Mon Dec 15, F. Flechtner
• Sorted by Date • Sorted by Last Name of First Author •
Wang, Xincheng, Chen, Beibei, Ma, Ziyao, Gong, Huili, Ma, Rui, Zhou, Chaofan, Meng, Dexin, Zhang, Shubo, Zhang, Chong, Lei, Kunchao, Wang, Haigang, and Zhang, Jincai, 2025. Unraveling Multiscale Spatiotemporal Linkages of Groundwater Storage and Land Deformation in the North China Plain After the South-to-North Water Diversion Project. Remote Sensing, 17(19):3336, doi:10.3390/rs17193336.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2025RemS...17.3336W,
author = {{Wang}, Xincheng and {Chen}, Beibei and {Ma}, Ziyao and {Gong}, Huili and {Ma}, Rui and {Zhou}, Chaofan and {Meng}, Dexin and {Zhang}, Shubo and {Zhang}, Chong and {Lei}, Kunchao and {Wang}, Haigang and {Zhang}, Jincai},
title = "{Unraveling Multiscale Spatiotemporal Linkages of Groundwater Storage and Land Deformation in the North China Plain After the South-to-North Water Diversion Project}",
journal = {Remote Sensing},
keywords = {GRACE, InSAR, groundwater storage, downscaling, land deformation, ground fissures, North China Plain (NCP)},
year = 2025,
month = sep,
volume = {17},
number = {19},
eid = {3336},
pages = {3336},
abstract = "{What are the main findings? Groundwater storage in the NCP showed a
declining trend from 2018 to 2021, with a maximum subsidence
rate reached ‑177 mm/a. Downscaled GWSA revealed contrasting
groundwater variations across the northwest and southeast sides
of the Shunyi fissure. Groundwater storage in the NCP showed a
declining trend from 2018 to 2021, with a maximum subsidence
rate reached ‑177 mm/a. Downscaled GWSA revealed contrasting
groundwater variations across the northwest and southeast sides
of the Shunyi fissure. What is the implication of the main
finding? A novel GRACE statistical downscaling algorithm
integrating a weight allocation strategy and InSAR-derived GWS
estimation is proposed. The multiscale analysis provides
insights into groundwater storage and land deformation patterns
in the NCP after SNWDP. A novel GRACE statistical downscaling
algorithm integrating a weight allocation strategy and InSAR-
derived GWS estimation is proposed. The multiscale analysis
provides insights into groundwater storage and land deformation
patterns in the NCP after SNWDP. Leveraging multi-source remote
sensing datasets and dynamic groundwater monitoring well
observations, this study explores the multiscale spatiotemporal
linkages of groundwater storage changes and land deformation in
North China Plain (NCP) after the South-to-North Water Diversion
Project (SNWDP). Firstly, we employed Gravity Recovery and
Climate Experiment (GRACE) and interferometric synthetic
aperture radar (InSAR) technology to estimate groundwater
storage (GWS) and land deformation. Secondly and significantly,
we proposed a novel GRACE statistical downscaling algorithm that
integrates a weight allocation strategy and GWS estimation
applied with InSAR technology. Finally, the downscaled results
were employed to analyze spatial differences in land deformation
across typical ground fissure areas. The results indicate that
(1) between 2018 and 2021, groundwater storage in the NCP
exhibited a declining trend, with an average reduction of ‑3.81
{\ensuremath{\pm}} 0.53 km$^{3}$/a and a maximum land
deformation rate of ‑177 mm/a; (2) the downscaled groundwater
storage anomalies (GWSA) showed high correlation with in situ
measurements (R = 0.75, RMSE = 2.91 cm); and (3) in the Shunyi
fissure area, groundwater storage on the northern side increased
continuously, with a maximum growth rate of 28 mm/a, resulting
in surface uplift exceeding 70 mm.}",
doi = {10.3390/rs17193336},
adsurl = {https://ui.adsabs.harvard.edu/abs/2025RemS...17.3336W},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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