Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability

作者：Hu Jiang, Qiang Zou, Bin Zhou, Yao Jiang, Junfang Cui, Hongkun Yao, Wentao Zhou · 发表于：International Journal of Disaster Risk Science · 年份：2023 · DOI：10.1007/s13753-023-00507-9 · 被引用次数：24 · 研究领域：Tree Root and Stability Studies、Landslides and related hazards、Plant responses to water stress

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 b...