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A Physically Based Model for the Sequential Evolution Analysis of Rainfall-Induced Shallow Landslides in a Catchment

文献类型：期刊论文

作者Jiang, Yuanjun3; Hu, Xiaobo2,3; Liang, Heng3; Ning, Po3; Fan, Xiaoyi1
刊名WATER RESOURCES RESEARCH
出版日期2023-05-01
卷号59期号:5页码:25
关键词shallow landslides LHT model SWAT model debris flow antecedent rainfall
ISSN号0043-1397
DOI10.1029/2022WR032716
通讯作者Hu, Xiaobo(huxiaobo@imde.ac.cn)
英文摘要Predicting the occurrence time, volume, distribution and run-out length of shallow landslides is critical for assessing the volume of debris flow in a catchment. Recent studies suggest that the landslides hydro-mechanical triggering (LHT) model based on threshold-based mechanical interactions can adequately predict rainfall-induced landslides. However, this model assumes that the soil-rock interface is the only sliding surface and cannot dynamically determine a sliding surface above the soil-rock interface. Therefore, by calculating the wetting front depth in the shallow soil layer and using the limit analysis method, the most likely sliding surface can be dynamically calculated to improve the model. Through linking the Soil and Water Assessment Tool (SWAT, USDA) model and the depth-resolved LHT model (D-LHT), a framework for predicting shallow landslides in a catchment was proposed in this work. This framework considers the effects of antecedent rainfall, the mechanical reinforcement of roots, and the spatial distribution of soil properties on slopes. The D-LHT model was applied to the Jiangjia gully in Yunnan, China, to adequately predicted the occurrence time, scale and spatial distribution of shallow landslides. In addition, the present and antecedent rainfall effects on the shallow landslide volume were analyzed. The results showed that the average soil moisture content threshold was determined by antecedent and same-day rainfall, which affect the timing and volume of the shallow landslides. This study provides a new method for predicting shallow landslides. The stability and simplicity of the model make it suitable for early warning systems.
WOS关键词ANTECEDENT RAINFALL ; SPATIAL VARIABILITY ; DURATION CONTROL ; THRESHOLD ; INITIATION ; INTENSITY ; STRENGTH ; WATER ; SUSCEPTIBILITY ; INSTABILITY
资助项目Science and Technology Research Program of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090202] ; International Science & Technology Cooperation Program of China[2018YFE0100100] ; National Natural Science Foundation of China[42172320] ; National Natural Science Foundation of China[41877524]
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
语种英语
WOS记录号WOS:001000293000001
出版者AMER GEOPHYSICAL UNION
资助机构Science and Technology Research Program of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; International Science & Technology Cooperation Program of China ; National Natural Science Foundation of China
源URL[http://ir.imde.ac.cn/handle/131551/57428]  
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, Xiaobo
作者单位1.Southwest Petr Univ, Sch Civil Engn & Geomat, Chengdu, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Mt Hazards & Environm, Key Lab Mt Hazards & Surface Proc, Chengdu, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Yuanjun,Hu, Xiaobo,Liang, Heng,et al. A Physically Based Model for the Sequential Evolution Analysis of Rainfall-Induced Shallow Landslides in a Catchment[J]. WATER RESOURCES RESEARCH,2023,59(5):25.
APA Jiang, Yuanjun,Hu, Xiaobo,Liang, Heng,Ning, Po,&Fan, Xiaoyi.(2023).A Physically Based Model for the Sequential Evolution Analysis of Rainfall-Induced Shallow Landslides in a Catchment.WATER RESOURCES RESEARCH,59(5),25.
MLA Jiang, Yuanjun,et al."A Physically Based Model for the Sequential Evolution Analysis of Rainfall-Induced Shallow Landslides in a Catchment".WATER RESOURCES RESEARCH 59.5(2023):25.

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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