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Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence

We used remote sensing data, field observations and numerical groundwater modelling to investigate long-term groundwater storage losses in the regional aquifer of the Ganga Basin in India. This comprised trend analysis for groundwater level observations from 2851 monitoring bores, groundwater storag...

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Autores principales: Janardhanan, Sreekanth, Nair, Akhilesh S., Indu, J., Pagendam, Dan, Kaushika, G. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889759/
https://www.ncbi.nlm.nih.gov/pubmed/36720892
http://dx.doi.org/10.1038/s41598-023-28615-y
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author Janardhanan, Sreekanth
Nair, Akhilesh S.
Indu, J.
Pagendam, Dan
Kaushika, G. S.
author_facet Janardhanan, Sreekanth
Nair, Akhilesh S.
Indu, J.
Pagendam, Dan
Kaushika, G. S.
author_sort Janardhanan, Sreekanth
collection PubMed
description We used remote sensing data, field observations and numerical groundwater modelling to investigate long-term groundwater storage losses in the regional aquifer of the Ganga Basin in India. This comprised trend analysis for groundwater level observations from 2851 monitoring bores, groundwater storage anomaly estimation using GRACE and Global Land Data Assimilation System (GLDAS) data sets and numerical modelling of long-term groundwater storage changes underpinned by over 50,000 groundwater level observations and uncertainty analysis. Three analyses based on different methods consistently informed that groundwater storage in the aquifer is declining at a significant rate. Groundwater level trend indicated storage loss in the range − 1.1 to − 3.3 cm year(−1) (median − 2.6 cm year(−1)) while the modelling and GRACE storage anomaly methods indicated the storage loss in the range of − 2.1 to − 4.5 cm year(−1) (median − 3.2 cm year(−1)) and − 1.0 to − 4.2 cm year(−1) (median − 1.7 cm year(−1)) respectively. Probabilistic modelling analysis also indicated that the average groundwater storage is declining in all the major basin states, the highest declining trend being in the western states of Rajasthan, Haryana and Delhi. While smaller compared to the western states, average groundwater storage in states further towards east—Uttar Pradesh, Bihar and West Bengal within the basin are also declining. Time series of storage anomalies obtained from the three methods showed similar trends. Probabilistic storage analysis using the numerical model vetted by observed trend analysis and GRACE data provides the opportunity for predictive analysis of storage changes for future climate and other scenarios.
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spelling pubmed-98897592023-02-02 Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence Janardhanan, Sreekanth Nair, Akhilesh S. Indu, J. Pagendam, Dan Kaushika, G. S. Sci Rep Article We used remote sensing data, field observations and numerical groundwater modelling to investigate long-term groundwater storage losses in the regional aquifer of the Ganga Basin in India. This comprised trend analysis for groundwater level observations from 2851 monitoring bores, groundwater storage anomaly estimation using GRACE and Global Land Data Assimilation System (GLDAS) data sets and numerical modelling of long-term groundwater storage changes underpinned by over 50,000 groundwater level observations and uncertainty analysis. Three analyses based on different methods consistently informed that groundwater storage in the aquifer is declining at a significant rate. Groundwater level trend indicated storage loss in the range − 1.1 to − 3.3 cm year(−1) (median − 2.6 cm year(−1)) while the modelling and GRACE storage anomaly methods indicated the storage loss in the range of − 2.1 to − 4.5 cm year(−1) (median − 3.2 cm year(−1)) and − 1.0 to − 4.2 cm year(−1) (median − 1.7 cm year(−1)) respectively. Probabilistic modelling analysis also indicated that the average groundwater storage is declining in all the major basin states, the highest declining trend being in the western states of Rajasthan, Haryana and Delhi. While smaller compared to the western states, average groundwater storage in states further towards east—Uttar Pradesh, Bihar and West Bengal within the basin are also declining. Time series of storage anomalies obtained from the three methods showed similar trends. Probabilistic storage analysis using the numerical model vetted by observed trend analysis and GRACE data provides the opportunity for predictive analysis of storage changes for future climate and other scenarios. Nature Publishing Group UK 2023-01-31 /pmc/articles/PMC9889759/ /pubmed/36720892 http://dx.doi.org/10.1038/s41598-023-28615-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Janardhanan, Sreekanth
Nair, Akhilesh S.
Indu, J.
Pagendam, Dan
Kaushika, G. S.
Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title_full Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title_fullStr Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title_full_unstemmed Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title_short Estimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidence
title_sort estimation of groundwater storage loss for the indian ganga basin using multiple lines of evidence
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889759/
https://www.ncbi.nlm.nih.gov/pubmed/36720892
http://dx.doi.org/10.1038/s41598-023-28615-y
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