Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability
Abstract 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 geogra...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-09-01
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| Series: | International Journal of Disaster Risk Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s13753-023-00507-9 |
| _version_ | 1797682579659292672 |
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| author | Hu Jiang Qiang Zou Bin Zhou Yao Jiang Junfang Cui Hongkun Yao Wentao Zhou |
| author_facet | Hu Jiang Qiang Zou Bin Zhou Yao Jiang Junfang Cui Hongkun Yao Wentao Zhou |
| author_sort | Hu Jiang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-12T00:02:53Z |
| format | Article |
| id | doaj.art-1c4761bf143f468b836de29b2ce08b49 |
| institution | Directory Open Access Journal |
| issn | 2095-0055 2192-6395 |
| language | English |
| last_indexed | 2024-03-12T00:02:53Z |
| publishDate | 2023-09-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | International Journal of Disaster Risk Science |
| spelling | doaj.art-1c4761bf143f468b836de29b2ce08b492023-09-17T11:05:28ZengSpringerOpenInternational Journal of Disaster Risk Science2095-00552192-63952023-09-0114461863510.1007/s13753-023-00507-9Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope StabilityHu Jiang0Qiang Zou1Bin Zhou2Yao Jiang3Junfang Cui4Hongkun Yao5Wentao Zhou6Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences (CAS)Abstract 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.https://doi.org/10.1007/s13753-023-00507-9Physical-based modelQinghai–Tibet PlateauShallow landslideSusceptibility analysisVegetation effect |
| spellingShingle | Hu Jiang Qiang Zou Bin Zhou Yao Jiang Junfang Cui Hongkun Yao Wentao Zhou Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability International Journal of Disaster Risk Science Physical-based model Qinghai–Tibet Plateau Shallow landslide Susceptibility analysis Vegetation effect |
| title | Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability |
| title_full | Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability |
| title_fullStr | Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability |
| title_full_unstemmed | Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability |
| title_short | Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability |
| title_sort | estimation of shallow landslide susceptibility incorporating the impacts of vegetation on slope stability |
| topic | Physical-based model Qinghai–Tibet Plateau Shallow landslide Susceptibility analysis Vegetation effect |
| url | https://doi.org/10.1007/s13753-023-00507-9 |
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