Literature DB >> 32464408

Land subsidence and its relation with groundwater aquifers in Beijing Plain of China.

Beibei Chen1, Huili Gong2, Yun Chen3, Xiaojuan Li1, Chaofan Zhou1, Kunchao Lei4, Lin Zhu1, Li Duan1, Xiaoxiao Zhao1.   

Abstract

Beijing is a major metropolis with significant land subsidence because of long-term overexploitation of groundwater. While the South-to-North Water Diversion Project (SWDP) has provided new water sources Beijing; it has changed the pattern of land subsidence evolution in Beijing since 2015. Here we address how land subsidence evolution before and after SWDP, and we quantify also the impact of groundwater level changes in different aquifers on land subsidence at spatial scale. Subsidence evolution before and after SWDP were compared by adopting Persistent Scatterer Inteferomotry (PSI) with Radarsat-2 and Sentinel-1 data. Spatial correlation between Interferometric Synthetic Aperture Radar (InSAR) derived subsidence and groundwater levels in four aquifers was investigated using the Random Forest (RF) machine learning algorithm and Geographical Detectors (GD) technique. Extensometer deformation data and corresponding variation in groundwater level observations at three monitoring stations were used for validations. The study reveals that: firstly, both InSAR-derived subsidence area and maximum annual deformation rate decreased from 79.2% and 141 mm/yr before SWDP, to 60.1% and 135 mm/yr after SWDP. A reduction of time series deformation at four subsidence centers started about two years after the commence of SWDP in 2015. Secondly, the variation of groundwater level in the second confined aquifer has the strongest spatial correlation with subsidence in all the aquifers, but its impact on this aquifer has decreased after SWDP. These findings have an important scientific significance for the rational allocation of water resources and management strategy for mitigating hazards associated with subsidence against the background of SWDP.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Geographical Detectors (GD) method; Land subsidence; Random Forest (RF) algorithm; Spatial correlation

Year:  2020        PMID: 32464408     DOI: 10.1016/j.scitotenv.2020.139111

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  2 in total

1.  Optimized Selection of Water Resource Allocation Schemes Based on Improved Connection Entropy in Beijing's Southern Plain.

Authors:  Chen Li; Baohui Men; Shiyang Yin
Journal:  Entropy (Basel)       Date:  2022-07-01       Impact factor: 2.738

2.  Spatiotemporal heterogeneity of land subsidence in Beijing.

Authors:  Guangyao Duan; Huili Gong; Beibei Chen; Xiaojuan Li; Xingyao Pan; Min Shi; Hang Zhang
Journal:  Sci Rep       Date:  2022-09-06       Impact factor: 4.996

  2 in total

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