中文版 | English
Title

Characterizing hydrological droughts within three watersheds in Yunnan, China from GNSS-inferred terrestrial water storage changes constrained by GRACE data

Author
Corresponding AuthorChen,Kejie
Publication Years
2023-11-01
DOI
Source Title
ISSN
0956-540X
EISSN
1365-246X
Volume235Issue:2Pages:1581-1599
Abstract
The spatiotemporal evolution of drought is often modulated by climate and watershed characteristics. While numerous drought studies using space geodesy have been conducted in Yunnan, the scarcity and limited sensitivity of observation instruments have hindered the development of watershed-scale drought analyses. This study aims to accurately characterize hydrological droughts within three watersheds in Yunnan from 2011 January to 2021 May by a Global Navigation Satellite System (GNSS) inversion constrained by Gravity Recovery and Climate Experiment (GRACE) data. Initially, we employed Variational Bayesian Independent Component Analysis to reconstruct the 3-D crustal deformations at 43 GNSS stations resulting from hydrological loadings. We then computed the time-series of vertical displacements caused by GRACE Mascon water products. Subsequently, utilizing the method of least squares, we derived the scaling factors between the vertical crustal displacements (VCD) obtained from GNSS observations and the synthetic displacements derived from GRACE data. By combing scaling-factor-adjusted VCDs derived from GRACE with the GNSS data, we have obtained accurate estimates of water storage for three Yunnan watersheds. Finally, we identified drought events characterized by abnormal decreases in water storage and used climatological methods to quantitatively describe the severity, extent and recovery of these drought extremes. Additionally, we evaluated the influence of various earth elastic structures on the scaling factors, and demonstrated their advantageous contribution to aligning GNSS and GRACE observations. In conclusion, our study introduces a novel approach to integrate GNSS and GRACE retrievals, allowing for accurate characterization of droughts in data-scarce regions, which cannot be achieved by GNSS or GRACE individually. Moreover, our results underscore the potential benefits of watershed-scale drought monitoring and analysis for effective water resource management.
Keywords
URL[Source Record]
Language
English
SUSTech Authorship
First ; Corresponding
ESI Research Field
GEOSCIENCES
Scopus EID
2-s2.0-85170250127
Data Source
Scopus
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559494
DepartmentDepartment of Earth and Space Sciences
Affiliation
1.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
2.China Earthquake Networks Center,Beijing,100045,China
First Author AffilicationDepartment of Earth and Space Sciences
Corresponding Author AffilicationDepartment of Earth and Space Sciences
First Author's First AffilicationDepartment of Earth and Space Sciences
Recommended Citation
GB/T 7714
Zhu,Hai,Chen,Kejie,Hu,Shunqiang,et al. Characterizing hydrological droughts within three watersheds in Yunnan, China from GNSS-inferred terrestrial water storage changes constrained by GRACE data[J]. Geophysical Journal International,2023,235(2):1581-1599.
APA
Zhu,Hai,Chen,Kejie,Hu,Shunqiang,Wei,Guoguang,Chai,Haishan,&Wang,Tan.(2023).Characterizing hydrological droughts within three watersheds in Yunnan, China from GNSS-inferred terrestrial water storage changes constrained by GRACE data.Geophysical Journal International,235(2),1581-1599.
MLA
Zhu,Hai,et al."Characterizing hydrological droughts within three watersheds in Yunnan, China from GNSS-inferred terrestrial water storage changes constrained by GRACE data".Geophysical Journal International 235.2(2023):1581-1599.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Zhu,Hai]'s Articles
[Chen,Kejie]'s Articles
[Hu,Shunqiang]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Zhu,Hai]'s Articles
[Chen,Kejie]'s Articles
[Hu,Shunqiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhu,Hai]'s Articles
[Chen,Kejie]'s Articles
[Hu,Shunqiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.