Early warning of landslide hazard by integrating spatial statistical analysis methods to calculate the landslide susceptibility index in the Chen-Yu-Lan River watershed, Taiwan

• Main Authors: Thi-To-NganNguyen, 阮氏素銀
• Other Authors: Cheng-Chien Liu
• Format: Others
• Language: en_US
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/y5wsba

博士 === 國立成功大學 === 地球科學系 === 107 === Landslides are destructive geological processes that can cause extreme damage to infrastructure and loss of life. Since landslide occurrences is determined by both preparatory and trigger factors, a quantitative relationship among these factors is needed to assess landslide hazards. This study wants to understand the importance and correlation of these factors on landslides. The data such as landslide inventory map, DEM, geological map, and land-use were used to calculate landslide susceptibility index (LSI) and produce the LSI maps. Based on the historical landslide data (landslide data for eight years), the bivariate statistical analysis is used to measure the landslide density within different zones of the factors which are then further analyzed by the analytic hierarchy process (AHP) method to calculate the weight value of the factors. Furthermore, to examine the different effects of factor on landslides, the correlation analysis method is used to accomplish this work. In addition to, to look at the level of triggering factors’ impact on landslides, the data associated with Typhoon Kalmaegi and Typhoon Morakot are also analyzed during the process. Finally, some evaluation methods including the binary classification, the kappa index are employed to validate the LSI maps. The results of this work show the feasibility of planning and warning of high landslide probability zones.