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Article: Detection of large-scale groundwater storage variability over the karstic regions in Southwest China

TitleDetection of large-scale groundwater storage variability over the karstic regions in Southwest China
Authors
KeywordsDrought
Forward modelling
GRACE
Groundwater storage
Karst
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jhydrol
Citation
Journal of Hydrology, 2019, v. 569, p. 409-422 How to Cite?
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 root-mean-square-error (RMSE) = 42 mm. For both HKR and LKR, ∼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 (∼4 km3/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. © 2018 Elsevier B.V.
Persistent Identifierhttp://hdl.handle.net/10722/274942
ISSN
2021 Impact Factor: 6.708
2020 SCImago Journal Rankings: 1.684
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Z-
dc.contributor.authorYeh, P-
dc.contributor.authorPan, Y-
dc.contributor.authorJiao, JJJ-
dc.contributor.authorGong, H-
dc.contributor.authorLi, X-
dc.contributor.authorGüntner, A-
dc.contributor.authorZhu, Y-
dc.contributor.authorZhang, C-
dc.contributor.authorZheng, L-
dc.date.accessioned2019-09-10T02:32:05Z-
dc.date.available2019-09-10T02:32:05Z-
dc.date.issued2019-
dc.identifier.citationJournal of Hydrology, 2019, v. 569, p. 409-422-
dc.identifier.issn0022-1694-
dc.identifier.urihttp://hdl.handle.net/10722/274942-
dc.description.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 root-mean-square-error (RMSE) = 42 mm. For both HKR and LKR, ∼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 (∼4 km3/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. © 2018 Elsevier B.V.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jhydrol-
dc.relation.ispartofJournal of Hydrology-
dc.subjectDrought-
dc.subjectForward modelling-
dc.subjectGRACE-
dc.subjectGroundwater storage-
dc.subjectKarst-
dc.titleDetection of large-scale groundwater storage variability over the karstic regions in Southwest China-
dc.typeArticle-
dc.identifier.emailJiao, JJJ: jjiao@hku.hk-
dc.identifier.authorityJiao, JJJ=rp00712-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jhydrol.2018.11.071-
dc.identifier.scopuseid_2-s2.0-85059130951-
dc.identifier.hkuros302735-
dc.identifier.volume569-
dc.identifier.spage409-
dc.identifier.epage422-
dc.identifier.isiWOS:000457952900030-
dc.publisher.placeNetherlands-
dc.identifier.issnl0022-1694-

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