6c12a241
|
<jats:p>In this research, the socio-economic determinants of housing market values have been examined, highlighting their respective contributions to the formation of the property prices and, in particular, verifying the property tax liability. The property tax is a factor that could determine, through modest fluctuations, the revival of the property demand, generating positive effects also on the construction sector, which has been currently affected by the negative real estate contingency. The functional correlations of housing prices with the main socio-economic variables considered (i.e., housing rents, household incomes, household consumptions, property taxes, population and mean population age) have been explained through an econometric analysis implemented with an innovative methodology that uses multi-objective genetic algorithms. The analysis is contextualized to the **Apulia** region in the South of Italy, and the population of the sample studied consists of 258 individuals, corresponding to the municipalities of the region. In particular, the data collected for each variable considered refer to two different moments, that is, the year 2011 and the year 2015, in order to take into account the fiscal tightening that has occurred in Italy in this period of time. The elaborations carried out have allowed us to enucleate interesting functional relationships between property prices and the explanatory variables considered.</jats:p>
|
<ol>
<li><strong>Apulia</strong> (Apulia, Italy) – <a href='https://www.openstreetmap.org/relation/40095' target='_blank'>relation/40095</a>; type=<code>boundary/administrative</code>; importance=0.732</li><br/><small>Apulia, Italy</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
12e098b42d37a4e26487c739fc37b042
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
275e09e3-cc6e-4801-b610-a164e2cfe403
|
<jats:title>Abstract</jats:title> <jats:p>Deforestation represents an important contributor to climate change. For this reason, identifying conditions that enable the adoption of policies halting or reversing this process is crucial to avoid catastrophic climate change. The Argentinian Gran Chaco is a hotspot of deforestation, mainly due to the expansion of capital-intensive agriculture. In Argentina, the introduction of the national forest law (NFL) represents an important step to protect the remaining forests. However, in the Chaco ecoregion, the implementation of the NFL by the different provinces is extremely heterogeneous. Previous research has provided rich descriptions of the dynamics behind the implementation of the NFL. Yet this research, mainly based on qualitative approaches, does not allow for a systematic analysis of the conditions leading to more or less stringent implementations of the NFL. To address this gap, we first combine the socio-ecological systems framework with historical materialism to generate a plausible hypothesis for the heterogeneous implementation of the NFL across the 12 different provinces of the **Argentina Chaco**. Specifically, we hypothesise that it is the differences in contextual factors (i.e. differences in forest cover), material/economic conditions (i.e. presence and extent of capital-intensive agriculture) and the strength of pro- and anti-deforestation coalitions, which lead to a heterogeneous territorial classification of native forests across the various provinces. Subsequently, we test the hypothesis by developing thorough case studies via qualitative comparative analysis. This approach allows us to study in a more systematic way the reasons for the observed institutional heterogeneity. The results show that the proportion of native forests characterised as of low conservation value reflects both the environmental context (i.e. the extent of native forests) as well as the material/economic conditions (i.e. the extent of capital-intensive agriculture) and the presence of strong pro-deforestation cultures, expressed via pro-deforestation coalitions.</jats:p>
|
<ol>
<li><strong>Chaco</strong> (Chaco, Argentina) – <a href='https://www.openstreetmap.org/relation/153554' target='_blank'>relation/153554</a>; type=<code>boundary/administrative</code>; importance=0.566</li><br/><small>Chaco, Argentina</small>
</ol>
| null | null | null | null | null | null |
409f0edc98b99f5ff5bb34f4d1c723ec
|
completed
| 2025-06-24T11:53:53.848000
| 2025-06-24T12:07:10.397000
|
36dda365-7fd7-4979-844d-ddf91a0e90e6
|
<jats:title>Abstract</jats:title> <jats:p>Deforestation represents an important contributor to climate change. For this reason, identifying conditions that enable the adoption of policies halting or reversing this process is crucial to avoid catastrophic climate change. The Argentinian Gran Chaco is a hotspot of deforestation, mainly due to the expansion of capital-intensive agriculture. In Argentina, the introduction of the national forest law (NFL) represents an important step to protect the remaining forests. However, in the **Chaco** ecoregion, the implementation of the NFL by the different provinces is extremely heterogeneous. Previous research has provided rich descriptions of the dynamics behind the implementation of the NFL. Yet this research, mainly based on qualitative approaches, does not allow for a systematic analysis of the conditions leading to more or less stringent implementations of the NFL. To address this gap, we first combine the socio-ecological systems framework with historical materialism to generate a plausible hypothesis for the heterogeneous implementation of the NFL across the 12 different provinces of the Argentinian Chaco. Specifically, we hypothesise that it is the differences in contextual factors (i.e. differences in forest cover), material/economic conditions (i.e. presence and extent of capital-intensive agriculture) and the strength of pro- and anti-deforestation coalitions, which lead to a heterogeneous territorial classification of native forests across the various provinces. Subsequently, we test the hypothesis by developing thorough case studies via qualitative comparative analysis. This approach allows us to study in a more systematic way the reasons for the observed institutional heterogeneity. The results show that the proportion of native forests characterised as of low conservation value reflects both the environmental context (i.e. the extent of native forests) as well as the material/economic conditions (i.e. the extent of capital-intensive agriculture) and the presence of strong pro-deforestation cultures, expressed via pro-deforestation coalitions.</jats:p>
|
<ol>
<li><strong>Chaco</strong> (Chaco, Argentina) – <a href='https://www.openstreetmap.org/relation/153554' target='_blank'>relation/153554</a>; type=<code>boundary/administrative</code>; importance=0.566</li><br/><small>Chaco, Argentina</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
34426a264e1289cf59c9282d690a39f9
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
64156484-4b7f-480e-92a7-2c1a2b579ec6
|
<jats:title>Abstract</jats:title> <jats:p>Deforestation represents an important contributor to climate change. For this reason, identifying conditions that enable the adoption of policies halting or reversing this process is crucial to avoid catastrophic climate change. The Argentinian Gran Chaco is a hotspot of deforestation, mainly due to the expansion of capital-intensive agriculture. In **Argentina**, the introduction of the national forest law (NFL) represents an important step to protect the remaining forests. However, in the Chaco ecoregion, the implementation of the NFL by the different provinces is extremely heterogeneous. Previous research has provided rich descriptions of the dynamics behind the implementation of the NFL. Yet this research, mainly based on qualitative approaches, does not allow for a systematic analysis of the conditions leading to more or less stringent implementations of the NFL. To address this gap, we first combine the socio-ecological systems framework with historical materialism to generate a plausible hypothesis for the heterogeneous implementation of the NFL across the 12 different provinces of the Argentinian Chaco. Specifically, we hypothesise that it is the differences in contextual factors (i.e. differences in forest cover), material/economic conditions (i.e. presence and extent of capital-intensive agriculture) and the strength of pro- and anti-deforestation coalitions, which lead to a heterogeneous territorial classification of native forests across the various provinces. Subsequently, we test the hypothesis by developing thorough case studies via qualitative comparative analysis. This approach allows us to study in a more systematic way the reasons for the observed institutional heterogeneity. The results show that the proportion of native forests characterised as of low conservation value reflects both the environmental context (i.e. the extent of native forests) as well as the material/economic conditions (i.e. the extent of capital-intensive agriculture) and the presence of strong pro-deforestation cultures, expressed via pro-deforestation coalitions.</jats:p>
|
<ol>
<li><strong>Argentina</strong> (Argentina) – <a href='https://www.openstreetmap.org/relation/286393' target='_blank'>relation/286393</a>; type=<code>boundary/administrative</code>; importance=0.862</li><br/><small>Argentina</small>
</ol>
| null | null | null | null | null | null |
4314bce817e22a29549d089fa07a3133
|
pending
| 2025-06-24T11:53:53.848000
| 2025-06-24T11:53:53.848000
|
0d7d1531-dc61-4fbc-860b-56d04d7f981a
|
<jats:title>Abstract</jats:title> <jats:p>Deforestation represents an important contributor to climate change. For this reason, identifying conditions that enable the adoption of policies halting or reversing this process is crucial to avoid catastrophic climate change. The **Argentina Gran Chaco** is a hotspot of deforestation, mainly due to the expansion of capital-intensive agriculture. In Argentina, the introduction of the national forest law (NFL) represents an important step to protect the remaining forests. However, in the Chaco ecoregion, the implementation of the NFL by the different provinces is extremely heterogeneous. Previous research has provided rich descriptions of the dynamics behind the implementation of the NFL. Yet this research, mainly based on qualitative approaches, does not allow for a systematic analysis of the conditions leading to more or less stringent implementations of the NFL. To address this gap, we first combine the socio-ecological systems framework with historical materialism to generate a plausible hypothesis for the heterogeneous implementation of the NFL across the 12 different provinces of the Argentinian Chaco. Specifically, we hypothesise that it is the differences in contextual factors (i.e. differences in forest cover), material/economic conditions (i.e. presence and extent of capital-intensive agriculture) and the strength of pro- and anti-deforestation coalitions, which lead to a heterogeneous territorial classification of native forests across the various provinces. Subsequently, we test the hypothesis by developing thorough case studies via qualitative comparative analysis. This approach allows us to study in a more systematic way the reasons for the observed institutional heterogeneity. The results show that the proportion of native forests characterised as of low conservation value reflects both the environmental context (i.e. the extent of native forests) as well as the material/economic conditions (i.e. the extent of capital-intensive agriculture) and the presence of strong pro-deforestation cultures, expressed via pro-deforestation coalitions.</jats:p>
|
<ol>
<li><strong>Gran Chaco</strong> (Paraná, Distrito Sauce, Argentina) – <a href='https://www.openstreetmap.org/way/32866472' target='_blank'>way/32866472</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, Barrio Pablo Balbi, Paraná, Municipio de Paraná, Distrito Sauce, Departamento Paraná, E3100, Argentina</small>
<li><strong>Gran Chaco</strong> (Paraná, Distrito Sauce, Argentina) – <a href='https://www.openstreetmap.org/way/432694297' target='_blank'>way/432694297</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, Giachino, Paraná, Municipio de Paraná, Distrito Sauce, Departamento Paraná, E3100, Argentina</small>
<li><strong>Gran Chaco</strong> (Pueblo Brugo, Distrito Antonio Tomás, Argentina) – <a href='https://www.openstreetmap.org/way/137589314' target='_blank'>way/137589314</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, Pueblo Brugo, Junta de Gobierno de Pueblo Brugo, Distrito Antonio Tomás, Departamento Paraná, E3125, Argentina</small>
<li><strong>Gran Chaco</strong> (Río Segundo, Pedanía Pilar, Córdoba Province, Argentina) – <a href='https://www.openstreetmap.org/way/95458198' target='_blank'>way/95458198</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, Sector Sur, Río Segundo, Municipio de Río Segundo, Pedanía Pilar, Departamento Río Segundo, Córdoba Province, X5960, Argentina</small>
<li><strong>Gran Chaco</strong> (San Marcos Sud, Pedanía Bell Ville, Córdoba Province, Argentina) – <a href='https://www.openstreetmap.org/way/124809309' target='_blank'>way/124809309</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, San Marcos Sud, Municipio de San Marcos Sud, Pedanía Bell Ville, Departamento Unión, Córdoba Province, X2550, Argentina</small>
<li><strong>Gran Chaco</strong> (Río Segundo, Pedanía Pilar, Córdoba Province, Argentina) – <a href='https://www.openstreetmap.org/way/123157703' target='_blank'>way/123157703</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Gran Chaco, Barrio Belgrano, Río Segundo, Municipio de Río Segundo, Pedanía Pilar, Departamento Río Segundo, Córdoba Province, X5960, Argentina</small>
</ol>
| null | null | null | null | null | null |
86327c2238c4e28a105085c6e3bc6262
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T11:18:17.043000
|
396e2201-5be2-4d0c-8b37-65a8231ab4d0
|
<jats:p>Meteorological and climate prediction models at the urban scale increasingly require more accurate and high-resolution data. The Local Climate Zone (LCZ) system is an initiative to standardize a classification scheme of the urban landscape, based mainly on the properties of surface structure (e.g., building, tree height, density) and surface cover (pervious vs. impervious). This approach is especially useful for studying the influence of urban morphology and fabric on the surface urban heat island (SUHI) effect and to evaluate how changes in land use and structures affect thermal regulation in the city. This article will demonstrate three different methodologies of creating LCZs: first, the World Urban Database and Access Portal Tools (WUDAPT); second, using Copernicus Urban Atlas (UA) data via a geographic information system (GIS) client directly; and third via Google Earth Engine (GEE) using Oslo, Norway as the case study. The WUDAPT and GEE methods incorporate a machine learning (random forest) procedure using Landsat 8 imagery, and offer the most precision while requiring the most time and familiarity with GIS usage and satellite imagery processing. The WUDAPT method is performed principally using multiple GIS clients and image processing tools. The GEE method is somewhat quicker to perform, with work performed entirely on Google’s sites. The UA or GIS method is performed solely via a GIS client and is a conversion of pre-existing vector data to LCZ classes via scripting. This is the quickest method of the three; however, the reclassification of the vector data determines the accuracy of the LCZs produced. Finally, as an illustration of a practical use of LCZs and to further compare the results of the three methods, we map the distribution of the temperature according to the LCZs of each method, correlating to the land surface temperature (LST) from a Landsat 8 image pertaining to a heat wave episode that occurred in **Oslo** in 2018. These results show, in addition to a clear LCZ-LST correspondence, that the three methods produce accurate and similar results and are all viable options.</jats:p>
|
<ol>
<li><strong>Oslo</strong> (Oslo, Norway) – <a href='https://www.openstreetmap.org/relation/406091' target='_blank'>relation/406091</a>; type=<code>boundary/administrative</code>; importance=0.763</li><br/><small>Oslo, Norway</small>
<li><strong>Oslo</strong> (Oslo, Marshall County, Minnesota, United States) – <a href='https://www.openstreetmap.org/relation/137881' target='_blank'>relation/137881</a>; type=<code>boundary/administrative</code>; importance=0.458</li><br/><small>Oslo, Marshall County, Minnesota, United States</small>
<li><strong>Oslo</strong> (Oslo, Norway) – <a href='https://www.openstreetmap.org/relation/2775550' target='_blank'>relation/2775550</a>; type=<code>boundary/administrative</code>; importance=0.445</li><br/><small>Oslo, Norway</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
19b51b2159397e5abc9079b3f69d3418
|
completed
| 2025-06-24T11:53:53.848000
| 2025-07-24T10:52:23.557000
|
bbda7512-2bbe-45fa-8c31-422864912ade
|
<jats:p>Meteorological and climate prediction models at the urban scale increasingly require more accurate and high-resolution data. The Local Climate Zone (LCZ) system is an initiative to standardize a classification scheme of the urban landscape, based mainly on the properties of surface structure (e.g., building, tree height, density) and surface cover (pervious vs. impervious). This approach is especially useful for studying the influence of urban morphology and fabric on the surface urban heat island (SUHI) effect and to evaluate how changes in land use and structures affect thermal regulation in the city. This article will demonstrate three different methodologies of creating LCZs: first, the World Urban Database and Access Portal Tools (WUDAPT); second, using Copernicus Urban Atlas (UA) data via a geographic information system (GIS) client directly; and third via Google Earth Engine (GEE) using Oslo, **Norway** as the case study. The WUDAPT and GEE methods incorporate a machine learning (random forest) procedure using Landsat 8 imagery, and offer the most precision while requiring the most time and familiarity with GIS usage and satellite imagery processing. The WUDAPT method is performed principally using multiple GIS clients and image processing tools. The GEE method is somewhat quicker to perform, with work performed entirely on Google’s sites. The UA or GIS method is performed solely via a GIS client and is a conversion of pre-existing vector data to LCZ classes via scripting. This is the quickest method of the three; however, the reclassification of the vector data determines the accuracy of the LCZs produced. Finally, as an illustration of a practical use of LCZs and to further compare the results of the three methods, we map the distribution of the temperature according to the LCZs of each method, correlating to the land surface temperature (LST) from a Landsat 8 image pertaining to a heat wave episode that occurred in Oslo in 2018. These results show, in addition to a clear LCZ-LST correspondence, that the three methods produce accurate and similar results and are all viable options.</jats:p>
|
<ol>
<li><strong>Norway</strong> (Norway) – <a href='https://www.openstreetmap.org/relation/2978650' target='_blank'>relation/2978650</a>; type=<code>boundary/administrative</code>; importance=0.872</li><br/><small>Norway</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
12234f7a772f05e16250762ec215da36
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
1cdce4b0-10b2-4337-b3e1-d5457301259b
|
<jats:p>Meteorological and climate prediction models at the urban scale increasingly require more accurate and high-resolution data. The Local Climate Zone (LCZ) system is an initiative to standardize a classification scheme of the urban landscape, based mainly on the properties of surface structure (e.g., building, tree height, density) and surface cover (pervious vs. impervious). This approach is especially useful for studying the influence of urban morphology and fabric on the surface urban heat island (SUHI) effect and to evaluate how changes in land use and structures affect thermal regulation in the city. This article will demonstrate three different methodologies of creating LCZs: first, the World Urban Database and Access Portal Tools (WUDAPT); second, using Copernicus Urban Atlas (UA) data via a geographic information system (GIS) client directly; and third via Google Earth Engine (GEE) using **Oslo**, Norway as the case study. The WUDAPT and GEE methods incorporate a machine learning (random forest) procedure using Landsat 8 imagery, and offer the most precision while requiring the most time and familiarity with GIS usage and satellite imagery processing. The WUDAPT method is performed principally using multiple GIS clients and image processing tools. The GEE method is somewhat quicker to perform, with work performed entirely on Google’s sites. The UA or GIS method is performed solely via a GIS client and is a conversion of pre-existing vector data to LCZ classes via scripting. This is the quickest method of the three; however, the reclassification of the vector data determines the accuracy of the LCZs produced. Finally, as an illustration of a practical use of LCZs and to further compare the results of the three methods, we map the distribution of the temperature according to the LCZs of each method, correlating to the land surface temperature (LST) from a Landsat 8 image pertaining to a heat wave episode that occurred in Oslo in 2018. These results show, in addition to a clear LCZ-LST correspondence, that the three methods produce accurate and similar results and are all viable options.</jats:p>
|
<ol>
<li><strong>Oslo</strong> (Oslo, Norway) – <a href='https://www.openstreetmap.org/relation/406091' target='_blank'>relation/406091</a>; type=<code>boundary/administrative</code>; importance=0.763</li><br/><small>Oslo, Norway</small>
<li><strong>Oslo</strong> (Oslo, Marshall County, Minnesota, United States) – <a href='https://www.openstreetmap.org/relation/137881' target='_blank'>relation/137881</a>; type=<code>boundary/administrative</code>; importance=0.458</li><br/><small>Oslo, Marshall County, Minnesota, United States</small>
<li><strong>Oslo</strong> (Oslo, Norway) – <a href='https://www.openstreetmap.org/relation/2775550' target='_blank'>relation/2775550</a>; type=<code>boundary/administrative</code>; importance=0.445</li><br/><small>Oslo, Norway</small>
</ol>
| null | null | null | null | null | null |
53bb9c793d68eb66d1386d2ee0475be6
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T10:49:26.229000
|
0ef7f402-45fe-4cd4-8441-f893fc082a9f
|
A proper initial curing is a very simple and inexpensive alternative to improve concrete cover quality and accordingly extend the service life of reinforced concrete structures exposed to aggressive species. A current study investigates the effect of wet curing duration on chloride penetration in plain and blended cement concretes which subjected to tidal exposure condition in south of **Iran** for 5 years. The results show that wet curing extension preserves concrete against high rate of chloride penetration at early ages and decreases the difference between initial and long-term diffusion coefficients due to improvement of concrete cover quality. But, as the length of exposure period to marine environment increased the effects of initial wet curing became less pronounced. Furthermore, a relationship is developed between wet curing time and diffusion coefficient at early ages and the effect of curing length on time-to-corrosion initiation of concrete is addressed.
|
<ol>
<li><strong>Iran</strong> (Iran) – <a href='https://www.openstreetmap.org/relation/304938' target='_blank'>relation/304938</a>; type=<code>boundary/administrative</code>; importance=0.870</li><br/><small>Iran</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
617660c304e221e16761ec0eb462def0
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
fe6174e6-c641-436d-a37c-dcaf0361335a
|
<jats:p>The main lever for the development and promotion of rural tourism in Greece has been, and continues to be, through specific EU programmes. Rural tourism in Greece began with a long delay compared to other European countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how European financial tools intended for rural tourism were implemented in Greece. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking **European Union** funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/727643279' target='_blank'>node/727643279</a>; type=<code>railway/station</code>; importance=0.296</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union (Street 143)</strong> (Khan Boeng Keng Kang, Sangkat Boeng Keng Kang Ti Bei, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1127998307' target='_blank'>way/1127998307</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Keng Kang Ti Bei, Khan Boeng Keng Kang, Phnom Penh, 120104, Cambodia</small>
<li><strong>European Union (Street 143)</strong> (Khan Prampi Makara, Sangkat Boeng Prolit, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1160247609' target='_blank'>way/1160247609</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Prolit, Khan Prampi Makara, Phnom Penh, 120308, Cambodia</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/1326060860' target='_blank'>way/1326060860</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/978681788' target='_blank'>way/978681788</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Enomenis Europis</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/728119074' target='_blank'>way/728119074</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Enomenis Europis, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/way/1147862293' target='_blank'>way/1147862293</a>; type=<code>railway/platform</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264162' target='_blank'>node/10680264162</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., ж.к. Лозенец, Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264161' target='_blank'>node/10680264161</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>Delegation of the European Union</strong> (Abidjan, Abidjan, Côte d'Ivoire) – <a href='https://www.openstreetmap.org/node/6370771490' target='_blank'>node/6370771490</a>; type=<code>office/diplomatic</code>; importance=0.000</li><br/><small>Delegation of the European Union, Avenue Terrasson de Fougères, Abidjan, Le Plateau, Abidjan, Côte d'Ivoire</small>
</ol>
| null | null | null | null | null | null |
7b86df49ae2cb2d18fc82a6259721b6d
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
f2788bdb-5abb-4b10-b386-cb098149582b
|
<jats:p>The main lever for the development and promotion of rural tourism in Greece has been, and continues to be, through specific EU programmes. Rural tourism in Greece began with a long delay compared to other European countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how European financial tools intended for rural tourism were implemented in **Greece**. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking European funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>Greece</strong> (Greece) – <a href='https://www.openstreetmap.org/relation/192307' target='_blank'>relation/192307</a>; type=<code>boundary/administrative</code>; importance=0.852</li><br/><small>Greece</small>
</ol>
| null | null | null | null | null | null |
8d8efd9b3f5d64b40c5eab541f7de64d
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
226888f2-51cb-4b40-b60a-7a11fb1c9290
|
<jats:p>The main lever for the development and promotion of rural tourism in Greece has been, and continues to be, through specific EU programmes. Rural tourism in Greece began with a long delay compared to other European countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how **European Union** financial tools intended for rural tourism were implemented in Greece. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking European funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/727643279' target='_blank'>node/727643279</a>; type=<code>railway/station</code>; importance=0.296</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union (Street 143)</strong> (Khan Boeng Keng Kang, Sangkat Boeng Keng Kang Ti Bei, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1127998307' target='_blank'>way/1127998307</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Keng Kang Ti Bei, Khan Boeng Keng Kang, Phnom Penh, 120104, Cambodia</small>
<li><strong>European Union (Street 143)</strong> (Khan Prampi Makara, Sangkat Boeng Prolit, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1160247609' target='_blank'>way/1160247609</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Prolit, Khan Prampi Makara, Phnom Penh, 120308, Cambodia</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/1326060860' target='_blank'>way/1326060860</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/978681788' target='_blank'>way/978681788</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Enomenis Europis</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/728119074' target='_blank'>way/728119074</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Enomenis Europis, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/way/1147862293' target='_blank'>way/1147862293</a>; type=<code>railway/platform</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264162' target='_blank'>node/10680264162</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., ж.к. Лозенец, Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264161' target='_blank'>node/10680264161</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>Delegation of the European Union</strong> (Abidjan, Abidjan, Côte d'Ivoire) – <a href='https://www.openstreetmap.org/node/6370771490' target='_blank'>node/6370771490</a>; type=<code>office/diplomatic</code>; importance=0.000</li><br/><small>Delegation of the European Union, Avenue Terrasson de Fougères, Abidjan, Le Plateau, Abidjan, Côte d'Ivoire</small>
</ol>
| null | null | null | null | null | null |
23b84ae704f42585459f80ca6062b96c
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T10:29:34.834000
|
9d768513-7846-4322-9a5e-acd49d63c917
|
<jats:p>The main lever for the development and promotion of rural tourism in Greece has been, and continues to be, through specific EU programmes. Rural tourism in Greece began with a long delay compared to other **European Union** countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how European financial tools intended for rural tourism were implemented in Greece. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking European funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/727643279' target='_blank'>node/727643279</a>; type=<code>railway/station</code>; importance=0.296</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union (Street 143)</strong> (Khan Boeng Keng Kang, Sangkat Boeng Keng Kang Ti Bei, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1127998307' target='_blank'>way/1127998307</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Keng Kang Ti Bei, Khan Boeng Keng Kang, Phnom Penh, 120104, Cambodia</small>
<li><strong>European Union (Street 143)</strong> (Khan Prampi Makara, Sangkat Boeng Prolit, Phnom Penh, Cambodia) – <a href='https://www.openstreetmap.org/way/1160247609' target='_blank'>way/1160247609</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>European Union (Street 143), Sangkat Boeng Prolit, Khan Prampi Makara, Phnom Penh, 120308, Cambodia</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/1326060860' target='_blank'>way/1326060860</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Ενωμένης Ευρώπης</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/978681788' target='_blank'>way/978681788</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Ενωμένης Ευρώπης, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>Enomenis Europis</strong> (Kolymbia, Rhodes Regional Unit, Aegean, Greece) – <a href='https://www.openstreetmap.org/way/728119074' target='_blank'>way/728119074</a>; type=<code>highway/unclassified</code>; importance=0.053</li><br/><small>Enomenis Europis, Kolymbia, Municipality of Rhodes, Rhodes Regional Unit, South Aegean, Aegean, 851 02, Greece</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/way/1147862293' target='_blank'>way/1147862293</a>; type=<code>railway/platform</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264162' target='_blank'>node/10680264162</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., ж.к. Лозенец, Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>European Union</strong> (Sofia, Triadica, Sofia-City, Bulgaria) – <a href='https://www.openstreetmap.org/node/10680264161' target='_blank'>node/10680264161</a>; type=<code>railway/stop</code>; importance=0.000</li><br/><small>European Union, Cherni vrah Blvd., Sofia, Triadica, Sofia City, Sofia-City, 1421, Bulgaria</small>
<li><strong>Delegation of the European Union</strong> (Abidjan, Abidjan, Côte d'Ivoire) – <a href='https://www.openstreetmap.org/node/6370771490' target='_blank'>node/6370771490</a>; type=<code>office/diplomatic</code>; importance=0.000</li><br/><small>Delegation of the European Union, Avenue Terrasson de Fougères, Abidjan, Le Plateau, Abidjan, Côte d'Ivoire</small>
</ol>
|
[
0
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
da781a191beb0390b36cc7a263d7c1ce
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
89d5bff6-a905-4f3f-b475-fa1e5f79427b
|
<jats:p>The main lever for the development and promotion of rural tourism in Greece has been, and continues to be, through specific EU programmes. Rural tourism in **Greece** began with a long delay compared to other European countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how European financial tools intended for rural tourism were implemented in Greece. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking European funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>Greece</strong> (Greece) – <a href='https://www.openstreetmap.org/relation/192307' target='_blank'>relation/192307</a>; type=<code>boundary/administrative</code>; importance=0.852</li><br/><small>Greece</small>
</ol>
| null | null | null | null | null | null |
2c0021115cd2baf5f3658d7c29cbb97b
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
bfdc9026-3e2a-4e1a-8386-29e4294207c1
|
<jats:p>The main lever for the development and promotion of rural tourism in **Greece** has been, and continues to be, through specific EU programmes. Rural tourism in Greece began with a long delay compared to other European countries. The development philosophy was (and still is) to increase rural incomes as a complement to agricultural and livestock production, not by degrading them. This theoretical paper presents previous research studies in rural tourism and EU development programmes and it describes how European financial tools intended for rural tourism were implemented in Greece. Furthermore, it describes the challenges faced by rural people involved in the development of rural tourism in seeking European funding through a multi-layer approach on the obstacles in the EU funds absorption capacity. The analysis shows that the legislation, design of the programmes, processes from local governments, bureaucracy and malpractices create constraints in the absorption of EU funds and the results in the rural tourism development are not the expected ones. It concludes that there is a need for reforms in the national institutional framework and structures along with a different philosophy in approaching the EU funding initiatives in rural areas.</jats:p>
|
<ol>
<li><strong>Greece</strong> (Greece) – <a href='https://www.openstreetmap.org/relation/192307' target='_blank'>relation/192307</a>; type=<code>boundary/administrative</code>; importance=0.852</li><br/><small>Greece</small>
</ol>
| null | null | null | null | null | null |
246f97be14651d245d8b837089ec4158
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
8fefcb8f-b7bc-4faf-9c1e-49f4db43f75b
|
<jats:p>Abstract. This paper presents the results of research into the post-earthquake displacements of the partially constructed road viaducts in Bolu, **Turkey** after the Izmit/Kocaeli, (Mw = 7.4), and Düzce (Mw = 7.1) earthquakes on 17 August and 12 November 1999, respectively. The investigations on the viaducts were carried out using both Geodetic and Finite Element Methods (FEM). Firstly, all the geodetic network stations selected for the project were checked because of the recent deformation in the area. Then, new control stations were placed between the piers of the viaducts. 28 object points were placed and measured on each pier to determine their displacements. In the second stage, the behaviours of the viaducts were modelled using the FEM, and the Düzce earthquake acceleration record was analysed to observe the response of the viaducts in a time history domain. The modelled displacement response of the viaducts was compared with the geodetic measurements in order to interpret the sensitivity of the design calculation of the engineering model. The pier displacements that were geodetically measured and calculated using FEM peak pier displacements showed an increase in the piers located closer to the surface rupture from the Izmit/Kocaeli and Düzce earthquakes. The agreement between the observed and modelled displacements decreases with the increase in the distance from the fault line. Since, near the fault trace the horizontal displacement field is discontinuous and large inelastic deformation is expected, the behaviour of the part of the structure located near the fault line cannot be easily reproduced by FEM simulations. This is because the applied model loads derived from the source acceleration spectra cannot be included in the localized finite deformation effects. In order to obtain an improved engineering analysis, it is necessary to utilise more parameters in the numerical analysis. </jats:p>
|
<ol>
<li><strong>Turkey</strong> (Turkey) – <a href='https://www.openstreetmap.org/relation/174737' target='_blank'>relation/174737</a>; type=<code>boundary/administrative</code>; importance=0.876</li><br/><small>Turkey</small>
</ol>
| null | null | null | null | null | null |
a344872ba47d56544d68887eee783b57
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
a13cfab3-e358-4465-b7e7-ca7aacd0f08b
|
<jats:p>Abstract. This paper presents the results of research into the post-earthquake displacements of the partially constructed road viaducts in **Bolu**, Turkey after the Izmit/Kocaeli, (Mw = 7.4), and Düzce (Mw = 7.1) earthquakes on 17 August and 12 November 1999, respectively. The investigations on the viaducts were carried out using both Geodetic and Finite Element Methods (FEM). Firstly, all the geodetic network stations selected for the project were checked because of the recent deformation in the area. Then, new control stations were placed between the piers of the viaducts. 28 object points were placed and measured on each pier to determine their displacements. In the second stage, the behaviours of the viaducts were modelled using the FEM, and the Düzce earthquake acceleration record was analysed to observe the response of the viaducts in a time history domain. The modelled displacement response of the viaducts was compared with the geodetic measurements in order to interpret the sensitivity of the design calculation of the engineering model. The pier displacements that were geodetically measured and calculated using FEM peak pier displacements showed an increase in the piers located closer to the surface rupture from the Izmit/Kocaeli and Düzce earthquakes. The agreement between the observed and modelled displacements decreases with the increase in the distance from the fault line. Since, near the fault trace the horizontal displacement field is discontinuous and large inelastic deformation is expected, the behaviour of the part of the structure located near the fault line cannot be easily reproduced by FEM simulations. This is because the applied model loads derived from the source acceleration spectra cannot be included in the localized finite deformation effects. In order to obtain an improved engineering analysis, it is necessary to utilise more parameters in the numerical analysis. </jats:p>
|
<ol>
<li><strong>Bolu</strong> (Bolu, Turkey) – <a href='https://www.openstreetmap.org/relation/223461' target='_blank'>relation/223461</a>; type=<code>boundary/administrative</code>; importance=0.580</li><br/><small>Bolu, Black Sea Region, Turkey</small>
<li><strong>Bolu</strong> (Bolu, Bolu, Turkey) – <a href='https://www.openstreetmap.org/relation/1795630' target='_blank'>relation/1795630</a>; type=<code>boundary/administrative</code>; importance=0.522</li><br/><small>Bolu, Black Sea Region, Turkey</small>
<li><strong>Yambol</strong> (Yambol, Yambol, Bulgaria) – <a href='https://www.openstreetmap.org/node/31058176' target='_blank'>node/31058176</a>; type=<code>place/city</code>; importance=0.540</li><br/><small>Yambol, 8600, Bulgaria</small>
<li><strong>Bolu Mahallesi</strong> (Kandıra, Bolu Mahallesi, Kocaeli, Turkey) – <a href='https://www.openstreetmap.org/relation/12919654' target='_blank'>relation/12919654</a>; type=<code>boundary/administrative</code>; importance=0.339</li><br/><small>Bolu Mahallesi, Kandıra, Kocaeli, Marmara Region, Turkey</small>
</ol>
| null | null | null | null | null | null |
a7008323767573408db880e93509e519
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
2a6e148a-6c6d-477f-b3b9-1d457efa2730
|
The various **France** public actions in support of biodiversity conservation have led to developing and rationalizing the production of knowledge on nature. Implementation of the "système d'information sur la nature et les paysages" (SINP) by the Ministry of Ecology aims to standardize data recording. Its purpose is to remedy the lacks in data recording and make data retrieval easier. Our paper focuses on the consequences of SINP implementation for NGOs who are the main data collecting structures. Our analysis is based on a socio-anthropological approach and considers the production of data to be linked to a general process of standardization on the one hand and as result of NGO activity on the other. We question whether the two logics are compatible.
|
<ol>
<li><strong>France</strong> (France) – <a href='https://www.openstreetmap.org/relation/2202162' target='_blank'>relation/2202162</a>; type=<code>boundary/administrative</code>; importance=0.969</li><br/><small>France</small>
</ol>
| null | null | null | null | null | null |
d2f4e790829a5751e78200e7dd053d01
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T12:07:55.716000
|
16e1dc90-d1ff-4d75-a071-c3c1a2d5caed
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, Snøhvit, Alberta, Boundary Dam, Cranfield, and **Ketzin**. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Ketzin/Havel</strong> (Ketzin/Havel, Havelland, Brandenburg, Germany) – <a href='https://www.openstreetmap.org/relation/1240588' target='_blank'>relation/1240588</a>; type=<code>boundary/administrative</code>; importance=0.433</li><br/><small>Ketzin/Havel, Havelland, Brandenburg, 14669, Germany</small>
<li><strong>Ketzin</strong> (Ketzin, Havelland, Brandenburg, Germany) – <a href='https://www.openstreetmap.org/relation/12598141' target='_blank'>relation/12598141</a>; type=<code>boundary/administrative</code>; importance=0.433</li><br/><small>Ketzin, Ketzin/Havel, Havelland, Brandenburg, 14669, Germany</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
8b90f1ef2edebccc6057b6830fe5b545
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
959a123f-efaa-45ec-96ba-1b47263a2b9b
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, Snøhvit, Alberta, Boundary Dam, **Cranfield**, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Cranfield</strong> (Cranfield, Central Bedfordshire, England, United Kingdom) – <a href='https://www.openstreetmap.org/relation/4067302' target='_blank'>relation/4067302</a>; type=<code>boundary/administrative</code>; importance=0.458</li><br/><small>Cranfield, Central Bedfordshire, England, United Kingdom</small>
<li><strong>Cranfield</strong> (Cookstown, County Tyrone, Northern Ireland, United Kingdom) – <a href='https://www.openstreetmap.org/relation/5441370' target='_blank'>relation/5441370</a>; type=<code>boundary/administrative</code>; importance=0.133</li><br/><small>Cranfield, Cookstown, County Tyrone, Northern Ireland, United Kingdom</small>
<li><strong>Cranfield</strong> (Northern Ireland, United Kingdom) – <a href='https://www.openstreetmap.org/relation/4545507' target='_blank'>relation/4545507</a>; type=<code>boundary/administrative</code>; importance=0.133</li><br/><small>Cranfield, Newry, Mourne and Down District Council, Northern Ireland, United Kingdom</small>
<li><strong>Cranfield</strong> (Northern Ireland, United Kingdom) – <a href='https://www.openstreetmap.org/relation/4203179' target='_blank'>relation/4203179</a>; type=<code>boundary/administrative</code>; importance=0.133</li><br/><small>Cranfield, Northern Ireland, United Kingdom</small>
<li><strong>Cranfield</strong> (Adams County, Mississippi, United States) – <a href='https://www.openstreetmap.org/node/151727241' target='_blank'>node/151727241</a>; type=<code>place/hamlet</code>; importance=0.133</li><br/><small>Cranfield, Adams County, Mississippi, United States</small>
</ol>
| null | null | null | null | null | null |
a018d5c91db4beb4c3f839f06be4871e
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
102981cf-05da-445c-9e81-fa10798771b9
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, Snøhvit, Alberta, **Boundary Dam**, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Boundary Dam</strong> (Pend Oreille County, Washington, United States) – <a href='https://www.openstreetmap.org/way/146371654' target='_blank'>way/146371654</a>; type=<code>waterway/dam</code>; importance=0.133</li><br/><small>Boundary Dam, Pend Oreille County, Washington, United States</small>
<li><strong>Boundary Dam</strong> (Pastoral Unincorporated Area, South Australia, Australia) – <a href='https://www.openstreetmap.org/way/329599478' target='_blank'>way/329599478</a>; type=<code>natural/water</code>; importance=0.107</li><br/><small>Boundary Dam, Kolendo, Pastoral Unincorporated Area, South Australia, 5717, Australia</small>
<li><strong>Boundary Dam</strong> (Pastoral Unincorporated Area, South Australia, Australia) – <a href='https://www.openstreetmap.org/way/329599423' target='_blank'>way/329599423</a>; type=<code>natural/water</code>; importance=0.107</li><br/><small>Boundary Dam, Wartaka, Pastoral Unincorporated Area, South Australia, 5715, Australia</small>
<li><strong>Boundary Dam</strong> (Pastoral Unincorporated Area, South Australia, Australia) – <a href='https://www.openstreetmap.org/way/329599140' target='_blank'>way/329599140</a>; type=<code>natural/water</code>; importance=0.107</li><br/><small>Boundary Dam, Cultana, Pastoral Unincorporated Area, South Australia, 5700, Australia</small>
<li><strong>Boundary Dam</strong> (Pastoral Unincorporated Area, South Australia, Australia) – <a href='https://www.openstreetmap.org/way/329693217' target='_blank'>way/329693217</a>; type=<code>natural/water</code>; importance=0.107</li><br/><small>Boundary Dam, Pastoral Unincorporated Area, South Australia, Australia</small>
<li><strong>Boundary Dam</strong> (Madibeng Local Municipality, Haartbeesfontein, Bojanala Platinum District Municipality, North West, South Africa) – <a href='https://www.openstreetmap.org/node/12889268245' target='_blank'>node/12889268245</a>; type=<code>tourism/viewpoint</code>; importance=0.000</li><br/><small>Boundary Dam, D1344, Madibeng Ward 14, Haartbeesfontein, Madibeng Local Municipality, Bojanala Platinum District Municipality, North West, South Africa</small>
</ol>
| null | null | null | null | null | null |
bc73c15a82c4d2aaf883567415cf7f03
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T11:40:50.330000
|
a70ec368-4a13-423a-8ccf-2f9979745402
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, Snøhvit, **Alberta**, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Alberta</strong> (Alberta, Canada) – <a href='https://www.openstreetmap.org/relation/391186' target='_blank'>relation/391186</a>; type=<code>boundary/administrative</code>; importance=0.710</li><br/><small>Alberta, Canada</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
c0970e2494aa60e4135b9417481059b4
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
ec9e8f54-ba89-4593-9cdc-d74b941ca3e6
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, Otway Basin, **Snøhvit**, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Snøhvit</strong> (Innlandet, Norway) – <a href='https://www.openstreetmap.org/node/4659637975' target='_blank'>node/4659637975</a>; type=<code>place/neighbourhood</code>; importance=0.133</li><br/><small>Snøhvit, Fageråsen, Trysil, Innlandet, Norway</small>
<li><strong>Snøhvit</strong> (Telemark, Norway) – <a href='https://www.openstreetmap.org/way/766763699' target='_blank'>way/766763699</a>; type=<code>building/cabin</code>; importance=0.000</li><br/><small>Snøhvit, Østerlivegen, Innleggen, Midt-Telemark, Telemark, 3804, Norway</small>
</ol>
| null | null | null | null | null | null |
5b048540c0c73dae29095874a0ecb24d
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
686d027a-4177-4a5b-93b1-0fe491ae1f75
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, In Salah, **Otway Basin**, Snøhvit, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Water Basin Road</strong> (Victoria, Australia) – <a href='https://www.openstreetmap.org/way/594751683' target='_blank'>way/594751683</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Water Basin Road, Elliminyt, Shire of Colac Otway, Victoria, 3250, Australia</small>
</ol>
| null | null | null | null | null | null |
692d417c4b4cab42216680a9e6570249
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T11:23:57.836000
|
d044508a-476a-4a65-9c74-82ab7e1cc04a
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, Weyburn, **In Salah**, Otway Basin, Snøhvit, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>In Salah</strong> (In Salah, d'In Salah District, In Salah, Algeria) – <a href='https://www.openstreetmap.org/relation/4175373' target='_blank'>relation/4175373</a>; type=<code>boundary/administrative</code>; importance=0.420</li><br/><small>In Salah, d'In Salah District, In Salah, Algeria</small>
<li><strong>In Salah</strong> (In Salah, Algeria) – <a href='https://www.openstreetmap.org/relation/6824900' target='_blank'>relation/6824900</a>; type=<code>boundary/administrative</code>; importance=0.416</li><br/><small>In Salah, Algeria</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
52d09e830d361f797dcfc847283bc307
|
completed
| 2025-06-24T11:53:54.561000
| 2025-07-24T10:35:38.251000
|
57ec8cc0-c1ed-4a4c-9124-4a26714fdef5
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as Sleipner, **Weyburn**, In Salah, Otway Basin, Snøhvit, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Weyburn</strong> (Weyburn, Saskatchewan, Canada) – <a href='https://www.openstreetmap.org/relation/9628650' target='_blank'>relation/9628650</a>; type=<code>boundary/administrative</code>; importance=0.490</li><br/><small>Weyburn, Saskatchewan, Canada</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
9bc2aef7753a81433800f5fa4c273070
|
pending
| 2025-06-24T11:53:54.561000
| 2025-06-24T11:53:54.561000
|
72e46546-c0a0-4a6f-a43e-d24b99d6ee33
|
<jats:title>Abstract</jats:title><jats:p>Carbon dioxide has gradually found widespread usage in the field of science and engineering while various efforts have focused on ways to combat the menace resulting from the release of this compound in the atmosphere. A major approach to combating this release is by storage in various geological formations ranging from depleted reservoir types such as saline aquifers to other carbon sinks. In this research study, we reviewed the experimental, modeling, and field studies related to the underground storage of CO<jats:sub>2</jats:sub>. A considerable amount of research has been conducted in simulating and modeling CO<jats:sub>2</jats:sub> sequestration in the subsurface. This review highlights some of the latest contributions. Additionally, the impact of CO<jats:sub>2</jats:sub> sequestration on its surroundings due to chemical reactions, adsorption, capillarity, hysteresis, and wettability were reviewed. Some major challenges associated with CO<jats:sub>2</jats:sub> injection have also been highlighted. Finally, this work presents a brief history of selected field scale projects such as **Sleipner**, Weyburn, In Salah, Otway Basin, Snøhvit, Alberta, Boundary Dam, Cranfield, and Ketzin. Thus, this study provides a guide of the CO<jats:sub>2</jats:sub> storage process from the perspectives of experimental, modelling, and existing field studies.</jats:p>
|
<ol>
<li><strong>Sleipner</strong> (Stockholm, Stockholm County, Sweden) – <a href='https://www.openstreetmap.org/node/3025363504' target='_blank'>node/3025363504</a>; type=<code>place/city_block</code>; importance=0.067</li><br/><small>Sleipner, Hagastaden, Vasastaden, Norra innerstadens stadsdelsområde, Stockholm, Stockholm Municipality, Stockholm County, 113 23, Sweden</small>
<li><strong>Sleipner</strong> (Kalmar, Kalmar County, Sweden) – <a href='https://www.openstreetmap.org/way/143487894' target='_blank'>way/143487894</a>; type=<code>place/city_block</code>; importance=0.067</li><br/><small>Sleipner, Berga, Kalmar, Kalmar kommun, Kalmar County, Sweden</small>
<li><strong>Sleipner</strong> (Frederikssund, Capital Region of Denmark, Denmark) – <a href='https://www.openstreetmap.org/node/2957401141' target='_blank'>node/2957401141</a>; type=<code>amenity/shelter</code>; importance=0.000</li><br/><small>Sleipner, Bonderupvej, Guldsten, Frederikssund, Frederikssund Municipality, Capital Region of Denmark, 3600, Denmark</small>
<li><strong>Fjellheisen</strong> (Uvdal alpinsenter, Buskerud, Norway) – <a href='https://www.openstreetmap.org/way/262076802' target='_blank'>way/262076802</a>; type=<code>aerialway/drag_lift</code>; importance=0.000</li><br/><small>Fjellheisen, Viddevegen, Uvdal alpinsenter, Nore og Uvdal, Buskerud, 3632, Norway</small>
<li><strong>Sleipner Glacier</strong> (Greenland) – <a href='https://www.openstreetmap.org/relation/10783105' target='_blank'>relation/10783105</a>; type=<code>natural/glacier</code>; importance=0.160</li><br/><small>Sleipner Glacier, Greenland</small>
<li><strong>Mount Sleipner</strong> (Queensland, Australia) – <a href='https://www.openstreetmap.org/node/2844344370' target='_blank'>node/2844344370</a>; type=<code>natural/peak</code>; importance=0.160</li><br/><small>Mount Sleipner, Livingstone Shire, Queensland, Australia</small>
</ol>
| null | null | null | null | null | null |
ca16fb8657a54289c3b03abeddd6473e
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
c249a11c-dfdd-4d27-9317-a3fad9ace874
|
<jats:p>Abstract. The Paris Agreement of December 2015 stated a goal to pursue efforts to keep global temperatures below 1.5 °C above preindustrial levels and well below 2 °C. The IPCC was charged with assessing climate impacts at these temperature levels, but fully coupled equilibrium climate simulations do not currently exist to inform such assessments. In this study, we produce a set of scenarios using a simple model designed to achieve long-term 1.5 and 2 °C temperatures in a stable climate. These scenarios are then used to produce century-scale ensemble simulations using the Community Earth System Model, providing impact-relevant long-term climate data for stabilization pathways at 1.5 and 2 °C levels and an overshoot 1.5 °C case, which are realized (for the 21st century) in the coupled model and are freely available to the community. Here we describe the design of the simulations and a brief overview of their impact-relevant climate response. Exceedance of historical record temperature occurs with 60 % greater frequency in the 2 °C climate than in a 1.5 °C climate aggregated globally, and with twice the frequency in equatorial and arid regions. Extreme precipitation intensity is statistically significantly higher in a 2.0 °C climate than a 1.5 °C climate in some specific regions (but not all). The model exhibits large differences in the **Arctic**, which is ice-free with a frequency of 1 in 3 years in the 2.0 °C scenario, and 1 in 40 years in the 1.5 °C scenario. Significance of impact differences with respect to multi-model variability is not assessed. </jats:p>
|
<ol>
<li><strong>Arctic Ocean</strong> – <a href='https://www.openstreetmap.org/node/305639710' target='_blank'>node/305639710</a>; type=<code>place/ocean</code>; importance=0.668</li><br/><small>Arctic Ocean</small>
<li><strong>Arctic</strong> (West Warwick, Kent County, Rhode Island, United States) – <a href='https://www.openstreetmap.org/node/158876953' target='_blank'>node/158876953</a>; type=<code>place/neighbourhood</code>; importance=0.133</li><br/><small>Arctic, West Warwick, Kent County, Rhode Island, 02893, United States</small>
<li><strong>Arctic</strong> (Town of Masonville, Delaware County, New York, United States) – <a href='https://www.openstreetmap.org/node/158424682' target='_blank'>node/158424682</a>; type=<code>place/hamlet</code>; importance=0.133</li><br/><small>Arctic, Town of Masonville, Delaware County, New York, United States</small>
<li><strong>Arctic</strong> (Ulmi, Dâmbovița, Romania) – <a href='https://www.openstreetmap.org/way/1071378466' target='_blank'>way/1071378466</a>; type=<code>landuse/industrial</code>; importance=0.107</li><br/><small>Arctic, Ulmi, Dâmbovița, Romania</small>
<li><strong>Artic</strong> (Dubai, United Arab Emirates) – <a href='https://www.openstreetmap.org/way/202033666' target='_blank'>way/202033666</a>; type=<code>waterway/canal</code>; importance=0.133</li><br/><small>Artic, Dubai, United Arab Emirates</small>
<li><strong>Arctic</strong> (Matanuska-Susitna Borough, Alaska, United States) – <a href='https://www.openstreetmap.org/way/8986216' target='_blank'>way/8986216</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Arctic, Matanuska-Susitna Borough, Alaska, United States</small>
<li><strong>Arctic</strong> (Preston County, West Virginia, United States) – <a href='https://www.openstreetmap.org/way/15632417' target='_blank'>way/15632417</a>; type=<code>highway/residential</code>; importance=0.053</li><br/><small>Arctic, Preston County, West Virginia, United States</small>
<li><strong>Canadian Arctic Archipelago</strong> (Qikiqtaaluk Region, Nunavut, Canada) – <a href='https://www.openstreetmap.org/node/5282150821' target='_blank'>node/5282150821</a>; type=<code>place/archipelago</code>; importance=0.532</li><br/><small>Canadian Arctic Archipelago, Qikiqtaaluk Region, Nunavut, Canada</small>
<li><strong>Northwest Arctic Borough</strong> (Northwest Arctic Borough, Alaska, United States) – <a href='https://www.openstreetmap.org/relation/2605297' target='_blank'>relation/2605297</a>; type=<code>boundary/administrative</code>; importance=0.505</li><br/><small>Northwest Arctic Borough, Alaska, United States</small>
</ol>
| null | null | null | null | null | null |
4eb0afce4db50af07787e5012b3bfdad
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
4f989f2e-9bc6-407c-9814-6a73c3d9a881
|
<jats:p>One of the primary global objectives is to decrease building energy consumption to promote energy efficiency and environmental sustainability. The large-scale food retail trade sector accounts for over 15% of total primary energy consumption in **Europe**, posing a significant challenge to the transition towards green energy. This study proposes a simple method for energy efficiency, environmental sustainability, and cost-saving assessment and improvement in large-scale food retail trade buildings. It aims to analyze the energy and environmental performance of building–plant systems, establishing an interactive network to assess intervention potential for the energy transition. The investigation focuses on the proper selection and analysis of the benefits of retrofit solution implementation, emphasizing potential energy savings in current and future climate change scenarios. Dynamic simulation with the Building Energy Model (BEM) was used to evaluate the impacts of building–plant system retrofit solutions, such as high thermal insulation, photovoltaic (PV) panels, Light Emitting Diode (LED) installation, waste heat recovery, and improvement in refrigeration units. The results show a reduction in annual energy consumption for the PV panel installation by up to 29% and lighting systems with high-quality LED to 60%. Additionally, CO2 emissions can be decreased by up to 41% by combining these two strategies.</jats:p>
|
<ol>
<li><strong>Europe</strong> – <a href='https://www.openstreetmap.org/node/25871341' target='_blank'>node/25871341</a>; type=<code>place/continent</code>; importance=0.878</li><br/><small>Europe</small>
</ol>
| null | null | null | null | null | null |
1dfa312111c14358f1c97ff5ce06cc2b
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
5b9da588-b70d-4e05-8dc1-63d420efa389
|
<jats:p>The foundation pit of a suspension bridge project in the **Three Gorges Reservoir** area is investigated in this paper. The pit is located under an unstable rock mass and landslide body; its base lithology is mudstone. The bridge foundation pit project mainly adopts blasting excavation to accelerate construction progress. However, as a hazardous technique to engineering safety, the explosion vibration easily causes deterioration of the surrounding strata, thereby inducing slope instability and rock mass collapse. Besides, three major challenges should be considered: complex terrain conditions, difficulties in the blasting excavation of anchors, and the extremely high risk of construction. Therefore, comprehensive risk control measures using the methods of hierarchical excavation and minimum charge blasting are put forward. After the measures were verified to be feasible through finite element simulation, it was successfully applied to actual construction. In addition, this paper proposes using fiber concrete to reinforce slope retaining walls, and simulates the reinforced effect based on the research above. The results indicate that the risk control scheme is reasonable, which not only ensures the construction process but also guarantees the stability of the slope and unstable rock body. At the same time, the slope is reinforced with fiber concrete, which effectively decreases the protection wall thickness. Finally, the article can provide a valuable reference for similar engineering projects around the world.</jats:p>
|
<ol>
<li><strong>Three Gorges Reservoir</strong> (Zhong County, Chongqing, China) – <a href='https://www.openstreetmap.org/relation/1964696' target='_blank'>relation/1964696</a>; type=<code>water/reservoir</code>; importance=0.327</li><br/><small>Three Gorges Reservoir, Zhong County, Enshi, Chongqing, China</small>
</ol>
| null | null | null | null | null | null |
86db63d3296fcfc3cd606d50f1c85a21
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
f79748c1-78e3-4609-a841-aae9fbd35748
|
<jats:title>Abstract</jats:title><jats:p>The underwater Hunga Tonga-Hunga Ha-apai volcano erupted in the early hours of 15th January 2022, and injected volcanic gases and aerosols to over 50 km altitude. Here we synthesise satellite, ground-based, in situ and radiosonde observations of the eruption to investigate the strength of the stratospheric aerosol and water vapour perturbations in the initial weeks after the eruption and we quantify the net radiative impact across the two species using offline radiative transfer modelling. We find that the **Hunga Tonga - Hunga Ha - apai** eruption produced the largest global perturbation of stratospheric aerosols since the Pinatubo eruption in 1991 and the largest perturbation of stratospheric water vapour observed in the satellite era. Immediately after the eruption, water vapour radiative cooling dominated the local stratospheric heating/cooling rates, while at the top-of-the-atmosphere and surface, volcanic aerosol cooling dominated the radiative forcing. However, after two weeks, due to dispersion/dilution, water vapour heating started to dominate the top-of-the-atmosphere radiative forcing, leading to a net warming of the climate system.</jats:p>
|
<ol>
<li><strong>Hunga Tonga-Hunga Ha’apai</strong> (Haʻapai, Tonga) – <a href='https://www.openstreetmap.org/node/3323372738' target='_blank'>node/3323372738</a>; type=<code>natural/volcano</code>; importance=0.368</li><br/><small>Hunga Tonga-Hunga Ha’apai, Haʻapai, Tonga</small>
</ol>
| null | null | null | null | null | null |
1ff62c36bad467119e2ccd13a0d6f960
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
51e672dd-015a-4664-9ee8-a3a146990b0b
|
<jats:title>Abstract</jats:title><jats:p>The underwater **Hunga Tonga - Hunga Ha - apai vol**cano erupted in the early hours of 15th January 2022, and injected volcanic gases and aerosols to over 50 km altitude. Here we synthesise satellite, ground-based, in situ and radiosonde observations of the eruption to investigate the strength of the stratospheric aerosol and water vapour perturbations in the initial weeks after the eruption and we quantify the net radiative impact across the two species using offline radiative transfer modelling. We find that the Hunga Tonga-Hunga Ha-apai eruption produced the largest global perturbation of stratospheric aerosols since the Pinatubo eruption in 1991 and the largest perturbation of stratospheric water vapour observed in the satellite era. Immediately after the eruption, water vapour radiative cooling dominated the local stratospheric heating/cooling rates, while at the top-of-the-atmosphere and surface, volcanic aerosol cooling dominated the radiative forcing. However, after two weeks, due to dispersion/dilution, water vapour heating started to dominate the top-of-the-atmosphere radiative forcing, leading to a net warming of the climate system.</jats:p>
|
<p>No candidates available</p>
| null | null | null | null | null | null |
03fe046b9a53c0d9cb1695ec0e7781c9
|
completed
| 2025-06-24T11:53:55.368000
| 2025-07-24T11:22:51.458000
|
ff4bebfd-1e06-415e-9819-d8200a71bd0a
|
<jats:p>Tight sandstone oil and gas reservoirs are widely distributed, rich in resources, with a bright prospect for exploration and development in China. Due to multiple evolutions of the structure and sedimentary system, the gas–water distribution laws are complicated in tight sandstone gas reservoirs in the northern **Ordos** area. It is difficult to identify gas and water layers in the study area. In addition, in the development and production, various factors, such as the failure of the instrument, the difference in construction parameters (injected sand volume, flowback rate), poor test results, and multi-layer joint testing lead to unreliable gas test results. Then, the inaccurate logging responses will be screened by unreliable gas test results for different types of fluids. It is hard to make high-precision fluid logging identification charts or models. Therefore, this article combines gas logging, well logging, testing and other data to research the test and logging data quality classification. Firstly, we select reliable standard samples through the initial gas test results. Secondly, we analyze the four main factors which affect the inaccuracy of gas test results. Thirdly, according to these factors, the flowback rate and the sand volume are determined as the main parameters. Then, we establish a recognition chart of injected sand volume/gas–water ratio. Finally, we proposed an evaluation method for testing quality classification. It provides a test basis for the subsequent identification of gas and water through the second logging interpretation. It also provides a theoretical basis for the exploration and evaluation of tight oil and gas reservoirs.</jats:p>
|
<ol>
<li><strong>Ordos City</strong> (Inner Mongolia, China) – <a href='https://www.openstreetmap.org/relation/2752781' target='_blank'>relation/2752781</a>; type=<code>boundary/administrative</code>; importance=0.547</li><br/><small>Ordos City, Inner Mongolia, China</small>
<li><strong>Ordos</strong> (Ordos, Inner Mongolia, China) – <a href='https://www.openstreetmap.org/node/5073683362' target='_blank'>node/5073683362</a>; type=<code>place/city</code>; importance=0.547</li><br/><small>Ordos, Kangbashi District, Ordos City, Inner Mongolia, 017010, China</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
16843218c4f6716ca78b33c294a88051
|
completed
| 2025-06-24T11:53:55.368000
| 2025-07-24T10:30:59.654000
|
10d0613d-ccd9-4eff-898b-64c5559cd08b
|
<jats:p>Tight sandstone oil and gas reservoirs are widely distributed, rich in resources, with a bright prospect for exploration and development in **China.** Due to multiple evolutions of the structure and sedimentary system, the gas–water distribution laws are complicated in tight sandstone gas reservoirs in the northern Ordos area. It is difficult to identify gas and water layers in the study area. In addition, in the development and production, various factors, such as the failure of the instrument, the difference in construction parameters (injected sand volume, flowback rate), poor test results, and multi-layer joint testing lead to unreliable gas test results. Then, the inaccurate logging responses will be screened by unreliable gas test results for different types of fluids. It is hard to make high-precision fluid logging identification charts or models. Therefore, this article combines gas logging, well logging, testing and other data to research the test and logging data quality classification. Firstly, we select reliable standard samples through the initial gas test results. Secondly, we analyze the four main factors which affect the inaccuracy of gas test results. Thirdly, according to these factors, the flowback rate and the sand volume are determined as the main parameters. Then, we establish a recognition chart of injected sand volume/gas–water ratio. Finally, we proposed an evaluation method for testing quality classification. It provides a test basis for the subsequent identification of gas and water through the second logging interpretation. It also provides a theoretical basis for the exploration and evaluation of tight oil and gas reservoirs.</jats:p>
|
<ol>
<li><strong>China</strong> (China) – <a href='https://www.openstreetmap.org/relation/270056' target='_blank'>relation/270056</a>; type=<code>boundary/administrative</code>; importance=0.931</li><br/><small>China</small>
</ol>
|
[
1
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
[
null
] |
[
"5c339fa1-ee1c-46b0-99c7-a2b37711af08"
] |
[
"submitted"
] |
564e24753b8c2c7b37b7f637044443bf
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
a1fff974-4077-45ea-ad85-299b1620e728
|
<jats:p>This paper presents the results of a calculation code approach providing a solution to the point kinetics problem for the IVG.1M research reactor of the National Nuclear Center of the Republic **of Kazakhstan** and allowing the simulation of dynamic processes going on during reactor start-ups, including changes in the thermal state of all its elements, reactor regulator displacement, accumulation of absorbers in the fuel, and the beryllium reflector. A mathematical description of the IVG.1M point kinetics model is presented, which provides a calculation of the reactor neutron parameters, taking into account the dependence of reactivity effects on the temperature, changes in the isotopic composition of materials, and thermal expansion of core structural elements. An array of data values was formed of reactivity added by separate elements of the core when changing their thermal state and other reactor parameters, as well as an array of data with the parameters of heat exchange of coolant-based reactor structural elements. These are used in the process of solving the point kinetics problem to directly replace formal parameters, eliminating the need to calculate the values of these parameters at each calculation step. Preliminary calculations to form an array of values of reactivity effects was applied to the reactor by separate structural elements when their temperature changes were performed using the IVG.1M precision reactor calculation model. The model was validated by the reactor parameters in the critical state. Preliminary calculations to form an array of data with the parameters of heat exchange of coolant-based reactor structural elements were performed in ANSYS Fluent software using the calculation model that describes the IVG.1M reactor fuel element in detail. Validation of the developed calculation code based on the results of two start-ups of the IVG.1M reactor was performed and its applicability for the analysis of transient and emergency modes of reactor operation and evaluation of its safe operation limits was confirmed.</jats:p>
|
<ol>
<li><strong>Kazakhstan</strong> (Kazakhstan) – <a href='https://www.openstreetmap.org/relation/214665' target='_blank'>relation/214665</a>; type=<code>boundary/administrative</code>; importance=0.817</li><br/><small>Kazakhstan</small>
</ol>
| null | null | null | null | null | null |
1fd3a5de25161a221af4ed9016d45cdb
|
pending
| 2025-06-24T11:53:55.368000
| 2025-06-24T11:53:55.368000
|
29e098df-bbe8-462a-8945-750009154e40
|
<jats:p>This paper is concerned with the protection of wind energy systems against the direct effects of lightning. As wind power generation undergoes rapid growth, lightning damages involving wind turbines have come to be regarded as a serious problem. Nevertheless, very few studies exist yet in **Portugal** regarding lightning protection of wind energy systems using numerical codes. A new case study is presented in this paper, based on a wind turbine with an interconnecting transformer, for the analysis of transient phenomena due to a direct lightning strike to the blade. Comprehensive simulation results are provided by using models of the Restructured Version of the Electro-Magnetic Transients Program (EMTP), and conclusions are duly drawn.</jats:p>
|
<ol>
<li><strong>Portugal</strong> (Portugal) – <a href='https://www.openstreetmap.org/relation/295480' target='_blank'>relation/295480</a>; type=<code>boundary/administrative</code>; importance=0.860</li><br/><small>Portugal</small>
</ol>
| null | null | null | null | null | null |
End of preview. Expand
in Data Studio
Dataset Card for geotagging_reranking
This dataset has been created with Argilla. As shown in the sections below, this dataset can be loaded into your Argilla server as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Using this dataset with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds = rg.Dataset.from_hub("SIRIS-Lab/geotagging_reranking", settings="auto")
This will load the settings and records from the dataset repository and push them to you Argilla server for exploration and annotation.
Using this dataset with datasets
To load the records of this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:
from datasets import load_dataset
ds = load_dataset("SIRIS-Lab/geotagging_reranking")
This will only load the records of the dataset, but not the Argilla settings.
Dataset Structure
This dataset repo contains:
- Dataset records in a format compatible with HuggingFace
datasets. These records will be loaded automatically when usingrg.Dataset.from_huband can be loaded independently using thedatasetslibrary viaload_dataset. - The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
- A dataset configuration folder conforming to the Argilla dataset format in
.argilla.
The dataset is created in Argilla with: fields, questions, suggestions, metadata, vectors, and guidelines.
Fields
The fields are the features or text of a dataset's records. For example, the 'text' column of a text classification dataset of the 'prompt' column of an instruction following dataset.
| Field Name | Title | Type | Required |
|---|---|---|---|
| text | text | text | False |
| candidates | Candidate organizations | text | True |
Questions
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, label_selection, multi_label_selection, or ranking.
| Question Name | Title | Type | Required | Description | Values/Labels |
|---|---|---|---|---|---|
| candidate_rating | Candidate match (0 for no-match) | rating | True | Select which of the candidates match the organization mention | [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] |
| feedback | Additional feedback | text | False | Any other observations about this record | N/A |
Data Splits
The dataset contains a single split, which is train.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation guidelines
OSM Entity Reranking Annotation Guidelines
1 Task Description
You will be shown:
- A geographic mention extracted from free text — e.g. “Alexanderplatz”, “Strait of Messina”.
- A short context snippet (± 1–2 sentences) providing local clues.
- A candidate list of OpenStreetMap (OSM) objects that our retrieval pipeline thinks might match, each with:
- OSM ID, object type (node / way / relation)
- Primary name and known alternate names
- Key location tags (place, amenity, natural, boundary, etc.)
- Lat/long, containing admin areas, and distance to any coordinates mentioned in the text (if available)
- System-generated similarity score (descending order)
Your job is to verify and (re)rank these candidates so that the true match is at rank 1 or, if missing, to supply the correct OSM ID.
2 What to Deliver
For every record you must:
| Field | What to enter |
|---|---|
top_candidate_score |
A quality score 1–5 for the best candidate (1 = wrong object, 5 = perfect match). |
correct_osm_id_if_none |
If no candidate is correct, paste the OSM ID (node/way/relation) you found; else leave blank. |
feedback |
Free-text comments, ambiguous cases, or anything helpful for model improvement. |
3 Detailed Instructions
Read the mention & context
- Note nearby place names, feature type (city, mountain, river, square, etc.), and any coordinate clues.
Open each candidate (the tool links to the OSM web viewer):
- Confirm the feature’s geometry, tags, and admin location.
- Check alternate names (
name:*,alt_name,official_name) and language variants.
Decide correctness & rerank
- If one candidate is an exact semantic match, place it first.
- If several are plausible, order them by:
- Name agreement (including abbreviations & translations)
- Correct feature type (e.g., “Lake” ≠ “Town”)
- Spatial closeness to any coordinates or larger place mentioned in context
- Popularity / prominence when all else is equal
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]
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