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A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions
Luís Romero Barbosa,
Victor Hugo R. Coelho,
Ana Claudia V.L. Gusmão,
Lucila A. Fernandes,
Bernardo B. da Silva,
Carlos de O. Galvão,
Nelson O.L. Caicedo,
Adriano R. da Paz,
Yunqing Xuan ,
Guillaume F. Bertrand,
Davi de C. D. Melo,
Suzana M.G.L. Montenegro,
Sascha E. Oswald,
Cristiano das N. Almeida
Journal of Hydrology, Volume: 607, Start page: 127503
Swansea University Author: Yunqing Xuan
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©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND)
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DOI (Published version): 10.1016/j.jhydrol.2022.127503
Abstract
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions
Published in: | Journal of Hydrology |
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ISSN: | 0022-1694 |
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Elsevier BV
2022
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URI: | https://cronfa.swan.ac.uk/Record/cronfa59247 |
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2022-04-01T16:46:52.6670719 v2 59247 2022-01-25 A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions 3ece84458da360ff84fa95aa1c0c912b 0000-0003-2736-8625 Yunqing Xuan Yunqing Xuan true false 2022-01-25 CIVL Journal Article Journal of Hydrology 607 127503 Elsevier BV 0022-1694 Remote sensing; water balance; groundwater recharge; water table fluctuation; tropical climate; sedimentary aquifer 1 4 2022 2022-04-01 10.1016/j.jhydrol.2022.127503 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University The authors would like to acknowledge the financial support granted by 1) the Research Support Foundation of Paraíba State (FAPESQ-PB) (Grant REF: 88887.142311/2017-00), which also funded the contribution from Yunqing Xuan, supported in partnership with the Newton Fund, via CONFAP – The UK Academies Research Mobility 2017/2018 (Grant REF: 039/2018); 2) the Brazilian Coordination for Improvement of Higher Education Personnel (CAPES) – Finance Code 001 (Grant REF: 88887.161412/2017-00); 3) the Brazilian National Council for Scientific and Technological Development (CNPq) (Grant REF: 160043/2019-0), which also funds the Universal MCTI/CNPq No. 28/2018 (Grant REF: 433801/2018-2); 4) the Brazilian Innovation Agency (FINEP) for funding the Brazilian Managed Aquifer Recharge (BRAMAR) research project (Grant REF: 01.13.0340.00); and 5) the German Research Foundation (DFG) for funding the Cosmic Sense research project – Research Unit No. FOR 2694 (Grant REF: 357874777). 2022-04-01T16:46:52.6670719 2022-01-25T21:36:57.7543671 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Luís Romero Barbosa 1 Victor Hugo R. Coelho 2 Ana Claudia V.L. Gusmão 3 Lucila A. Fernandes 4 Bernardo B. da Silva 5 Carlos de O. Galvão 6 Nelson O.L. Caicedo 7 Adriano R. da Paz 8 Yunqing Xuan 0000-0003-2736-8625 9 Guillaume F. Bertrand 10 Davi de C. D. Melo 11 Suzana M.G.L. Montenegro 12 Sascha E. Oswald 13 Cristiano das N. Almeida 14 59247__22223__0e059e2f66944ef089911994cc2aa32c.pdf HYDROL41875_R1.pdf 2022-01-25T21:40:08.4741442 Output 3303458 application/pdf Accepted Manuscript true 2023-01-25T00:00:00.0000000 ©2022 All rights reserved. All article content, except where otherwise noted, is licensed under a Creative Commons Attribution Non-Commercial No Derivatives License (CC-BY-NC-ND) true eng https://creativecommons.org/licenses/by-nc-nd/4.0/ |
title |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
spellingShingle |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions Yunqing Xuan |
title_short |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
title_full |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
title_fullStr |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
title_full_unstemmed |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
title_sort |
A satellite-based approach to estimating spatially distributed groundwater recharge rates in a tropical wet sedimentary region despite cloudy conditions |
author_id_str_mv |
3ece84458da360ff84fa95aa1c0c912b |
author_id_fullname_str_mv |
3ece84458da360ff84fa95aa1c0c912b_***_Yunqing Xuan |
author |
Yunqing Xuan |
author2 |
Luís Romero Barbosa Victor Hugo R. Coelho Ana Claudia V.L. Gusmão Lucila A. Fernandes Bernardo B. da Silva Carlos de O. Galvão Nelson O.L. Caicedo Adriano R. da Paz Yunqing Xuan Guillaume F. Bertrand Davi de C. D. Melo Suzana M.G.L. Montenegro Sascha E. Oswald Cristiano das N. Almeida |
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Journal of Hydrology |
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607 |
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127503 |
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2022 |
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Swansea University |
issn |
0022-1694 |
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10.1016/j.jhydrol.2022.127503 |
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Elsevier BV |
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Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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published_date |
2022-04-01T04:16:24Z |
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1763754099195510784 |
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11.035655 |