Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1789-2019
https://doi.org/10.5194/nhess-19-1789-2019
Research article
 | 
15 Aug 2019
Research article |  | 15 Aug 2019

How size and trigger matter: analyzing rainfall- and earthquake-triggered landslide inventories and their causal relation in the Koshi River basin, central Himalaya

Jianqiang Zhang, Cees J. van Westen, Hakan Tanyas, Olga Mavrouli, Yonggang Ge, Samjwal Bajrachary, Deo Raj Gurung, Megh Raj Dhital, and Narendral Raj Khanal

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Cited articles

Ayalew, L. and Yamagishi, H.: The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan, Geomorphology, 65, 15–31, https://doi.org/10.1016/j.geomorph.2004.06.010, 2005. 
Bai, S., Wang, J., Lü, G. N., Zhou, P. G., Hou, S. S., and Xu, S. N.: GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China, Geomorphology, 115, 23–31, https://doi.org/10.1016/j.geomorph.2009.09.025, 2010. 
Burg, J. P., Guiraud, M., Chen, G. M., and Li, G. C.: Himalayan metamorphism and deformations in the North Himalayan Belt (southern Tibet, China), Earth Planet. Sc. Lett., 69, 391–400, https://doi.org/10.1016/0012-821x(84)90197-3, 1984. 
Chang, K. T., Chiang, S. H., and Hsu, M. L.: Modeling typhoon- and earthquake-induced landslides in a mountainous watershed using logistic regression, Geomorphology, 89, 335–347, https://doi.org/10.1016/j.geomorph.2006.12.011, 2007. 
Clauset, A., Shalizi, C. R., and Newman, M. E.: Power-law distributions in empirical data, SIAM Rev., 51, 661–703, https://doi.org/10.1137/070710111, 2009. 
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Short summary
The aim of this study is to investigate the differences in the mappable characteristics of earthquake-triggered and rainfall triggered landslides in terms of their frequency–area relationships, spatial distributions and relation with causal factors, as well as to evaluate whether separate susceptibility maps generated for specific landslide size and triggering mechanism are better than a generic landslide susceptibility assessment including all landslide sizes and triggers.
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