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Detection of large-scale groundwater storage variability over the karstic regions in Southwest China
Huang, Zhiyong1,2,3; Yeh, Pat J. -F.4; Pan, Yun1,2; Jiao, Jiu Jimmy3; Gong, Huili1,2; Li, Xiaojuan1,2; Guntner, Andreas5; Zhu, Yunqiang6,7; Zhang, Chong8,9; Zheng, Longqun1,2
2019-02-01
Source PublicationJOURNAL OF HYDROLOGY
ISSN0022-1694
Volume569Pages:409-422
Corresponding AuthorYeh, Pat J. -F.(pat.yeh@monash.edu) ; Pan, Yun(pan@cnu.edu.cn)
AbstractThe 2003-2013 monthly groundwater storage (GWS) anomalies in the highly karstic region (HKR) and low karstic region (LKR) in the Southwest China are estimated from the Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage (TWS) data by using the ancillary data of surface water storage (SWS) and soil moisture storage (SMS) from the WaterGAP model simulations. The leakage errors in the estimated GWS anomalies are corrected through using the iterative forward modelling approach. The estimated GWS anomalies compare well with in situ groundwater-level observations with the correlation coefficient r = 0.71 and the rootmean-square-error (RMSE) = 42 mm. For both HKR and LKR, similar to 60% of temporal variability of TWS is contributed by GWS variability, while SMS contributes to 18% (HKR) and 28% (LKR), and SWS contributes to 22% (HKR) and 14% (LKR) of the TWS variability. Due to the higher permeability of the epi-karst zones and their better connection with the subsurface aquifers, GWS anomalies in HKR show larger correlations with SWS (r = 0.73, RMSE = 51 mm) and SMS (r = 0.68, RMSE = 47 mm) and a shorter lag to precipitation than that in LKR (SWS: r = 0.56, RMSE = 50 mm, and SMS: r = 0.48, RMSE = 49 mm). During the extreme drought in 2009, GWS loss in HKR (LKR) was 74.3 mm/yr (42.7 mm/yr), accounting for 66% (62%) of total TWS loss. The severe GWS loss was mainly due to larger discharges through the well-developed subsurface drainage system rather than human depletion, since groundwater resources are still under-exploited in Southwest China ( similar to 4 km(3)/yr, 12% of the potentially exploitable amounts). A quicker recovery of GWS from 2009 drought can be observed in HKR than LKR due to the larger and earlier (approximately one month) precipitation and infiltration, and quicker response of groundwater to precipitation in HKR.
KeywordGRACE Karst Groundwater storage Loss and recovery Forward modelling Drought Time lag
DOI10.1016/j.jhydrol.2018.11.071
WOS KeywordGLOBAL HYDROLOGICAL MODEL ; WATER STORAGE ; LONGTAN RESERVOIR ; NORTHWEST INDIA ; DROUGHT ; DEPLETION ; EVAPOTRANSPIRATION ; RECHARGE ; PARAMETERS ; RECOVERY
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41101033] ; National Natural Science Foundation of China[41130744] ; Beijing Municipal Natural Science Foundation[8152012] ; Guizhou Welfare and Basic Geologic Research Program of China[201423] ; Postgraduate Innovation Programme at Capital Normal University
Funding OrganizationNational Natural Science Foundation of China ; Beijing Municipal Natural Science Foundation ; Guizhou Welfare and Basic Geologic Research Program of China ; Postgraduate Innovation Programme at Capital Normal University
WOS Research AreaEngineering ; Geology ; Water Resources
WOS SubjectEngineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS IDWOS:000457952900030
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49868
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYeh, Pat J. -F.; Pan, Yun
Affiliation1.Capital Normal Univ, Beijing Lab Water Resources Secur, Beijing, Peoples R China
2.Capital Normal Univ, State Key Lab Base Urban Environm Proc & Digital, Beijing, Peoples R China
3.Univ Hong Kong, Dept Earth Sci, Hong Kong, Peoples R China
4.Monash Univ, Discipline Civil Engn, Malaysia Campus, Subang Jaya, Malaysia
5.GFZ German Res Ctr Geosci, Sect Hydrol, Potsdam, Germany
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
7.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
8.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Fac Geog Sci, Beijing, Peoples R China
9.Beijing Normal Univ, Inst Land Surface Syst & Sustainable Dev, Fac Geog Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Huang, Zhiyong,Yeh, Pat J. -F.,Pan, Yun,et al. Detection of large-scale groundwater storage variability over the karstic regions in Southwest China[J]. JOURNAL OF HYDROLOGY,2019,569:409-422.
APA Huang, Zhiyong.,Yeh, Pat J. -F..,Pan, Yun.,Jiao, Jiu Jimmy.,Gong, Huili.,...&Zheng, Longqun.(2019).Detection of large-scale groundwater storage variability over the karstic regions in Southwest China.JOURNAL OF HYDROLOGY,569,409-422.
MLA Huang, Zhiyong,et al."Detection of large-scale groundwater storage variability over the karstic regions in Southwest China".JOURNAL OF HYDROLOGY 569(2019):409-422.
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