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author:

Liu, X. (Liu, X..) [1] | Zhao, N. (Zhao, N..) [2] | Guo, J. (Guo, J..) [3] | Sun, Y. (Sun, Y..) [4] | Guo, B. (Guo, B..) [5] | Mou, N. (Mou, N..) [6]

Indexed by:

Scopus

Abstract:

We estimated the equivalent water height (EWH) over Qinghai-Tibet Plateau (QTP) from time-variable gravity field models derived from the Gravity Recovery and Climate Experiment (GRACE) data released by CSR, JPL, GFZ, and GRGS. EWHs calculated from CSR, GFZ, JPL, and GRGS models, respectively, were taken as the observed signals, and the corresponding 4 independent source signals of each observed signal were determined by independent component analysis to remove the north-south stripe errors and identify the fourth independent components as meaningful water storage change (WSC) signals. These interesting signals are highly correlated to those predicted by hydrological models such as CPC and GLDAS with the maximum and minimum correlation coefficients of 0.89 and − 0.5, respectively. The result shows that EWHs over QTP wholly have the rising trend with the mean rate of WSC of greater than 0.7 mm/year. The in situ precipitations on 140 meteorological stations are also analyzed to verify the water storage changes determined from GRACE data. The results indicate that precipitation is one important water source to replenish the groundwater in QTP. © 2020, Saudi Society for Geosciences.

Keyword:

Equivalent water height; Gaussian filter; GRACE; Independent component analysis; Qinghai-Tibet Plateau; Water storage change

Community:

  • [ 1 ] [Liu, X.]College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 2 ] [Zhao, N.]College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 3 ] [Guo, J.]College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 4 ] [Guo, J.]State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 5 ] [Sun, Y.]Key Laboratory of Data Mining and Sharing of Ministration of Education, Fuzhou University, Fuzhou, 350116, China
  • [ 6 ] [Guo, B.]College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 7 ] [Guo, B.]State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, China
  • [ 8 ] [Mou, N.]College of Geomatics, Shandong University of Science and Technology, Qingdao, 266590, China

Reprint 's Address:

  • [Guo, J.]State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Science and Technology, Shandong University of Science and TechnologyChina

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Source :

Arabian Journal of Geosciences

ISSN: 1866-7511

Year: 2020

Issue: 4

Volume: 13

1 . 8 2 7

JCR@2020

1 . 8 2 7

JCR@2020

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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