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Risk Assessment of Single-Gully Debris Flow Based on Dynamic Changes in Provenance in the Wenchuan Earthquake Zone: A Case Study of the Qipan Gully

Author

Listed:
  • Na Su

    (School of Civil Engineering, Central South University, Changsha 410075, China)

  • Linrong Xu

    (School of Civil Engineering, Central South University, Changsha 410075, China
    National Engineering Laboratory for High-Speed Railway Construction, Central South University, Changsha 410075, China)

  • Bo Yang

    (College of Civil Engineering, Henan University of Technology, Zhengzhou 450001, China)

  • Yongwei Li

    (School of Civil Engineering, Central South University, Changsha 410075, China)

  • Fengyu Gu

    (School of Civil Engineering, Central South University, Changsha 410075, China)

Abstract

After the Wenchuan earthquake on 12 May 2008, a huge amount of loose deposits was generated on the mountain surface in the earthquake zone, and vegetation was severely damaged, providing a rich source of material for debris flow, greatly increasing the danger. For many years, researchers have mainly considered the recovery of slope vegetation in assessing the risk of debris flow post-earthquake. However, field investigations have found that large amounts of the dynamic reserve materials in the gully have an important impact on the risk. Thus, based on field survey data, this paper takes the Qipan gully in Wenchuan County as an object and uses multi-source and multi-scale monitoring methods (Landsat series, Quickbird, and Unmanned Air Vehicle) to analyze and statistically study the provenance of the slope and gully both pre- and post- the earthquake. By comprehensively using game theory combination weighting and the cloud model, a dynamic risk assessment model for debris flow was constructed to evaluate the risk of debris flow from 2005 to 2019. The results show that the slope provenance post-earthquake was 7.7 times that of pre-earthquake, and by 2019 the slope provenance had recovered to the pre-earthquake level. Based on the statistical estimation of the amount of debris flow outbreak and the dredging of the blocking dam recorded in relevant data, the dynamic provenance of debris flow had decreased by about 781.3 × 10 4 m 3 by 2019. Compared with considering slope provenance only, the assessment result of debris flow risk considering both slope and gully provenance is more realistic. The results are expected to provide reference and guidance for dynamic assessment of the risk of debris flow faced by increasing projects in high-seismic-intensity mountainous areas and to ensure the safety of people’s lives and property effectively.

Suggested Citation

  • Na Su & Linrong Xu & Bo Yang & Yongwei Li & Fengyu Gu, 2023. "Risk Assessment of Single-Gully Debris Flow Based on Dynamic Changes in Provenance in the Wenchuan Earthquake Zone: A Case Study of the Qipan Gully," Sustainability, MDPI, vol. 15(15), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:12098-:d:1212397
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    References listed on IDEAS

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    1. Jiawen Tang & Di Wang & Wei Ye & Bing Dong & Huijuan Yang, 2022. "Safety Risk Assessment of Air Traffic Control System Based on the Game Theory and the Cloud Matter Element Analysis," Sustainability, MDPI, vol. 14(10), pages 1-18, May.
    2. Xinyu Xu & Mingwu Wang & Yafeng Li & Libiao Zhang, 2017. "Risk Evaluation of Debris Flow Hazard Based on Asymmetric Connection Cloud Model," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-8, October.
    3. Mingtao Ding & Tao Huang, 2019. "Vulnerability assessment of population in mountain settlements exposed to debris flow: a case study on Qipan gully, Wenchuan County, 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. 99(1), pages 553-569, October.
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    Cited by:

    1. Yan Li & Jianguo Wang & Keping Ju & Shengyun Wei & Zhinan Wang & Jian Hu, 2024. "Assessing the Susceptibility of the Xiangka Debris Flow Using Analytic Hierarchy Process, Fuzzy Comprehensive Evaluation Method, and Cloud Model," Sustainability, MDPI, vol. 16(13), pages 1-19, June.

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