Future challenges of terrestrial water storage over the arid regions of Central Asia

被引:4
|
作者
Peng, Yuzhuo [1 ]
Zhang, Hao [2 ,3 ,4 ]
Zhang, Zhuo [2 ,3 ,4 ]
Tang, Bin [4 ]
Shen, Dongdong [4 ,5 ]
Yin, Gang [6 ,7 ]
Li, Yaoming [2 ,3 ,4 ]
Chen, Xi [2 ,4 ]
Hu, Zengyun [8 ,9 ]
Nazrollozoda, Sulaimon Habib [10 ]
机构
[1] Xiamen Univ, Coll Ocean & Earth Sci, Ctr Marine Meteorol & Climate Change, State Key Lab Marine Environm Sci, Xiamen 361102, Peoples R China
[2] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China
[3] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Peoples R China
[4] Univ Chinese Acad Sci, Beijing, Peoples R China
[5] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geoph, Beijing, Peoples R China
[6] Xinjiang Univ, Coll Geog & Remote Sensing Sci, Urumqi, Peoples R China
[7] Xinjiang Univ, Xinjiang Key Lab Oasis Ecol, Urumqi, Peoples R China
[8] Shanghai Jiao Tong Univ, Sch Med, Chinese Ctr Trop Dis Res, Sch Global Hlth, Shanghai 200025, Peoples R China
[9] Shanghai Jiao Tong Univ, Sch Med, Sch Publ Hlth, Shanghai 200025, Peoples R China
[10] Tajik Acad Agr Sci, Inst Vet Med, 43,Kahhorov St, Dushanbe 734005, Tajikistan
关键词
Arid regions of Central Asia; CMIP6; dataset; Terrestrial water storage; Future changes; GRACE; CCHZ-DISO; CLIMATE-CHANGE; RIVER-BASIN; GRACE; HYDROLOGY; IMPACTS; MODELS;
D O I
10.1016/j.jag.2024.104026
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Since the arid regions of Central Asia (ACA) are located in the interior of Eurasia, water resources play a vital role in the stability of its ecosystem and economic development. Based on the terrestrial water storage anomaly (TWSA) of the Gravity Recovery and Climate Experiment (GRACE), we analyze the observed characteristics of the TWSA over the ACA during 2003-2014. Results indicate that the terrestrial water storage (TWS) in the region showed an overall declining trend from 2003 to 2014, and the autumn TWS in this region is the smallest compared to other seasons and exhibits a strong decreasing trend at least -4.5 cm/decade. This means water resources over the ACA are scarcer and more vulnerable in autumn. The Distance between Indices of Simulation and Observation (DISO) method is employed to evaluate the performance of the sixth phase of the Coupled Model Intercomparison Project (CMIP6) models in simulating the autumn TWSA over the ACA. Compared with observational results, the autumn TWSA values captured by CMIP6 models are larger and the declining TWS trends are weaker. Using the optimal CMIP6 models, the statistical downscaling method constrains the projection results of autumn TWSA values over the ACA using the GRACE datasets. It shows autumn TWS will continue to decrease in most parts of the ACA in the future, and water scarcity will be the most severe in Tajikistan and southwestern Kazakhstan. Under SSP126, Tajikistan's TWSA is projected to decrease by 11.0 cm in the long term. This study reveals the current situation and possible future changes in TWS over the ACA in autumn, providing references for water resource management and sustainable development policies in this area to avoid losses caused by water scarcity.
引用
收藏
页数:11
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