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www.hydrol-earth-syst-sci-discuss.net/7/725/2010/
doi:10.5194/hessd-7-725-2010
© Author(s) 2010. This work is distributed
under the Creative Commons Attribution 3.0 License.
Probabilistic modelling of rainfall induced landslide hazard assessment
1Division of Environmental System Management, Faculty of Symbiotic Systems Science, Fukushima University, 1, Kanayagawa, Fukushima, 960-1296, Japan
2Department of Civil Engineering, Tohoku University, 6-6-06, Aramaki aza aoba, Aoba ku, Sendai, 980-8579, Japan
3Department of Civil Engineering, Curtin University of Technology, GPO Box U1987, Perth, WA 6845, Australia
Abstract. To evaluate the frequency and distribution of landslides hazards over Japan, this study uses a probabilistic model based on multiple logistic regression analysis. Study particular concerns several important physical parameters such as hydraulic parameters, geographical parameters and the geological parameters which are considered to be influential in the occurrence of landslides. Sensitivity analysis confirmed that hydrological parameter (hydraulic gradient) is the most influential factor in the occurrence of landslides. Therefore, the hydraulic gradient is used as the main hydraulic parameter; dynamic factor which includes the effect of heavy rainfall and their return period. Using the constructed spatial data-sets, a multiple logistic regression model is applied and landslide susceptibility maps are produced showing the spatial-temporal distribution of landslide hazard susceptibility over Japan. To represent the susceptibility in different temporal scales, extreme precipitation in 5 years, 30 years, and 100 years return periods are used for the evaluation. The results show that the highest landslide hazard susceptibility exists in the mountain ranges on the western side of Japan (Japan Sea side), including the Hida and Kiso, Iide and the Asahi mountainous range, the south side of Chugoku mountainous range, the south side of Kyusu mountainous and the Dewa mountainous range and the Hokuriku region. The developed landslide hazard susceptibility maps in this study will assist authorities, policy makers and decision makers, who are responsible for infrastructural planning and development, as they can identify landslide-susceptible areas and thus decrease landslide damage through proper preparation.
Discussion Paper (PDF, 3482 KB) Interactive Discussion (Closed, 6 Comments) Final Revised Paper (HESS)
Citation: Kawagoe, S., Kazama, S., and Sarukkalige, P. R.: Probabilistic modelling of rainfall induced landslide hazard assessment, Hydrol. Earth Syst. Sci. Discuss., 7, 725-766, doi:10.5194/hessd-7-725-2010, 2010. Bibtex EndNote Reference Manager XML
