Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability
文献类型:期刊论文
作者 | Jiang, Hu1,3; Zou, Qiang2,3; Zhou, Bin1,3; Jiang, Yao3; Cui, Junfang3; Yao, Hongkun1,3; Zhou, Wentao1,3 |
刊名 | INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE |
出版日期 | 2023-09-07 |
页码 | 18 |
ISSN号 | 2095-0055 |
关键词 | Physical-based model Qinghai-Tibet Plateau Shallow landslide Susceptibility analysis Vegetation effect |
DOI | 10.1007/s13753-023-00507-9 |
英文摘要 | This study aimed to develop a physical-based approach for predicting the spatial likelihood of shallow landslides at the regional scale in a transition zone with extreme topography. Shallow landslide susceptibility study in an area with diverse vegetation types as well as distinctive geographic factors (such as steep terrain, fractured rocks, and joints) that dominate the occurrence of shallow landslides is challenging. This article presents a novel methodology for comprehensively assessing shallow landslide susceptibility, taking into account both the positive and negative impacts of plants. This includes considering the positive effects of vegetation canopy interception and plant root reinforcement, as well as the negative effects of plant gravity loading and preferential flow of root systems. This approach was applied to simulate the regional-scale shallow landslide susceptibility in the Dadu River Basin, a transition zone with rapidly changing terrain, uplifting from the Sichuan Plain to the Qinghai-Tibet Plateau. The research findings suggest that: (1) The proposed methodology is effective and capable of assessing shallow landslide susceptibility in the study area; (2) the proposed model performs better than the traditional pseudo-static analysis method (TPSA) model, with 9.93% higher accuracy and 5.59% higher area under the curve; and (3) when the ratio of vegetation weight loads to unstable soil mass weight is high, an increase in vegetation biomass tends to be advantageous for slope stability. The study also mapped the spatial distribution of shallow landslide susceptibility in the study area, which can be used in disaster prevention, mitigation, and risk management. |
WOS关键词 | IZU-OSHIMA ; REGION ; ISLAND ; MODEL ; STRENGTH ; FOREST ; ROOTS ; STEEP ; AREA ; GIS |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23090303] ; National Natural Science Foundation of China[42171085] ; Light of West China Program of the Chinese Academy of Sciences[xbzg-zdsys-202104] ; Key R&D Project of Sichuan Provincial Department of Science and Technology[2023YFS0434] |
WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
语种 | 英语 |
出版者 | SPRINGER |
WOS记录号 | WOS:001063925800001 |
资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Light of West China Program of the Chinese Academy of Sciences ; Key R&D Project of Sichuan Provincial Department of Science and Technology |
源URL | [http://ir.imde.ac.cn/handle/131551/57602] |
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 成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室 |
通讯作者 | Zou, Qiang |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.China Pakistan Joint Res Ctr Earth Sci, Islamabad 45320, Pakistan 3.Chinese Acad Sci, Inst Mt Hazards & Environm IMHE, Key Lab Mt Hazards & Earth Surface Proc, Chengdu 610041, Peoples R China |
推荐引用方式 GB/T 7714 | Jiang, Hu,Zou, Qiang,Zhou, Bin,et al. Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability[J]. INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,2023:18. |
APA | Jiang, Hu.,Zou, Qiang.,Zhou, Bin.,Jiang, Yao.,Cui, Junfang.,...&Zhou, Wentao.(2023).Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability.INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE,18. |
MLA | Jiang, Hu,et al."Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability".INTERNATIONAL JOURNAL OF DISASTER RISK SCIENCE (2023):18. |
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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