Monitoring the spatio-temporal changes of terrestrial water storage using GRACE data in the Tarim River basin between 2002 and 2015

被引:101
作者
Yang Peng [1 ,2 ]
Xia Jun [1 ,3 ]
Zhan Chesheng [1 ]
Qiao Yunfeng [2 ,4 ]
Wang Yueling [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430000, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Variability indices; Principal component analysis; TRMM; Multiple linear regression; TRB; EMPIRICAL ORTHOGONAL FUNCTIONS; REMOTE-SENSING DATA; CLIMATE-CHANGE; MONTHLY RUNOFF; WESTERN CHINA; CENTRAL-ASIA; TIEN-SHAN; PRECIPITATION; VARIABILITY; RESOURCES;
D O I
10.1016/j.scitotenv.2017.03.268
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With the threat of water shortages intensifying, the need to identify the terrestrial water storage (TWS) variation in the Tarim River Basin (TRB) becomes very significant for managing its water resource. Due to the lack of large-scale hydrological data, this study employed the Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) to monitor TWS variation in the TRB during the period of 2002-2015, cooperating with two statistical techniques, Principal Component Analysis (PCA) - Empirical Orthogonal Function (EOF) and Multiple Linear Regression (MLR). Results indicated that (1) the Tropical rainfall measuring mission (TRMM) data can be applied well in the TRB; (2) the EOF result showed that both the time series of TRMM precipitation and GRACE-derived TWS in the TRB between 2002 and 2015 were dominated by the annual signals, which were followed by the semiannual signals; (3) the linear trend for the spatially averaged GRACE-derived TWS changes exhibited an decrease of 1.6 +/- 1.1 mm/a, and the EOF result indicated a significant decrease of 4.1 +/- 1.5 mm/a in the north of TRB; (4) while the precipitation variations was the major driver for the TWS changes, the GLDAS-derived TWS (i.e., soil moisture) decrease and ground water decrease played the major role in the TWS decrease in the north of TRB for the significant correlation (P < 0.05). The changes of TWS might be linked to excessive exploitation of water resources, increased population, and shrinking water supplies, which would impact on the water level of the lakes or reservoir. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:218 / 228
页数:11
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