Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Li, Jifei, Ma, Jinzhu, Zhou, Ying, Duan, Zhihua, and Guo, Yuning, 2025. Groundwater Crisis in the Eastern Loess Plateau: Evolution of Storage, Linkages with the North China Plain, and Driving Mechanisms. Remote Sensing, 17(16):2785, doi:10.3390/rs17162785.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.2785L,
author = {{Li}, Jifei and {Ma}, Jinzhu and {Zhou}, Ying and {Duan}, Zhihua and {Guo}, Yuning},
title = "{Groundwater Crisis in the Eastern Loess Plateau: Evolution of Storage, Linkages with the North China Plain, and Driving Mechanisms}",
journal = {Remote Sensing},
keywords = {groundwater storage, interregional groundwater linkages, contribution analysis, sustainable groundwater management},
year = 2025,
month = aug,
volume = {17},
number = {16},
eid = {2785},
pages = {2785},
abstract = "{Understanding the dynamics and drivers of groundwater storage (GWS) is
crucial for sustainable resource management. Most studies
attribute GWS changes to climate change or human activities,
often neglecting external hydrological influences. In this
study, we categorize the driving factors influencing GWS changes
into three groups: climate change, human activity, and regional
hydrological pressure. We emphasize that the coupling effects
and potential disturbances from adjacent hydrological systems
may significantly affect local groundwater evolution. This
perspective differs from conventional approaches that focus
solely on local factors. This study analyzes the spatiotemporal
evolution of GWS in Shanxi Province, located in the eastern
Loess Plateau, from 2003 to 2023 using GRACE and GLDAS data. We
examine the linkage between GWS in Shanxi and the North China
Plain through correlation analysis, Engle{\textendash}Granger
cointegration tests, and Granger causality tests. The results
show that GWS in Shanxi showed an average annual reduction of
‑17.27 {\ensuremath{\pm}} 1.4 mm/yr, with the most severe
depletion occurring in the southeastern region, which is
geographically adjacent to the North China Plain. The results of
the Engle{\textendash}Granger cointegration test and Granger
causality analysis reveal a bidirectional causal relationship
between GWS changes in the two regions, indicating that changes
in GWS in either region may have a significant impact on the
other. The results of the contribution analysis indicate that
the North China Plain's groundwater decline contributes
approximately ‑53.89\% to the reduction of GWS in Shanxi, while
human activities and external hydrological influences together
explain over 98\% of the change. This result suggests that
relying solely on climatic and human activity factors to explain
groundwater changes may lead to significant biases, as ignoring
interregional hydrological linkages can amplify or obscure the
attribution of local groundwater variations, resulting in
distorted conclusions. These findings highlight the value of
remote sensing in capturing regional hydrological interactions
and underscore the need to integrate interregional groundwater
connectivity into policy design for sustainable groundwater
governance.}",
doi = {10.3390/rs17162785},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.2785L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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