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dc.contributor.authorJanardhanan, Sreekanth
dc.contributor.authorNair, Akhilesh Sivaraman
dc.contributor.authorIndu, J.
dc.contributor.authorPagendam, Dan
dc.contributor.authorKaushika, G.S.
dc.date.accessioned2023-06-29T08:53:22Z
dc.date.available2023-06-29T08:53:22Z
dc.date.created2023-02-18T19:37:16Z
dc.date.issued2023
dc.identifier.issn2045-2322
dc.identifier.urihttps://hdl.handle.net/11250/3074300
dc.description.abstractWe 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.en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEstimation of groundwater storage loss for the Indian Ganga Basin using multiple lines of evidenceen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2023 the authorsen_US
dc.source.articlenumber1797en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41598-023-28615-y
dc.identifier.cristin2127251
dc.source.journalScientific Reportsen_US
dc.identifier.citationScientific Reports. 2023, 13, 1797.en_US
dc.source.volume13en_US


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