Shou Hao Chiang

TL;DR: In this paper, the authors used landslides triggered by a major earthquake and a typhoon prior to the earthquake to develop an earthquake-induced model and a Typhoon-triggered model.

TL;DR: In this paper, a method to select a global climate model from 21 available GCMs and correct its monthly precipitation data, before downscaling annual maximum (24-h) rainfall from the corrected GCM data as input to the factor-of-safety model for landslide prediction.

TL;DR: In this article, the authors proposed a method that combines a deterministic slope stability model and a statistical model for predicting rainfall-induced landslides, which had a modified success rate of 84.0% for predicting landslides and stable areas.

TL;DR: In this paper, the authors present a new and innovative method for incorporating rainfall into landslide modelling and prediction, which involves compiling radar reflectivity data in a QPESUMS (quantitative precipitation estimation and segregation using multiple sensors) system during a typhoon (tropical hurricane) event, estimating rainfall from radar data and using rainfall intensity and rainfall duration as explanatory variables to develop a landslide logit model.

TL;DR: In this article, the authors present six new comprehensive landslide event inventories coincident with well identified rainfall events and study their statistical properties and their relations to topographic slope distribution and storm properties.