中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院页岩气与地质工程重点实验室
Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm

文献类型：期刊论文

作者Li, Yanyan1; Wang, Honggang2; Chen, Jianping3; Shang, Yanjun1
刊名WATER
出版日期2017-09-01
卷号9期号:9
关键词debris flow susceptibility rock engineering system fuzzy C-means algorithm interaction
ISSN号2073-4441
DOI10.3390/w9090669
文献子类Article
英文摘要Debris flows in theWudongde dam area, China could pose a huge threat to the running of the power station. Therefore, it is of great significance to carry out a susceptibility analysis for this area. This paper presents an application of the rock engineering system and fuzzy C-means algorithm (RES_FCM) for debris flow susceptibility assessment. The watershed of the Jinsha River close to the Wudongde dam site in southwest China was taken as the study area, where a total of 22 channelized debris flow gullies were mapped by field investigations. Eight environmental parameters were selected for debris flow susceptibility assessment, namely, lithology, watershed area, slope angle, stream density, length of the main stream, curvature of the main stream, distance from fault and vegetation cover ratio. The interactions among these parameters and their weightings were determined using the RES method. A debris flow susceptibility map was produced by dividing the gullies into three categories of debris flow susceptibility based on the susceptibility index (SI) using the FCM algorithm. The results show that the susceptibility levels for nine of the debris flow gullies are high, nine are moderate and four are low, respectively. The RES based K-means algorithm (RES_KM) was used for comparison. The results suggest that the RES_FCM method and the RES_KM method provide very close evaluation results for most of the debris flow gullies, which also agree well with field investigations. The prediction accuracy of the new method is 90.9%, larger than that obtained by the RES_KM method (86.4%). Therefore, the RES_FCM method performs better than the RES_KM method for assessing the susceptibility of debris flows.
WOS关键词ANALYTICAL HIERARCHY PROCESS ; LANDSLIDE SUSCEPTIBILITY ; LOGISTIC-REGRESSION ; NEURAL-NETWORKS ; PREDICTION ; MODEL ; SCALE ; SOUTHWEST ; CALABRIA
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000411567200042
出版者MDPI AG
资助机构National Natural Science Foundation of China (NSFC)(41602327 ; China Postdoctoral Science Foundation(2015M580135) ; 41372324) ; National Natural Science Foundation of China (NSFC)(41602327 ; China Postdoctoral Science Foundation(2015M580135) ; 41372324) ; National Natural Science Foundation of China (NSFC)(41602327 ; China Postdoctoral Science Foundation(2015M580135) ; 41372324) ; National Natural Science Foundation of China (NSFC)(41602327 ; China Postdoctoral Science Foundation(2015M580135) ; 41372324)
源URL[http://ir.iggcas.ac.cn/handle/132A11/61960]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Li, Yanyan
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
2.Cent Southern China Elect Power Design Inst Co Lt, CPECC, Wuhan 430071, Hubei, Peoples R China
3.Jilin Univ, Coll Construct Engn, Changchun 130026, Jilin, Peoples R China
推荐引用方式
GB/T 7714		 Li, Yanyan,Wang, Honggang,Chen, Jianping,et al. Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm[J]. WATER,2017,9(9).
APA Li, Yanyan,Wang, Honggang,Chen, Jianping,&Shang, Yanjun.(2017).Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm.WATER,9(9).
MLA Li, Yanyan,et al."Debris Flow Susceptibility Assessment in the Wudongde Dam Area, China Based on Rock Engineering System and Fuzzy C-Means Algorithm".WATER 9.9(2017).

入库方式： OAI收割

来源：地质与地球物理研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。