36 / 2021-11-09 10:57:02
Probabilistic Prediction of Debris-Flow Runout Distances on the Depositional Area: A Copula Approach
Debris flow; depositional area; runout distance; copula
Draft Pending
密 田 / 湖北工业大学
Runout distances on depositional areas are the key parameter to delineate potential hazard areas of debris flows for mitigation work design and risk management. However, due to the complex geological processes of debris flows, it still remains a great challenge to properly determine the runout zones. This paper proposed a copula-based framework to probabilistically predict the runout distances. A three-dimensional copula probabilistic model is constructed to model the multivariate distribution of debris flow’s maximum runout distance (L), debris-flow volume (VD), and catchment internal relief (H). Then the developed model is used to determine the runout distances of debris flows for a specific hazard level. The proposed approaches were illustrated and validated using the debris-flow investigation dataset in Wenchuan earthquake zone. Results show that the probabilistic estimates of runout distances agree well with their respective observed values, providing a rational basis for predicting the hazard zonation of debris flow.

Runout distances on depositional areas are the key parameter to delineate potential hazard areas of debris flows for mitigation work design and risk management. However, due to the complex geological processes of debris flows, it still remains a great challenge to properly determine the runout zones. This paper proposed a copula-based framework to probabilistically predict the runout distances. A three-dimensional copula probabilistic model is constructed to model the multivariate distribution of debris flow’s maximum runout distance (L), debris-flow volume (VD), and catchment internal relief (H). Then the developed model is used to determine the runout distances of debris flows for a specific hazard level. The proposed approaches were illustrated and validated using the debris-flow investigation dataset in Wenchuan earthquake zone. Results show that the probabilistic estimates of runout distances agree well with their respective observed values, providing a rational basis for predicting the hazard zonation of debris flow.

 
Important Date
  • Conference Date

    Nov 26

    2021

    to

    Nov 28

    2021

  • Nov 23 2021

    Draft paper submission deadline

  • Nov 30 2021

    Contribution Submission Deadline

  • Nov 30 2021

    Registration deadline

Sponsored By
国家自然科学基金委员会地球科学学部
国际工程地质与环境协会(IAEG)
中国地质大学(武汉)
湖北省巴东县人民政府
Organized By
湖北三峡库区地质灾害国家野外科学观测研究站
湖北省巴东人民政府
中国地质大学(武汉)工程学院
Contact Information
  • Mr. 周汉文
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