New debris flow critical rainfall line setting via cluster analysis and support vector machine after the Chi-Chi huge earthquake
學年 105
學期 2
出版（發表）日期 2017-07-29
作品名稱 New debris flow critical rainfall line setting via cluster analysis and support vector machine after the Chi-Chi huge earthquake
作品名稱（其他語言）
著者 Yuan-Fang Tsai; Chun-Hsiang Chan; Keng-Han Lin; Wen-Ray Su; Jinn-Chyi Chen
單位
出版者
著錄名稱、卷期、頁數 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, p.1005-1010
摘要 The Chi-Chi huge earthquake occurred in Taiwan in 1999 and it caused landslides and debris flows, which brought about considerable loss of life and property. To help prevent damage by debris flows, it is necessary to establish a new critical rainfall line of debris flow. Following the Chi-Chi huge earthquake, the rainfall threshold of debris flow streams in Taiwan was ostensibly reduced. To comprehend these changes, this study used a four-year (1999-2003) dataset of 79 debris flow events, and it adopted the family competition genetic algorithm as a clustering method to merge rainfall data of streams based on similar characteristics. In addition, 8 predisposing features for debris flows were used to cluster 377 streams with similar predisposing features into 7 groups, and this study used a family competition genetic algorithm. Then, this study apply the support vector machine (SVM) for establishing new critical rainfall lines. Experimental results confirmed that the FCGA and the SVM method performed well in setting a new critical rainfall line.
關鍵字 cluster analysis;support vector machine;debris flow;critical rainfall line;earthquake
語言 en
ISSN
期刊性質 國外
收錄於 EI
產學合作
通訊作者 Yuan-Fang Tsai
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121783 )