• Sorted by Date • Sorted by Last Name of First Author •
Zhang, Qian, Lv, Shengwei, Zhang, Shengwei, Zhou, Ying, Lin, Xi, Yang, Lin, Wang, Shuai, and Li, Ruishen, 2025. Land use and economic development influenced the hotspots of groundwater storage gains and losses in mainland China in the past 20 years. Journal of Hydrology, 663:134280, doi:10.1016/j.jhydrol.2025.134280.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JHyd..66334280Z,
author = {{Zhang}, Qian and {Lv}, Shengwei and {Zhang}, Shengwei and {Zhou}, Ying and {Lin}, Xi and {Yang}, Lin and {Wang}, Shuai and {Li}, Ruishen},
title = "{Land use and economic development influenced the hotspots of groundwater storage gains and losses in mainland China in the past 20 years}",
journal = {Journal of Hydrology},
keywords = {Groundwater storage, Hotspots, GRACE/GRACE-FO satellite, China, Groundwater resource management},
year = 2025,
month = dec,
volume = {663},
eid = {134280},
pages = {134280},
abstract = "{Groundwater is the world's largest freshwater resource after ice caps
and glaciers, and its over-exploitation can disrupt regional
hydrological cycles, leading to issues such as land subsidence
and salinization. Identifying hotspots and drivers of
groundwater storage changes is essential for sustainable water
management and climate change mitigation. This study uses
GRACE/GRACE-FO satellite data to identify groundwater storage
change hotspots in mainland China over the past two decades,
employing Pettitt-test and temporal stability analyses. To
ensure reliability, we cross-validated the GRACE/GRACE-FO-
derived groundwater storage against Watergap Global Hydrological
Model and available well records, the correlation coefficient
distribution is 0.76{\textendash}0.88. The hotspots are
categorized into loss (I, II, III) and gain (IV, V) categories.
The severity of both gain and loss conditions increases with the
level. Additionally, the study quantifies the contributions of
natural and anthropogenic factors by integrating climatic and
socio-economic variables. The results indicate that loss
hotspots dominate in North China, Loess Plateau, Northwest
China, Northeast China, and Qinghai-Tibet Plateau. In the
Qinghai-Tibet Plateau region, the combined proportion of Level
I, II, and III loss hotspots exceeds 60\%, whereas in other
regions, the combined proportion of these loss hotspots is over
75\%. In contrast, surplus hotspots are prevalent in South
China, Ch-Yu region, Middle-Lower Yangtze River, and Yun-Gui
Plateau, where level IV and V gain hotspots exceed 60\%.
Groundwater changes in the Qinghai-Tibet Plateau and Loess
Plateau are primarily influenced by land use, whereas economic
factors play a more significant role in other regions. This
study offers valuable insights into regional groundwater changes
across China and provides a scientific foundation for effective
water resource management.}",
doi = {10.1016/j.jhydrol.2025.134280},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JHyd..66334280Z},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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