Research on Risk Assessment of Debris Flow in a Mining Area in Western China Based on the Game Theory Empowering Normal Cloud Theory

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Authors

  • Li Li
     Civil Engineering College, Chongqing Three Gorges University, Chongqing 404 100 ,CN
  • Qiang Yue
     Jiang Xi Engineering Research Center of Water Engineering Safety and Resources Efficient Utilization, Changjiang River Scientific Research Institute of Changjiang Water Resources Commission, Wuhan 430 010 ,CN
  • Li Shaohong
     College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu 610 059 ,CN

Keywords:

Debris Flow, Risk Assessment, Cloud Model, Game Theory, Monte Carlo Modelling.

Abstract

Risk assessment of debris flow is an uncertain problem involving randomness and fuzziness. The cloud model is used to distinguish for assessing the risk of debris flow scientifically and rationally. Firstly, the system standard of debris flow risk assessment is constructed; secondly, impact factor of each assessment system which belonging to cloud droplet of each risk level produced by normal cloud generator, the subjective weights and objective weights of the debris flow influence factors are coupled by using game theory, and consider the fuzziness of debris flow basic data, using the Monte Carlo modelling thought, and by generating large cloud droplets and statistics of the average value in a mini zone near the basic data for evaluating debris flow as the basic data belonging to some hierarchical average degree of certainty; finally, the proposed model is used for case research, and compared to several existing mature methods to prove the proposed model is feasible and reasonable.

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Published

2022-10-24

How to Cite

Li, L., Yue, Q., & Shaohong, L. (2022). Research on Risk Assessment of Debris Flow in a Mining Area in Western China Based on the Game Theory Empowering Normal Cloud Theory. Journal of Mines, Metals and Fuels, 66(12), 845–850. Retrieved from https://www.informaticsjournals.com/index.php/jmmf/article/view/31811

Issue

Volume 66, Issue 12, December 2018

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

 

References

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