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Susceptibility Assessment of Single Gully Debris Flow Based on AHP and Extension Method

Author(s):






Medium: journal article
Language(s): English
Published in: Civil Engineering Journal, , n. 6, v. 7
Page(s): 953-973
DOI: 10.28991/cej-2021-03091702
Abstract:

Debris flow mainly happens in mountainous areas all around the world with deadly social and economic impacts. With the speedy development of the mountainous economy, the debris flow susceptibility evaluation in the mountainous areas is of crucial importance for the safety of mountainous life and economy. Yunnan province of China is one of the worst hitting areas by debris flow in the world. In this paper, debris flow susceptibility assessment of Datong and Taicun gully near the first bend of Jinsha River has been done with the help of site investigation and GIS and remote sensing techniques. Eight causative factors, including slope, topographic wetness index, sediments transport index, ground roughness, basin area, bending coefficient, source material, and normalised difference vegetation index, have been selected for debris flow susceptibility evaluation. Analytical hierarchy process combined with Extension method has been used to calculate the susceptibility level of Datong and Taicun gullies. The evaluation result shows that both the gullies have a moderate susceptibility to debris flow. The result suggests that all the ongoing engineering projects such as mining and road construction work should be done with all precautionary measures, and the excavated material should adequately store in the gullies. 

Copyright: © 2021 Qaiser Mehmood, Wang Qing, Jianping Chen, Jianhua Yan, Muhammad Ammar, Gohar Rahman, Nasrullah .
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

  • About this
    data sheet
  • Reference-ID
    10610613
  • Published on:
    08/06/2021
  • Last updated on:
    10/06/2021
 
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