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Quantifying the impact of human activities on geological hazards in mountainous areas: evidence from Shennongjia, China

Author

Listed:
  • Fang Zou

    (Wuhan University
    Changsha University of Science and Technology
    Collaborative Innovation Center of Geospatial Technology)

  • Qingming Zhan

    (Wuhan University
    Collaborative Innovation Center of Geospatial Technology)

  • Weisi Zhang

    (Wuhan University
    Collaborative Innovation Center of Geospatial Technology)

Abstract

An increasing number of geological hazards threaten human life and property in mountainous areas, especially in China. Existing studies on the prevention of geological hazards mainly focus on natural factors and ignore the impact of human activities on geological hazards. This study aims to enrich our knowledge of the impact of human activities through a case study from the Shennongjia mountainous area, China. Spatial regression models were used to quantify the impact of different construction activities on geological hazards based on remote sensing images, local statistical data, land-use data and geological hazards distribution data. The Shennongjia case revealed the following: (1) The global Moran’s I index of the distribution of geological hazards was 0.35, which showed obvious spatial autocorrelation characteristics. (2) From the multiple model comparison, the spatial lag model was more suitable for quantifying the impact of human activities on geological hazards than the least squares regression model and the spatial error model. (3) Road construction and building construction were the main causes of geological hazards, whereas agricultural activities and mining activities had only a limited effect. The evidence reported here could enable governments to constrain human activities and to reduce the geological hazards in mountainous areas across China and beyond.

Suggested Citation

  • Fang Zou & Qingming Zhan & Weisi Zhang, 2018. "Quantifying the impact of human activities on geological hazards in mountainous areas: evidence from Shennongjia, 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. 90(1), pages 137-155, January.
    • Handle: RePEc:spr:nathaz:v:90:y:2018:i:1:d:10.1007_s11069-017-3039-4
    DOI: 10.1007/s11069-017-3039-4
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    References listed on IDEAS

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    1. Shao-Hui Peng & Kui Wang, 2015. "Risk evaluation of geological hazards of mountainous tourist area: a case study of Mengshan, 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. 78(1), pages 517-529, August.
    2. Luc Anselin & Rodolfo Bongiovanni & Jess Lowenberg-DeBoer, 2004. "A Spatial Econometric Approach to the Economics of Site-Specific Nitrogen Management in Corn Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 675-687.
    3. Jie Dou & Hiromitsu Yamagishi & Hamid Pourghasemi & Ali Yunus & Xuan Song & Yueren Xu & Zhongfan Zhu, 2015. "An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan," 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. 78(3), pages 1749-1776, September.
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    1. Suyue Han & Bin Liu & Hourui Ren & Zhongli Zhou & Hao Gong, 2023. "Research on the spatiotemporal characteristics of the socioeconomic development level of mountainous earthquake-stricken areas under a long-time series after the earthquake," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12659-12680, November.

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