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Characterizing land displacement in complex hydrogeological and geological settings: a case study in the Beijing Plain, China

Author

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  • Yongyong Li

    (College of Resource Environment and Tourism, Capital Normal University)

  • Huili Gong

    (College of Resource Environment and Tourism, Capital Normal University)

  • Lin Zhu

    (College of Resource Environment and Tourism, Capital Normal University)

  • Xiaojuan Li

    (College of Resource Environment and Tourism, Capital Normal University)

  • Rong Wang

    (Beijing Institute of Hydrogeology and Engineering Geology)

  • Gaoxuan Guo

    (University of Chinese Academy Science)

Abstract

Characterization of land displacement induced by long-term overexploitation of groundwater is necessary to ensure sustainable water supply in Beijing, China. The northern part of the Beijing Plain is an important water source area and is also designed for groundwater recharge from South-to-North Water Diversion Project. We aim to depict the process of characterizing land displacement under complex hydrogeological and geological context in the region using remote sensing and geographic information system. Interferometric synthetic aperture radar time-series analysis was used to detect land displacement from 2003 to 2010. Statistic linear regression equations between groundwater level and land displacement were built based on linear consolidation principle. The spatial difference of Pearson correlation coefficient (R) and slope (k) were discriminated to quantify the response of land displacement to groundwater level change. The results show that there are two major displacement cones with annual rates up to −40 and −24 mm year−1. R and k had a negative and positive correlation with increasing land displacement, respectively. A larger R reflects that the groundwater level has a closer relation with the occurrence of land displacement. The weak correlation is due to the delay in the propagation of the pressure drawdown in the fine-sediment layers or lens from the pumped aquifers where the pressure is measured. Thick compressible layer has more potential for land displacement. Results of this study are necessary to clarify the land displacement characteristics, to make full use of abundant spatial–temporal dataset, and ultimately to support hazard prevention and mitigation decisions.

Suggested Citation

  • Yongyong Li & Huili Gong & Lin Zhu & Xiaojuan Li & Rong Wang & Gaoxuan Guo, 2017. "Characterizing land displacement in complex hydrogeological and geological settings: a case study in the Beijing Plain, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(1), pages 323-343, May.
  • Handle: RePEc:spr:nathaz:v:87:y:2017:i:1:d:10.1007_s11069-017-2771-0
    DOI: 10.1007/s11069-017-2771-0
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    References listed on IDEAS

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    1. Yong Liu & Hai-Jun Huang, 2013. "Characterization and mechanism of regional land subsidence in the Yellow River Delta, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 687-709, September.
    2. Beibei Chen & Huili Gong & Xiaojuan Li & Kunchao Lei & Mingliang Gao & Chaofan Zhou & Yinghai Ke, 2015. "Spatial–temporal evolution patterns of land subsidence with different situation of space utilization," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(3), pages 1765-1783, July.
    3. Mingzhou Wang & Tao Li & Liming Jiang, 2016. "Monitoring reclaimed lands subsidence in Hong Kong with InSAR technique by persistent and distributed scatterers," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 531-543, May.
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    Cited by:

    1. Hanrui Sun & Lin Zhu & Lin Guo & Yong Luo & Dong Du & Ying Sun, 2022. "Understanding the different responses from the similarity between displacement and groundwater level time series in Beijing, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 1-18, March.

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