A Method for Debris Flows Hazard Assessment –A Case Study in Shenxi Gully | |
Yan Yu![]() ![]() ![]() ![]() | |
刊名 | Electronic Journal of Geotechnical Engineering
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2014 | |
卷号 | 19期号:Z2页码:9897-9904 |
关键词 | Back propagation neural network Geomorphic information entropy Debris flows |
ISSN号 | 1089-3032 |
通讯作者 | Guoqiang Ou |
英文摘要 | Debris flows belong to sudden disasters which are difficult to forecast. Consequently, a detailed and reasonable hazard assessment seems a necessary step to prevent or relieve such disasters and mitigate the risk effectively. In this paper, a method, combing back propagation neural network and geomorphic information entropy for debris flow hazard assessment, was proposed and employed to assess debris flow hazard of 41 sub-basins of Shenxi gully located in Sichuan province, China. The results indicate that the method is efficient and convenient for debris flows hazard assessment. |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.imde.ac.cn/handle/131551/8066] ![]() |
专题 | 成都山地灾害与环境研究所_山地灾害与地表过程重点实验室 |
推荐引用方式 GB/T 7714 | Yan Yu,Guoqiang Ou,Jun Wang,et al. A Method for Debris Flows Hazard Assessment –A Case Study in Shenxi Gully[J]. Electronic Journal of Geotechnical Engineering,2014,19(Z2):9897-9904. |
APA | Yan Yu,Guoqiang Ou,Jun Wang,&Cheng Qiao.(2014).A Method for Debris Flows Hazard Assessment –A Case Study in Shenxi Gully.Electronic Journal of Geotechnical Engineering,19(Z2),9897-9904. |
MLA | Yan Yu,et al."A Method for Debris Flows Hazard Assessment –A Case Study in Shenxi Gully".Electronic Journal of Geotechnical Engineering 19.Z2(2014):9897-9904. |
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