Articles | Volume 13, issue 9
Nat. Hazards Earth Syst. Sci., 13, 2353–2367, 2013
https://doi.org/10.5194/nhess-13-2353-2013
Nat. Hazards Earth Syst. Sci., 13, 2353–2367, 2013
https://doi.org/10.5194/nhess-13-2353-2013

Research article 25 Sep 2013

Research article | 25 Sep 2013

Integrating spatial, temporal, and size probabilities for the annual landslide hazard maps in the Shihmen watershed, Taiwan

C. Y. Wu and S. C. Chen C. Y. Wu and S. C. Chen
  • Department of Soil and Water Conservation, National Chung-Hsing University, Taichung 40227, Taiwan

Abstract. Landslide spatial, temporal, and size probabilities were used to perform a landslide hazard assessment in this study. Eleven intrinsic geomorphological, and two extrinsic rainfall factors were evaluated as landslide susceptibility related factors as they related to the success rate curves, landslide ratio plots, frequency distributions of landslide and non-landslide groups, as well as probability–probability plots. Data on landslides caused by Typhoon Aere in the Shihmen watershed were selected to train the susceptibility model. The landslide area probability, based on the power law relationship between the landslide area and a noncumulative number, was analyzed using the Pearson type 5 probability density function. The exceedance probabilities of rainfall with various recurrence intervals, including 2, 5, 10, 20, 50, 100 and 200 yr, were used to determine the temporal probabilities of the events. The study was conducted in the Shihmen watershed, which has an area of 760 km2 and is one of the main water sources for northern Taiwan. The validation result of Typhoon Krosa demonstrated that this landslide hazard model could be used to predict the landslide probabilities. The results suggested that integration of spatial, area, and exceedance probabilities to estimate the annual probability of each slope unit is feasible. The advantage of this annual landslide probability model lies in its ability to estimate the annual landslide risk, instead of a scenario-based risk.

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