中文版 | English
题名

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

作者
通讯作者Chen,Kejie
发表日期
2023-11-01
DOI
发表期刊
ISSN
0956-540X
EISSN
1365-246X
卷号235期号:2页码:1581-1599
摘要
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.
关键词
相关链接[Scopus记录]
收录类别
语种
英语
学校署名
第一 ; 通讯
EI入藏号
20233714710875
EI主题词
Digital storage ; Geodesy ; Geodetic satellites ; Global positioning system ; Least squares approximations ; Water management ; Watersheds
EI分类号
Surveying:405.3 ; Precipitation:443.3 ; Water Resources:444 ; Surface Water:444.1 ; Geophysics:481.3 ; Satellites:655.2 ; Data Storage, Equipment and Techniques:722.1 ; Numerical Methods:921.6
ESI学科分类
GEOSCIENCES
Scopus记录号
2-s2.0-85170250127
来源库
Scopus
引用统计
被引频次[WOS]:12
成果类型期刊论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/559494
专题理学院_地球与空间科学系
作者单位
1.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
2.China Earthquake Networks Center,Beijing,100045,China
第一作者单位地球与空间科学系
通讯作者单位地球与空间科学系
第一作者的第一单位地球与空间科学系
推荐引用方式
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.
条目包含的文件
条目无相关文件。
个性服务
原文链接
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
导出为Excel格式
导出为Csv格式
Altmetrics Score
谷歌学术
谷歌学术中相似的文章
[Zhu,Hai]的文章
[Chen,Kejie]的文章
[Hu,Shunqiang]的文章
百度学术
百度学术中相似的文章
[Zhu,Hai]的文章
[Chen,Kejie]的文章
[Hu,Shunqiang]的文章
必应学术
必应学术中相似的文章
[Zhu,Hai]的文章
[Chen,Kejie]的文章
[Hu,Shunqiang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
[发表评论/异议/意见]
暂无评论

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。