| Summary: | 碩士 === 國立嘉義大學 === 土木與水資源工程學系研究所 === 106 === In order to more accurately assess the rainfall-induced shallow landslide and achieve the purpose of disaster mitigation, this study applied a physically-based shallow landslide model and consider rainfall pattern uncertainty to investigate the influence of vegetation on estimating shallow landslide probability of impervious hillslope for various amount and duration of rainfall. The used physically-based shallow landslide model can evaluate the combined effect of vegetation on soil cohesion and hydraulic conductivity. The simulation results showed that the reinforcement of soil shear strength and the enhancement of hydraulic conductivity due to the vegetation effect will reduce and increase shallow landslide probability, respectively. In addition, the effect of vegetation on estimating shallow landslide probability is related to soil and root parameters. The shallow landslide probability estimation is significantly affected by whether the vegetation root penetrates into the bottom of shallow hillslope. The curve of relationship between shallow landslide probability, rainfall amount, and rainfall duration with considering rainfall pattern uncertainty and vegetation effect can be used to more conveniently and reasonably assess shallow landslide potential. In addition, the accurate local geological condition, hydrological condition, and vegetation condition can avoid the overestimation or underestimation of shallow landslide probability.
|
|---|
