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  4. 山地灾害与地表过程重点实验室
A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation

文献类型：期刊论文

作者Yan Yan1,3; Zhang Yu4; Hu Wang4; Guo Xiao-jun6; Ma Chao5; Wang Zi-ang1; Zhang Qun2
刊名JOURNAL OF MOUNTAIN SCIENCE
出版日期2020-07-15
页码14
ISSN号1672-6316
关键词Debris flow Critical rainfall thresholds Multiobjective evolutionary optimization Artificial neural network Pareto optimality
DOI10.1007/s11629-019-5812-1
通讯作者Hu Wang(huwang@uestc.edu.cn)
英文摘要At present, most researches on the critical rainfall threshold of debris flow initiation use a linear model obtained through regression. With relatively weak fault tolerance, this method not only ignores nonlinear effects but also is susceptible to singular noise samples, which makes it difficult to characterize the true quantization relationship of the rainfall threshold. Besides, the early warning threshold determined by statistical parameters is susceptible to negative samples (samples where no debris flow has occurred), which leads to uncertainty in the reliability of the early warning results by the regression curve. To overcome the above limitations, this study develops a data-driven multiobjective evolutionary optimization method that combines an artificial neural network (ANN) and a multiobjective evolutionary optimization implemented by particle swarm optimization (PSO). Firstly, the Pareto optimality method is used to represent the nonlinear and conflicting critical thresholds for the rainfall intensityIand the rainfall durationD.An ANN is used to construct a dual-target (dual-task) predictive surrogate model, and then a PSO-based multiobjective evolutionary optimization algorithm is applied to train the ANN and stochastically search the trained ANN for obtaining the Pareto front of theI-Dsurrogate prediction model, which is intended to overcome the limitations of the existing linear regression-based threshold methods. Finally, a double early warning curve model that can effectively control the false alarm rate and negative alarm rate of hazard warnings are proposed based on the decision space and target space maps. This study provides theoretical guidance for the early warning and forecasting of debris flows and has strong applicability.
WOS关键词INTENSITY-DURATION THRESHOLDS ; SHALLOW LANDSLIDES ; VIBRATION SIGNAL ; RISK-ASSESSMENT ; WASTE LANDFILL ; HIDDEN NODES ; RIVER-BASIN ; EARTHQUAKE ; NETWORKS ; PYRENEES
资助项目Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0906] ; National Natural Science Foundation of China[41901008] ; National Natural Science Foundation of China[61976046] ; National Key R&D Program of China[2017YFC1502504] ; Fundamental Research Funds for the Central Universities[2682018CX05] ; Beijing Municipal Science and Technology Project[Z191100001419015] ; China Scholarship Council
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000548813000002
资助机构Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; National Natural Science Foundation of China ; National Key R&D Program of China ; Fundamental Research Funds for the Central Universities ; Beijing Municipal Science and Technology Project ; China Scholarship Council
源URL[http://ir.imde.ac.cn/handle/131551/35118]  
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Hu Wang
作者单位1.Southwest Jiaotong Univ, MOE Sch Civil Engn, Key Lab High Speed Railway Engn, Chengdu 610031, Peoples R China
2.Sichuan Inst Land & Space Ecol Restorat & Geol Ha, Chengdu 610081, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu 611731, Peoples R China
5.Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China
6.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Surface Proc & Hazards, Chengdu 610041, Peoples R China
推荐引用方式
GB/T 7714		 Yan Yan,Zhang Yu,Hu Wang,et al. A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation[J]. JOURNAL OF MOUNTAIN SCIENCE,2020:14.
APA Yan Yan.,Zhang Yu.,Hu Wang.,Guo Xiao-jun.,Ma Chao.,...&Zhang Qun.(2020).A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation.JOURNAL OF MOUNTAIN SCIENCE,14.
MLA Yan Yan,et al."A multiobjective evolutionary optimization method based critical rainfall thresholds for debris flows initiation".JOURNAL OF MOUNTAIN SCIENCE (2020):14.

入库方式： OAI收割

来源：成都山地灾害与环境研究所

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