中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessment of debris flow hazards using a Bayesian network

文献类型:期刊论文

作者Liang, WJ ; Zhuang, DF ; Jiang, D ; Pan, JJ ; Ren, HY
刊名GEOMORPHOLOGY
出版日期2012
卷号171页码:94-100
通讯作者Jiang, D
英文摘要Comprehensive assessment of debris flow hazard risk is challenging due to the complexity and uncertainties of various related factors. A reasonable and reliable assessment should be based on sufficient data and realistic approaches. This study presents a novel appeoach for assessing debris flow hazard risk using BN (Bayesian Network) and domain knowledge. Based on the records of debris flow hazards and geomorphological/environmental data for the Chinese mainland, approaches based on BN, SVM (Support Vector Machine) and ANN (Artificial Neural Network) were compared. BN provided the highest values of hazard detection probability, precision, and AUC (area under the receiver operating characteristic curve). The BN model is useful for mapping and assessing debris flow hazard risk on a national scale.
收录类别SCI
资助信息Ministry of Science and Technology of China 2008BAK50B01 201208018;National Natural Science Foundation of China 40830637
语种英语
公开日期2012-11-07
源URL[http://ir.igsnrr.ac.cn/handle/311030/27017]  
专题地理科学与资源研究所_研究生部
推荐引用方式
GB/T 7714
Liang, WJ,Zhuang, DF,Jiang, D,et al. Assessment of debris flow hazards using a Bayesian network[J]. GEOMORPHOLOGY,2012,171:94-100.
APA Liang, WJ,Zhuang, DF,Jiang, D,Pan, JJ,&Ren, HY.(2012).Assessment of debris flow hazards using a Bayesian network.GEOMORPHOLOGY,171,94-100.
MLA Liang, WJ,et al."Assessment of debris flow hazards using a Bayesian network".GEOMORPHOLOGY 171(2012):94-100.

入库方式: OAI收割

来源:地理科学与资源研究所

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