2016
DOI: 10.1007/s12517-016-2522-7
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Monitoring groundwater changes in the Yangtze River basin using satellite and model data

Abstract: Space-borne geodetic sensors and model-based datasets have been used to monitor groundwater changes in the Yangtze River basin (YRB). Groundwater storage variations were computed using the following datasets:• Gravity Recovery and Climate Experiment (GRACE)-derived terrestrial water storage (TWS),• Noah driven Global Land Data Assimilation System (GLDAS-Noah) model to simulate the total water content (TWC) i.e. soil moisture, ice and snow, and canopy water storage, and• Satellite altimetry-observed surface wat… Show more

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Cited by 18 publications
(10 citation statements)
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“…In this lake, the MODIS-based estimates of the inundated area present poor correlation (0.10) with the GRACE TWS estimates in the Delta Plain Basin (not shown). In addition, the similar results in terms of altimetry-derived TWS also support our conclusion [45]. …”
Section: Modis-derived Inundated Area Variationssupporting
confidence: 89%
“…In this lake, the MODIS-based estimates of the inundated area present poor correlation (0.10) with the GRACE TWS estimates in the Delta Plain Basin (not shown). In addition, the similar results in terms of altimetry-derived TWS also support our conclusion [45]. …”
Section: Modis-derived Inundated Area Variationssupporting
confidence: 89%
“…Variations in the GRACE‐derived TWS (TWS grace ) represent variations in one or more of the following reservoirs: snow/ice, surface water, soil moisture, groundwater, and wet biomass (e.g., Wahr, Molenaar, & Bryan, ). GRACE data have been extensively used to quantify aquifers recharge and depletion rates (Ahmed, Sultan, Yan, & Wahr, ; Ahmed et al, ; Ahmed et al, ; Al‐Zyoud, Rühaak, Forootan, & Sass, ; Castellazzi, Martel, Galloway, Longuevergne, & Rivera, ; Castle et al, ; Chinnasamy & Agoramoorthy, ; Chinnasamy, Maheshwari, & Prathapar, ; Chinnasamy & Sunde, ; Döll, Müller Schmied, Schuh, Portmann, & Eicker, ; Ellett, Walker, Western, & Rodell, ; Feng et al, ; Gonçalvès, Petersen, Deschamps, Hamelin, & Baba‐Sy, ; Huang, Pavlic, Rivera, Palombi, & Smerdon, ; Huang et al, ; Huo et al, ; Jiang, Ferreira, & Chen, ; Joodaki, Wahr, & Swenson, ; Lakshmi, ; Lenk, ; Li & Rodell, ; Long et al, ; Mohamed, Sultan, Ahmed, Yan, & Ahmed, ; Rodell, Velicogna, & Famiglietti, ; Tiwari, Wahr, & Swenson, ; Veit & Conrad, ; Voss et al, ; Wada et al, ; Wouters, Bonin, Chambers, Sasgen, & Wahr, ; Yosri, Abd‐Elmegeed, & Hassan, ).…”
Section: Introductionmentioning
confidence: 99%
“…Variations in the GRACE-derived TWS (TWS grace ) represent variations in one or more of the following reservoirs: snow/ice, surface water, soil moisture, groundwater, and wet biomass (e.g., Wahr, Molenaar, & Bryan, 1998). GRACE data have been extensively used to quantify aquifers recharge and depletion rates (Ahmed, Sultan, Yan, & Wahr, 2016;Ahmed et al, 2011;Ahmed et al, 2014;Al-Zyoud, Rühaak, Forootan, & Sass, 2015;Castellazzi, Martel, Galloway, Longuevergne, & Rivera, 2016;Castle et al, 2014;Chinnasamy & Agoramoorthy, 2015;Chinnasamy, Maheshwari, & Prathapar, 2015;Chinnasamy & Sunde, 2016;Döll, Müller Schmied, Schuh, Portmann, & Eicker, 2014;Ellett, Walker, Western, & Rodell, 2006;Feng et al, 2013;Gonçalvès, Petersen, Deschamps, Hamelin, & Baba-Sy, 2013;Huang, Pavlic, Rivera, Palombi, & Smerdon, 2016;Huang et al, 2015;Huo et al, 2016;Jiang, Ferreira, & Chen, 2016;Joodaki, Wahr, & Swenson, 2014;Lakshmi, 2016;Lenk, 2013;Li & Rodell, 2015;Long et al, 2016;Mohamed, Sultan, Ahmed, Yan, & Ahmed, 2016;Rodell, Velicogna, & Famiglietti, 2009;Tiwari, Wahr, & Swenson, 2009; Veit derived groundwater storage (GWS grace ) over the Saq aquifer system ( Figure 1) to explore the natural and anthropogenic drivers of these variations. The calculated GWS grace estimates were then correlated and validated against field measurements from 15 groundwater wells distributed across the Saq aquifer system ( Figure 1 The Saq aquifer system is characterized by a thick sedimentary succession of Cambrian sandstone that overly the crystalline basement rocks of the Red Sea hills.…”
Section: Introductionmentioning
confidence: 99%
“…O GLDAS abriu um enorme horizonte para estudos em diversas áreas, inclusive na hidrologia, possibilitando estudar variáveis que, normalmente, são menos monitoradas (e.g., umidade do solo, escoamento superficial, etc)(LIU; MISHRA; ZHANG, 2017; SOMOROWSKA, 2017). Uma quantidade significativa de artigos científicos envolvendo o GLDAS, no entanto, é voltada para avaliação de simulações (KęDZIOR;ZAWADZKI, 2016;BAI et al, 2016;AHMED et al, 2016; ou combinação destas com dados do GRACE para estudos com diversas finalidades (e.g., monitoramento do TWS, monitoramento de água subterrânea,estimativa de evapotranspiração, caracterização de secas, cálculo de balanço hídrico, etc)(SEO; LEE, 2016;HUANG et al, 2016;JIANG;FERREIRA;CHEN, 2016;HUO et al, 2016;YANG et al, 2017;LV et al, 2017;AGUTU et al, 2017).…”
Section: Modelagem E Assimilação De Dadosunclassified
“…O produto mais recente lançado pelo CSR-UT em abril de 2015 é o RL05 (Release-05 GRACE Level-2 data products), disponível em <http://www.csr.utexas.edu/grace/gravity/>. De acordo com Ferreira et al (2016), as soluções produzidas pelo CSR apresentaram, numa escala global, as menores incertezas (9.4 mm) em relação àquelas produzidas pelo GFZ (13.7 mm) e JPL (13.2 mm). Destaca-se que cada versão inclui o reprocessamento de todos os dados desde o início da missão, de forma que as estimativas mais recentes apresentam melhorias em relação às anteriores.…”
unclassified