Remote Sensing-Based Monitoring and Evaluation of the Basin-Wise Dynamics of Terrestrial Water and Groundwater Storage Fluctuations

dc.contributor.author Khorrami, Behnam
dc.contributor.author Gündüz, Orhan
dc.date.accessioned 2023-07-27T19:51:13Z
dc.date.available 2023-07-27T19:51:13Z
dc.date.issued 2023
dc.description.abstract The recent dynamics of terrestrial water storage (TWS) and groundwater storage (GWS) fluctuations were investigated based on the Gravity Recovery And Climate Experiment (GRACE) observations over 25 basins of Türkiye. Coarse-resolution GRACE estimates were downscaled based on the Random Forest algorithm. The impacts of precipitation (P) and evapotranspiration (ET) on the variations of water storage were also assessed. The findings demonstrated good performance for the RF model in simulating finer resolution estimates of TWS. The results indicated a diminishing trend of TWS and its hydrologic components over all the basins from 2003 to 2020. The Doğu Akdeniz Basin with the annually decreasing TWS and GWS of 1.15cm/yr and 1.10cm/yr was the most critical basin of Türkiye. The least storage loss was observed in the Batı Karadeniz Basin with the annual TWS and GWS loss of 0.38cm/yr and 0.45cm/yr , respectively. Based on the results, Türkiye has lost, on average, an estimated 5.16km3/yr and 4.09km3/yr of its TWS and GWS, respectively, which are equivalent to the total storage loss of 92.88km3 and 73.62km3 of TWS and GWS during the last 18 years. The results also indicated that P and ET interact differently with the variations of TWS and GWS. The net water flux was revealed to be partially correlated with the total water storage fluctuations, suggesting the governing role of other deriving forces particularly the anthropogenic factors in the spatiotemporal variations of Türkiye’s water storage; therefore, a sector-specific analysis of the water storage variations is crucial for the country, particularly by concentrating more on the dynamics of GWS. Graphical Abstract: [Figure not available: see fulltext.]. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG. en_US
dc.identifier.doi 10.1007/s10661-023-11480-7
dc.identifier.issn 0167-6369
dc.identifier.issn 1573-2959
dc.identifier.scopus 2-s2.0-85163184384
dc.identifier.uri https://doi.org/10.1007/s10661-023-11480-7
dc.identifier.uri https://hdl.handle.net/11147/13658
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Environmental Monitoring and Assessment en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject GRACE en_US
dc.subject Groundwater storage en_US
dc.subject Hydrologic assessment en_US
dc.subject Terrestrial water storage en_US
dc.title Remote Sensing-Based Monitoring and Evaluation of the Basin-Wise Dynamics of Terrestrial Water and Groundwater Storage Fluctuations en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Gündüz, Orhan
gdc.author.scopusid 57201380752
gdc.author.scopusid 9743239900
gdc.bip.impulseclass C4
gdc.bip.influenceclass C5
gdc.bip.popularityclass C4
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Environmental Engineering en_US
gdc.description.issue 7 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.volume 195 en_US
gdc.description.wosquality Q3
gdc.identifier.openalex W4381597355
gdc.identifier.pmid 37347293
gdc.identifier.wos WOS:001021024000003
gdc.index.type WoS
gdc.index.type Scopus
gdc.index.type PubMed
gdc.oaire.diamondjournal false
gdc.oaire.impulse 11.0
gdc.oaire.influence 2.882253E-9
gdc.oaire.isgreen false
gdc.oaire.keywords Climate
gdc.oaire.keywords Remote Sensing Technology
gdc.oaire.keywords Water
gdc.oaire.keywords Groundwater
gdc.oaire.keywords Environmental Monitoring
gdc.oaire.popularity 6.325443E-9
gdc.oaire.publicfunded false
gdc.openalex.collaboration National
gdc.openalex.fwci 6.46786601
gdc.openalex.normalizedpercentile 0.97
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 6
gdc.plumx.crossrefcites 1
gdc.plumx.mendeley 19
gdc.plumx.scopuscites 21
gdc.scopus.citedcount 21
gdc.wos.citedcount 21
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relation.isOrgUnitOfPublication.latestForDiscovery 9af2b05f-28ac-4016-8abe-a4dfe192da5e

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