Articles | Volume 20, issue 5
Nat. Hazards Earth Syst. Sci., 20, 1321–1334, 2020
https://doi.org/10.5194/nhess-20-1321-2020

Special issue: Advances in extreme value analysis and application to natural...

Nat. Hazards Earth Syst. Sci., 20, 1321–1334, 2020
https://doi.org/10.5194/nhess-20-1321-2020

Research article 18 May 2020

Research article | 18 May 2020

A multivariate statistical method for susceptibility analysis of debris flow in southwestern China

Feng Ji et al.

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Cited articles

Beguería, S., Van Asch, T. W., Malet, J. P., and Gröndahl, S.: A GIS-based numerical model for simulating the kinematics of mud and debris flows over complex terrain, Nat. Hazards Earth Syst. Sci., 9, 1897–1909, https://doi.org/10.5194/nhess-9-1897-2009, 2009. 
Bertrand, M., Liébault, F., and Piégay, H.: Debris-flow susceptibility of upland catchments, Nat. Hazards, 67, 497–511, https://doi.org/10.1007/s11069-013-0575-4, 2013. 
Blahut, J., van Westen, C. J., and Sterlacchini, S.: Analysis of landslide inventories for accurate prediction of debris-flow source areas, Geomorphology, 119, 36–51, https://doi.org/10.1016/j.geomorph.2010.02.017, 2010. 
Brayshaw, D. and Hassan, M. A.: Debris flow initiation and sediment recharge in gullies, Geomorphology, 109, 122–131, https://doi.org/10.1016/j.geomorph.2009.02.021, 2009. 
Cama, M., Lombardo, L., Conoscenti, C., and Rotigliano, E.: Improving transferability strategies for debris flow susceptibility assessment: Application to the Saponara and Itala catchments (Messina, Italy), Geomorphology, 288, 52–65, https://doi.org/10.1016/j.geomorph.2017.03.025, 2017. 
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Short summary
Southwest China is a severe disaster zone in terms of debris flow. To analyze the susceptibility to debris flows in this area, this study evaluates 70 typical debris flow gullies as statistical samples and proposes an empirical model based on quantification theory. A total of 10 debris flow gullies on the upstream of the Dadu River are analyzed to verify the reliability of the proposed model. The results show that the accuracy of the statistical model is 90 %.
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