Using the Global Navigation Satellite System and Precipitation Data to Establish the Propagation Characteristics of Meteorological and Hydrological Drought in Yunnan, China

被引:51
作者
Zhu, Hai [1 ]
Chen, Kejie [1 ,2 ]
Hu, Shunqiang [1 ]
Liu, Junguo [3 ,4 ]
Shi, Haiyun [3 ]
Wei, Guoguang [1 ]
Chai, Haishan [1 ]
Li, Jiafeng [1 ]
Wang, Tan [5 ]
机构
[1] Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen, Peoples R China
[2] Southern Univ Sci & Technol, Inst Risk Anal, Acad Adv Interdisciplinary Studies, Predict & Management Risks X, Shenzhen, Peoples R China
[3] Southern Univ Sci & Technol, Sch Environm Sci & Engn, Shenzhen, Peoples R China
[4] North China Univ Water Resources & Elect Power, Henan Prov Key Lab Hydrosphere & Watershed Water S, Zhengzhou, Peoples R China
[5] China Earthquake Networks Ctr, Beijing, Peoples R China
基金
美国国家科学基金会;
关键词
GNSS; drought characterization; drought propagation; POSITION TIME-SERIES; WATER STORAGE; CLIMATE-CHANGE; COMPONENT ANALYSIS; RIVER-BASIN; L-CURVE; GPS; INDEX; PROVINCE; DEFORMATION;
D O I
10.1029/2022WR033126
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Analyzing the spatiotemporal characteristics and evolution of meteorological and hydrological droughts can reproduce the process of drought propagation, which helps reduce the impact of droughts and improve water resources management. While emerging studies have attempted to build drought severity index based on the cutting-edge space geodetic observations, few have focused the propagation characteristics of meteorological to hydrological drought using geodetic data. In this paper, using global navigation satellite systems (GNSS) observations together with precipitation data, we systematically investigated drought propagation in the Yunnan province, Southwest China. We first identified seven meteorological and seven hydrological droughts in Yunnan from January 2011 to May 2021, and the meteorological drought was mainly concentrated in northern Yunnan lasting for 1-11 months. By contrast, hydrological droughts were more severe and larger than meteorological droughts, lasting for 2-16 months. The drought propagation time was 2-7 months, short in the southwest but long in the northeast. Water vapor, precipitation, and water storage demonstrated a spatiotemporal pattern of uneven distribution, with the red river fault (RRF) as the boundary, and their phase difference also presented notable regional differences, indicating that the RRF not only influences spatial variation of water resources but also affects drought propagation. Plain Language Summary The dense global navigation satellite system (GNSS) network has become a powerful tool for monitoring atmospheric water vapor and terrestrial water storage. By analyzing the evolution and spatiotemporal patterns of meteorological and hydrological droughts through the GNSS-based drought monitoring method, we investigated the propagation characteristics from meteorological to hydrological droughts and potential influencing factors. Our results suggest that the Yunnan province in China has experienced serious meteorological and hydrological droughts from January 2011 to May 2021, and hydrological drought was more severe than meteorological drought. The meteorological drought was mainly responsible for the hydrological drought, and the drought propagation time was 2-7 months. Furthermore, the red river fault not only influences the spatial variation of water resources but also affects drought propagation.
引用
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页数:28
相关论文
共 103 条
[1]  
[Anonymous], 1993, P 8 C APPL CLIM
[2]   Understanding the Role of Climate Characteristics in Drought Propagation [J].
Apurv, Tushar ;
Sivapalan, Murugesu ;
Cai, Ximing .
WATER RESOURCES RESEARCH, 2017, 53 (11) :9304-9329
[3]   Sustained Water Loss in California's Mountain Ranges During Severe Drought From 2012 to 2015 Inferred From GPS [J].
Argus, Donald F. ;
Landerer, Felix W. ;
Wiese, David N. ;
Martens, Hilary R. ;
Fu, Yuning ;
Famiglietti, James S. ;
Thomas, Brian F. ;
Farr, Thomas G. ;
Moore, Angelyn W. ;
Watkins, Michael M. .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2017, 122 (12) :10559-10585
[4]   Seasonal variation in total water storage in California inferred from GPS observations of vertical land motion [J].
Argus, Donald F. ;
Fu, Yuning ;
Landerer, Felix W. .
GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (06) :1971-1980
[5]   Monsoonal loading in Ethiopia and Eritrea from vertical GPS displacement time series [J].
Birhanu, Yelebe ;
Bendick, Rebecca .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2015, 120 (10) :7231-7238
[6]   Precipitable water vapor and its relationship with the Standardized Precipitation Index: ground-based GPS measurements and reanalysis data [J].
Bordi, Isabella ;
Zhu, Xiuhua ;
Fraedrich, Klaus .
THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 123 (1-2) :263-275
[7]   L-curve and curvature bounds for Tikhonov regularization [J].
Calvetti, D ;
Reichel, L ;
Shuibi, A .
NUMERICAL ALGORITHMS, 2004, 35 (2-4) :301-314
[8]   Tikhonov regularization and the L-curve for large discrete ill-posed problems [J].
Calvetti, D ;
Morigi, S ;
Reichel, L ;
Sgallari, F .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2000, 123 (1-2) :423-446
[9]   Joint Inversion of GNSS and GRACE for Terrestrial Water Storage Change in California [J].
Carlson, G. ;
Werth, S. ;
Shirzaei, M. .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2022, 127 (03)
[10]   Annual and seasonal changes in means and extreme events of precipitation and their connection to elevation over Yunnan Province, China [J].
Chen, Fenli ;
Chen, Hongmei ;
Yang, Yanyan .
QUATERNARY INTERNATIONAL, 2015, 374 :46-61