DocumentCode
2989327
Title
Remotely sensed groundwater storage variations in Hai River basin, China
Author
Xu, Haili ; Pan, Yun ; Gong, Huili ; Zhou, Demin
Author_Institution
Base of the State Lab. of Urban Environ. Processes & Digital Modeling, Capital Normal Univ., Beijing, China
fYear
2012
fDate
15-17 June 2012
Firstpage
1
Lastpage
5
Abstract
Groundwater is primary source of fresh water in many parts of the world, such as Hai River basin where groundwater accounts for 66% of local total water supply. This paper presented a remote sensing approach for monitoring groundwater storage changes with gravity satellite. It is achieved through water budget calculation with the input from GRACE (Gravity Recovery and Climate Experiment) and GLDAS (Global Land Data Assimilation System), which stands for terrestrial water storage and soil water storage, respectively. The results were validated by water table records in the unconfined aquifers of the basin. The GRACE-GLDAS estimates show a good correlation with the observed data except specific months. The R2 of 2005 (exclude May, June, and July), 2006 (exclude May to September), 2007 (exclude May and June), and 2008 (exclude September) are 0.554, 0.619, 0.516, and 0.627, respectively. It can be further inferred that intensive abstraction in summer may alters specific yield, which is a commonly used parameter for validating GRACE-derived groundwater storage.
Keywords
groundwater; hydrological techniques; moisture; remote sensing; rivers; soil; water resources; AD 2005; AD 2006; AD 2007; AD 2008; China; GRACE-GLDAS estimates; Global Land Data Assimilation System; Hai River basin; gravity satellite; groundwater storage variation; remotely sensing; soil water storage; terrestrial water storage; unconfined aquifers; water budget calculation; water supply; Economics; GLDAS; GRACE; Groundwater monitoring; Hai River basin;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2012 20th International Conference on
Conference_Location
Hong Kong
ISSN
2161-024X
Print_ISBN
978-1-4673-1103-8
Type
conf
DOI
10.1109/Geoinformatics.2012.6270267
Filename
6270267
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