Mon Oct 13, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Chen, Zexia, Liu, Wei, Feng, Qi, Yin, Zhenliang, Zhu, Meng, Xue, Yuanyuan, Wang, Lingge, Fang, Chunshuang, and Zhu, Rui, 2025. Groundwater anomaly variation and its response to environment change in an inland river basin, China. Journal of Hydrology, 661:133812, doi:10.1016/j.jhydrol.2025.133812.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025JHyd..66133812C,
author = {{Chen}, Zexia and {Liu}, Wei and {Feng}, Qi and {Yin}, Zhenliang and {Zhu}, Meng and {Xue}, Yuanyuan and {Wang}, Lingge and {Fang}, Chunshuang and {Zhu}, Rui},
title = "{Groundwater anomaly variation and its response to environment change in an inland river basin, China}",
journal = {Journal of Hydrology},
keywords = {GWSA characteristics, Environment change, Response relationship},
year = 2025,
month = nov,
volume = {661},
eid = {133812},
pages = {133812},
abstract = "{Inland river basins have plunged into water shortage with growing social
development, as an important component of water resources,
groundwater provides a large water supply for inland river
basins. However, current understanding of groundwater dynamics
and corresponding response to environment remains deficient
owing to insufficient data, which needs to be further explored.
To address this, we assessed groundwater storage anomaly (GWSA)
through GRACE-based records over a typical inland river basin,
Shiyang river basin, and analysis relevant response
characteristics to environment. Annual GWSA peaked in 2004 and
followed by sharply decline until 2010. Although a minor rebound
occurred afterward, but overall trend of GWSA remained downward.
Spatially, approximately 85 \% of basin experienced a
significant decline over ‑0.65 mm/year. In intra-annual scale,
monthly GWSA show a double-peaked pattern in mountainous area
while a single-peaked pattern in rest area. From 2002 to 2020,
precipitation, temperature, evapotranspiration, vegetation and
soil moisture show increasing trends. The largest landuse area
change are cropland and unused land, cropland area was mainly
converted from unused land and low-coverage grassland.
Meanwhile, water and city land have increased significantly, by
21.41 \% and 50.59 \%, respectively, with the major
transformation from unused land and cropland in oasis and desert
area. Wavelet analysis reveals GWSA responds slower to
temperature (0.97{\textendash}1.86 months) and
evapotranspiration (0.60{\textendash}1.96 months) but faster to
soil moisture (0.23{\textendash}1.19 months). The SEM analysis
indicates that GWSA was positively influenced by both
precipitation and soil moisture in oasis and desert areas
(>0.65), while those in mountainous area was mainly positively
influenced by precipitation (0.38). Evapotranspiration and
temperature contribute negative impacts on GWSA, with the lower
the elevation, the greater the negative impact. These findings
deepen understanding of regional groundwater dynamics and
provide valuable insights for government groundwater resource
management and sustainable development strategies for inland
river basin.}",
doi = {10.1016/j.jhydrol.2025.133812},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025JHyd..66133812C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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