IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v87y2017i1d10.1007_s11069-017-2771-0.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-017-2771-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-017-2771-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Biswajeet Pradhan & Mohammed Abokharima & Mustafa Jebur & Mahyat Tehrany, 2014. "Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS," 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. 73(2), pages 1019-1042, September.
    2. Huizhi Duan & Yongsheng Li & Bingquan Li & Hao Li, 2022. "Fast InSAR Time-Series Analysis Method in a Full-Resolution SAR Coordinate System: A Case Study of the Yellow River Delta," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
    3. Li Ping & Li Pei-Ying & Du Jun, 2014. "Hazardous geology zoning and influence factors in the near-shore shallow strata and seabed surface of the modern 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. 73(3), pages 2107-2126, September.
    4. Fengkai Li & Guolin Liu & Qiuxiang Tao & Min Zhai, 2023. "Land subsidence prediction model based on its influencing factors and machine learning methods," 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. 116(3), pages 3015-3041, April.
    5. Yilin Liu & Haijun Huang & Yanxia Liu & Haibo Bi, 2016. "Linking land subsidence over the Yellow River delta, China, to hydrocarbon exploitation using multi-temporal InSAR," 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. 84(1), pages 271-291, October.
    6. Bangyan Zhu & Zhengwei Chu & Fei Shen & Wei Tang & Bin Wang & Xiao Wang, 2019. "Land subsidence (2004–2013) in Changzhou in Central Yangtze River delta revealed by MT-InSAR," 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. 97(1), pages 379-394, May.
    7. Keren Dai & Xianlin Shi & Jisong Gou & Leyin Hu & Mi Chen & Liang Zhao & Xiujun Dong & Zhenhong Li, 2020. "Diagnosing Subsidence Geohazard at Beijing Capital International Airport, from High-Resolution SAR Interferometry," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    8. Zhen-Dong Cui & Qiang Yuan, 2015. "Study on the settlement caused by the Maglev train," 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. 75(2), pages 1767-1778, January.
    9. Jin-Zhi Zhang & Hai-jun Huang & Hai-bo Bi, 2015. "Land subsidence in the modern Yellow River Delta based on InSAR time series analysis," 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. 75(3), pages 2385-2397, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:87:y:2017:i:1:d:10.1007_s11069-017-2771-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.