TY - JOUR
T1 - Temporal and spatial variations in the terrestrial water storage across Central Asia based on multiple satellite datasets and global hydrological models
AU - Hu, Zengyun
AU - Zhang, Zizhan
AU - Sang, Yan Fang
AU - Qian, Jing
AU - Feng, Wei
AU - Chen, Xi
AU - Zhou, Qiming
N1 - Funding Information:
This study was supported by the Strategic Priority Research Program of Chinese Academy of Sciences , Pan-Third Pole Environment Study for a Green Silk Road ( Pan-TPEXDA200603 ), the National Natural Science Foundation of China (Grant No. 41971386 , 41874098 , 41874095 ), the Western Scholars of the Chinese Academy of Sciences ( 2020-XBQNXZ-010 ), the General Research Fund ( HKBU 12301820 ), and the Youth Innovation Promotion Association CAS (No. 2017074).
PY - 2021/5
Y1 - 2021/5
N2 - Arid regions of Central Asia have sensitive ecosystems that rely heavily on terrestrial water storage which is composed of surface water storage, soil moisture storage and groundwater storage. Therefore, we employed three Gravity Recovery and Climate Experiment (GRACE) satellite datasets and five global hydrological models (GHMs) to explore the terrestrial water storage (TWS) changes over arid regions of Central Asia from 2003 to 2014. We observed significantly decreasing water storage trends in the GRACE data, which were underestimated by the GHMs. After averaging the three GRACE satellite datasets, we found that the water storage was decreasing at a rate of −4.74 mm/year. Contrary to the prevailing declining water storage trends, northeastern Kazakhstan (KAZ), and southern Xinjiang increased their water storage over the same period. The GRACE data showed that Turkmenistan (TKM), Uzbekistan (UZB) and KAZ experienced the most severe water depletions, while Tajikistan (TJK) and northwest China (NW) experienced the least significant depletions. With respect to the major river and lake basins, the Aral Sea Basin exhibited the most serious water loss (-0.60 mm/month to −0.38 mm/month). The water storage positively correlates with the precipitation; and negatively correlates, with a three-month lag, with temperature and potential evapotranspiration (PET). Partial least square regression (PLSR) had the high capability in simulating and predicting the TWS. These results provide scientific evidence and guidance for local policy makers working toward sustainable water resource management, and the resolution of international water resource disputes among Central Asian countries.
AB - Arid regions of Central Asia have sensitive ecosystems that rely heavily on terrestrial water storage which is composed of surface water storage, soil moisture storage and groundwater storage. Therefore, we employed three Gravity Recovery and Climate Experiment (GRACE) satellite datasets and five global hydrological models (GHMs) to explore the terrestrial water storage (TWS) changes over arid regions of Central Asia from 2003 to 2014. We observed significantly decreasing water storage trends in the GRACE data, which were underestimated by the GHMs. After averaging the three GRACE satellite datasets, we found that the water storage was decreasing at a rate of −4.74 mm/year. Contrary to the prevailing declining water storage trends, northeastern Kazakhstan (KAZ), and southern Xinjiang increased their water storage over the same period. The GRACE data showed that Turkmenistan (TKM), Uzbekistan (UZB) and KAZ experienced the most severe water depletions, while Tajikistan (TJK) and northwest China (NW) experienced the least significant depletions. With respect to the major river and lake basins, the Aral Sea Basin exhibited the most serious water loss (-0.60 mm/month to −0.38 mm/month). The water storage positively correlates with the precipitation; and negatively correlates, with a three-month lag, with temperature and potential evapotranspiration (PET). Partial least square regression (PLSR) had the high capability in simulating and predicting the TWS. These results provide scientific evidence and guidance for local policy makers working toward sustainable water resource management, and the resolution of international water resource disputes among Central Asian countries.
KW - Central Asia
KW - Global hydrological model
KW - GRACE satellite dataset
KW - Partial least square regression
KW - Terrestrial water storage
UR - http://www.scopus.com/inward/record.url?scp=85102625562&partnerID=8YFLogxK
U2 - 10.1016/j.jhydrol.2021.126013
DO - 10.1016/j.jhydrol.2021.126013
M3 - Journal article
AN - SCOPUS:85102625562
SN - 0022-1694
VL - 596
JO - Journal of Hydrology
JF - Journal of Hydrology
M1 - 126013
ER -