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. 成都山地灾害与环境研究所
  3. 中国科学院水利部成都山地灾害与环境研究所
  4. 山地灾害与地表过程重点实验室
Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine

文献类型：期刊论文

作者Di, Baofeng1,2; Zhang, Hanyue2; Liu, Yongyao2; Li, Jierui2; Chen, Ningsheng3; Stamatopoulos, Constantine A.4,5; Luo, Yuzhou6; Zhan, Yu2,7,8
刊名SCIENTIFIC REPORTS
出版日期2019-08-29
卷号9页码:12
ISSN号2045-2322
DOI10.1038/s41598-019-48986-5
通讯作者Zhan, Yu(yzhan@scu.edu.cn)
英文摘要A gradient boosting machine (GBM) was developed to model the susceptibility of debris flow in Sichuan, Southwest China for risk management. A total of 3839 events of debris flow during 1949-2017 were compiled from the Sichuan Geo-Environment Monitoring program, field surveys, and satellite imagery interpretation. In the cross-validation, the GBM showed better performance, with the prediction accuracy of 82.0% and area under curve of 0.88, than the benchmark models, including the Logistic Regression, the K-Nearest Neighbor, the Support Vector Machine, and the Artificial Neural Network. The elevation range, precipitation, and aridity index played the most important role in determining the susceptibility. In addition, the water erosion intensity, road construction, channel gradient, and human settlement sites also largely contributed to the formation of debris flow. The susceptibility map produced by the GBM shows that the spatial distributions of high-susceptibility watersheds were highly coupled with the locations of the topographical extreme belt, fault zone, seismic belt, and dry valleys. This study provides critical information for risk mitigating and prevention of debris flow.
WOS关键词HAZARD ASSESSMENT ; WENCHUAN EARTHQUAKE ; SICHUAN PROVINCE ; MEDIUM-SCALE ; RISK ; AREA ; GIS ; PREDICTION ; INTENSITY ; MODEL
资助项目Natural Science Foundation of China[41977245] ; National Key R&D Program of China[2017YFC1502903] ; Fundamental Research Funds for the Central Universities[YJ201765] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090502]
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PUBLISHING GROUP
WOS记录号WOS:000483017100011
资助机构Natural Science Foundation of China ; National Key R&D Program of China ; Fundamental Research Funds for the Central Universities ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.imde.ac.cn/handle/131551/26960]  
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
通讯作者Zhan, Yu
作者单位1.Hongkong Polytech Univ, Inst Disaster Management & Reconstruct, Sichuan Univ, Chengdu 610200, Sichuan, Peoples R China
2.Sichuan Univ, Dept Environm Sci & Engn, Chengdu 610065, Sichuan, Peoples R China
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Chengdu 610041, Sichuan, Peoples R China
4.Stamatopoulos & Associates Co, Athens 11471, Greece
5.Hellen Open Univ, Athens 11471, Greece
6.Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
7.Sichuan Univ, Sinogerman Ctr Water & Hlth Res, Chengdu 610065, Sichuan, Peoples R China
8.Sichuan Univ, Med Big Data Ctr, Chengdu 610041, Sichuan, Peoples R China
推荐引用方式
GB/T 7714		 Di, Baofeng,Zhang, Hanyue,Liu, Yongyao,et al. Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine[J]. SCIENTIFIC REPORTS,2019,9:12.
APA Di, Baofeng.,Zhang, Hanyue.,Liu, Yongyao.,Li, Jierui.,Chen, Ningsheng.,...&Zhan, Yu.(2019).Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine.SCIENTIFIC REPORTS,9,12.
MLA Di, Baofeng,et al."Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine".SCIENTIFIC REPORTS 9(2019):12.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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。