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Assessment model for earthquake-triggered landslides based on quantification theory I: case study of Jushui River basin in Sichuan, China

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  • Weihua Zhao
  • Runqiu Huang
  • Nengpan Ju
  • Jianjun Zhao

Abstract

Earthquakes that occur in a mountainous region can trigger a mass of landslides (ETL), and these hazards can cause relatively heavy casualties. Compared with other evaluation models and methods, quantification theory I is a multivariate statistical approach that can simultaneously process qualitative and quantitative variables. On the basis of the ETL features and the influencing factors, in this paper, we select lithology, slope gradient, slope height, slope structure, distance to seismogenic fault, hanging wall/footwall of the seismogenic fault, and rock integrity, a total of seven impact factors, as the assessment index. By randomly selecting 128 single slopes in an intense seismic area as the samples, we develop an assessment model and apply it to investigate the regional stability of the Jushui River basin to prove its applicability. Moreover, this method calculates the factor weight; this can also prove the method through a comparison with the existing research results obtained using other methods. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Weihua Zhao & Runqiu Huang & Nengpan Ju & Jianjun Zhao, 2014. "Assessment model for earthquake-triggered landslides based on quantification theory I: case study of Jushui River basin in Sichuan, 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. 70(1), pages 821-838, January.
    • Handle: RePEc:spr:nathaz:v:70:y:2014:i:1:p:821-838
    DOI: 10.1007/s11069-013-0846-0
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    References listed on IDEAS

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    1. Yujing Jiang & Chunxiang Wang & Xiaodong Zhao, 2010. "Damage assessment of tunnels caused by the 2004 Mid Niigata Prefecture Earthquake using Hayashi’s quantification theory type II," 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. 53(3), pages 425-441, June.
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    Cited by:

    1. Yanyan Li & Jianping Chen & Yanjun Shang, 2016. "An RVM-Based Model for Assessing the Failure Probability of Slopes along the Jinsha River, Close to the Wudongde Dam Site, China," Sustainability, MDPI, vol. 9(1), pages 1-15, December.

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