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Study on the Identification and Classification of Key Influencing Factors of Debris-Flow-Prone Areas in Liaoning Province Based on Self-organizing Clustering and Sensitivity Analysis

Author

Listed:
  • Fei Wang

    (School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

  • Yongqiang Cao

    (Academy of Ecocivilization Development for Jing-Jin-Ji megalopolis, Tianjin Normal University, Tianjin 300387, China)

  • Shuaibang Fan

    (School of Public Administration, Dongbei University of Finance and Economics, Dalian 116025, China)

  • Ruoning Zhang

    (School of Geographical Sciences, Liaoning Normal University, Dalian 116029, China)

Abstract

Due to the characteristics of sudden occurrence, fast disaster speed, and severe damage, debris-flow disasters can easily result in the loss of human lives and cause serious damage to property and social infrastructure. In this study, taking the debris-flow events in Liaoning province from 1960 to 2020 as the study period, the natural geographical characteristics and key influencing factors of the debris-flow-prone areas were explored utilizing the self-organization mapping clustering method and nonlinear global sensitivity analysis. The main conclusions were as follows: (1) The key influencing factors of debris flow are the content of clay, sand, and silt; the first type of debris flow is sensitive to the fluctuation in slope and elevation; the second and third types of debris flows are more significantly affected by changes in land use and geomorphology; the third type of debris flow is weakly sensitive the NDVI value, vegetation type, slope direction, and soil type; (2) The first type of debris flow was widely distributed, mainly located in most of the hills of eastern and the southwest part of Liaoning province; the focus of the second type of debris flow focus was further in Xiuyan County and scattered in the hills of northeast Liaoning province; the third type of debris flow was mainly distributed on the peninsula of Liaodong and the southwest of Liaoning province. (3) When the clay content is 12–27%, sand content is 49–70%, silt content is 18–29%, the elevation is 0–500 m, the slope is 0°–30°, and the land use is at the junction of arable land, medium cover grassland, and forested land, etc., debris flow disasters are very likely to occur.

Suggested Citation

  • Fei Wang & Yongqiang Cao & Shuaibang Fan & Ruoning Zhang, 2022. "Study on the Identification and Classification of Key Influencing Factors of Debris-Flow-Prone Areas in Liaoning Province Based on Self-organizing Clustering and Sensitivity Analysis," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
  • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:412-:d:1016080
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    References listed on IDEAS

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    1. Yuzheng Wang & Lei Nie & Min Zhang & Hong Wang & Yan Xu & Tianyu Zuo, 2020. "Assessment of Debris Flow Risk Factors Based on Meta-Analysis—Cases Study of Northwest and Southwest China," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    2. Qinwen Li & Yafeng Lu & Yukuan Wang & Pei Xu, 2019. "Debris Flow Risk Assessment Based on a Water–Soil Process Model at the Watershed Scale Under Climate Change: A Case Study in a Debris-Flow-Prone Area of Southwest China," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
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