GIS-based Evaluation on the Fault Motion-Induced Coseismic Landslides

作     者：Ming-Wey HUANG Chien-Yuan CHEN Tzu-Hsiu WU Chi-Ling CHANG Sheu-Yien LIU Ching-Yun KAO 

作者机构：Taiwan Science & Technology Center for Disaster Reduction Sindian City Taipei County 231 Chinese Taipei Taiwan Chiayi University Department of Civil & Water Resources Engineering Chiayi City 60004 Chinese Taipei Chia Nan University of Pharmacy and Science Institute of Industrial Safety & Disaster Prevention Tainan City 71710 Chinese Taipei 

出 版 物：《Journal of Mountain Science》 (山地科学学报（英文）)

年 卷 期：2012年第9卷第5期

页      面：601-612页

核心收录：

学科分类：081803[工学-地质工程] 070801[理学-固体地球物理学] 07[理学] 08[工学] 0818[工学-地质资源与地质工程] 0708[理学-地球物理学] 

基　　金：supported in part by the Taiwan Science & Technology Center for Disaster Reduction of Chinese Taipei 

主　　题：Coseismic landslide GIS Chi-Chiearthquake 

摘      要：Earthquake-induced potential landslides are commonly estimated using landslide susceptibility maps. Nevertheless, the fault location is not identified and the ground motion caused by it is unavailable in the map. Thus, potential coseismic landslides for a specific fault motion-induced earthquake could not be predicted using the map. It is meaningful to incorporate the fault location and ground motion characteristics into the landslide predication model. A new method for a specific fault motion-induced coseismic landslide prediction model using GIS （Geographic Information System） is proposed herein. Location of mountain ridges, slope gradients over 45~, PVGA （Peak Vertical Ground Accelerations） exceeded o.15 g, and PHGA （Peak Horizontal Ground Accelerations） exceeded o.25 g of slope units were representing locations that initiated landslides during the 1999 Chi-Chi earthquake in Taiwan. These coseismic landslide characteristics were used to identify areas where landslides occurred during Meishan fault motion-induced strong ground motions in Chiayi County in Taiwan. The strong ground motion （over 8 Gal in the database, 1 Gal = 0.0l m/s2, and 1 g = 981 GaD characteristics were evaluated by the fault length, site distance to the fault, and topography, and their attenuation relations are presented in GIS. The results of the analysis show that coseismic landslide areas could be identified promptly using GIS. The earthquake intensity and focus depthhave visible effects on ground motion. The shallower the focus depth, the larger the magnitude increase of the landslides. The GIS-based landslide predication method is valuable combining the geomorphic characteristics and ground motion attenuation relationships for a potential region landslide hazard assessment and in disaster mitigation planning.