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Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area

Author

Listed:
  • Xiaoyi Zhang

    (Hangzhou City University)

  • Yichen Ruan

    (Hangzhou City University)

  • Weihao Xuan

    (Hangzhou Survey Design and Research Institute Limited Company)

  • Haijun Bao

    (Hangzhou City University)

  • Zhenhong Du

    (Zhejiang University)

Abstract

China’s large- and medium-sized cities have entered the stage of seeking space resources underground. The safety of underground spaces has become an important issue for the high-quality development of cities. Urban ground collapse (UGC) is a common accident that occurs in underground spaces and is affected by a combination of factors. In this study, Internet news was used to supplement the data of the relevant departments, and a database of 68 UGC events from 1964 to the present was built. The probability distribution of the UGC risk was calculated using the nearest neighbor and density models. Then, the geo-detector was used to explore the explanatory power of risk factors, including natural environmental and socio-economic factors. The results show that the impact of the explanatory power of risk factors on UGC, from high to low, is population density, metro influence, and soil type. The interaction of factors enhances the explanatory power, whereby the interaction between socio-economic and natural environmental factors represented by population density and soil type is the highest. A risk division map of UGC in Hangzhou was obtained, with proportions of type I (0.6%), type II (28.3%), and type III (71.0%) areas. This study demonstrates the influence of human activities on UGC events through quantitative results and provides research support for urban underground safety risk assessment.

Suggested Citation

  • Xiaoyi Zhang & Yichen Ruan & Weihao Xuan & Haijun Bao & Zhenhong Du, 2023. "Risk assessment and spatial regulation on urban ground collapse based on geo-detector: a case study of Hangzhou urban area," 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. 118(1), pages 525-543, August.
  • Handle: RePEc:spr:nathaz:v:118:y:2023:i:1:d:10.1007_s11069-023-06016-8
    DOI: 10.1007/s11069-023-06016-8
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    References listed on IDEAS

    as
    1. Xu-Wei Wang & Ye-Shuang Xu, 2022. "Investigation on the phenomena and influence factors of urban ground collapse in 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. 113(1), pages 1-33, August.
    2. Aihua Wei & Duo Li & Yahong Zhou & Qinghai Deng & Liangdong Yan, 2021. "A novel combination approach for karst collapse susceptibility assessment using the analytic hierarchy process, catastrophe, and entropy model," 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. 105(1), pages 405-430, January.
    3. Yu Huang & Yangjuan Bao & Yuhong Wang, 2015. "Analysis of geoenvironmental hazards in urban underground space development in Shanghai," 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 2067-2079, February.
    4. Paolo Maria Guarino & Antonio Santo & Giovanni Forte & Melania De Falco & Daniela Maria Antonia Niceforo, 2018. "Analysis of a database for anthropogenic sinkhole triggering and zonation in the Naples hinterland (Southern Italy)," 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. 91(1), pages 173-192, April.
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    Cited by:

    1. Huiying Sun & Zhenhua Di & Piling Sun & Xueyan Wang & Zhenwei Liu & Wenjuan Zhang, 2024. "Spatiotemporal Differentiation and Its Attribution of the Ecosystem Service Trade-Off/Synergy in the Yellow River Basin," Land, MDPI, vol. 13(3), pages 1-26, March.

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