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Assessing Susceptibility of Debris Flow in Southwest China Using Gradient Boosting Machine
Di, Baofeng1,2; Zhang, Hanyue2; Liu, Yongyao2; Li, Jierui2; Chen, Ningsheng3; Stamatopoulos, Constantine A.4,5; Luo, Yuzhou6; Zhan, Yu2,7,8
Corresponding AuthorZhan, Yu(yzhan@scu.edu.cn)
2019-08-29
Source PublicationSCIENTIFIC REPORTS
ISSN2045-2322
Volume9Pages:12
AbstractA 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.
DOI10.1038/s41598-019-48986-5
Indexed BySCI
WOS KeywordHAZARD ASSESSMENT ; WENCHUAN EARTHQUAKE ; SICHUAN PROVINCE ; MEDIUM-SCALE ; RISK ; AREA ; GIS ; PREDICTION ; INTENSITY ; MODEL
Language英语
Funding ProjectNatural 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 Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000483017100011
Funding OrganizationNatural 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
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/26960
Collection山地灾害与地表过程重点实验室
Corresponding AuthorZhan, Yu
Affiliation1.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
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
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.
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