Articles | Volume 20, issue 5
Nat. Hazards Earth Syst. Sci., 20, 1287–1304, 2020
https://doi.org/10.5194/nhess-20-1287-2020

Special issue: Resilience to risks in built environments

Nat. Hazards Earth Syst. Sci., 20, 1287–1304, 2020
https://doi.org/10.5194/nhess-20-1287-2020

Research article 14 May 2020

Research article | 14 May 2020

Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy C-means algorithm, factor analysis and efficacy coefficient

Zhu Liang et al.

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Cited articles

Aguilar, O. and West, M.: Bayesian dynamic factor models and portfolio allocation, J. Bus. Econ. Stat., 18, 338–357, 2000. 
Benda, L. E. and Cundy, T. W.: Predicting deposition of debris flows in mountain channels, Can. Geotech. J., 27, 409–417, 1990. 
Bezdek, J. C.: Pattern recognition with fuzzy objective function algorithms, in: IEEE Electrical Insulation Magazine, Plenum Press, New York, 1981. 
Blais-Stevens, A. and Behnia, P.: Debris flow susceptibility mapping using a qualitative heuristic method and Flow-R along the Yukon Alaska Highway Corridor, Canada, Nat. Hazards Earth Syst. Sci., 16, 449–462, https://doi.org/10.5194/nhess-16-449-2016, 2016. 
Brayshaw, D. and Hassan, M. A.: Debris flow initiation and sediment recharge in gullies, Geomorphology, 109, 122–131, 2009. 
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Short summary
The present study built a semi-quantitative classification and susceptibility assessment method for a study area, combining multiple mathematical methods and 3S technologies. The results have been verified with field investigation and other evaluation methods. Different methods have their own advantages and disadvantages, and some methods are complementary to a certain extent, so it is desirable to enhance the rationality of the application through the combination of multiple methods.
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