4.7 Article

Hydrologic-geotechnical modelling of shallow landslide and flood hazards caused by heavy rainfall

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ENGINEERING GEOLOGY
卷 323, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.enggeo.2023.107184

关键词

Surface flow; Rainfall infiltration; Slope stability; Shallow landslide

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This study introduces a catchment-scale, multihazard approach to assess landslides and flooding caused by heavy rainfall. By combining hydrological and geotechnical principles, the model successfully simulates the hydrologic and geotechnical response of the catchment, providing a practical framework for a unified early warning system for landslide and flood-prone areas.
Landslides and flooding are two of the most common hazards associated with heavy rainfall. Most studies, however, tackle the occurrence of these hazards separately or independently. Therefore, this study introduces a catchment-scale, multihazard approach that unifies the assessment of both phenomena through a combination of hydrological and geotechnical principles. By incorporating surface flow, infiltration, and slope stability analyses, the spatio-temporal response of both landslides and flooding during intense or heavy rainfall is characterized. To improve computational efficiency, a hybrid approach, consisting of the zero-and local-inertia flow models, is introduced to approximate the surface flow. Additionally, rainfall infiltration is estimated using the one-dimensional Green-Ampt model, and the results are incorporated in a deterministic slope stability analysis whose failure mechanism is generated from the forces arising from the effects of surface flow and the downward propagation of water along the assumed failure surface. The model is applied in the catchment of Marumori Town, Japan which suffered numerous landslide and flooding disasters during Typhoon Hagibis in 2019. The results indicate that the proposed model successfully simulates the hydrologic and geotechnical response of the catchment showing the distribution of both unstable slopes and inundated areas indicative of landslide and flooding hazards. The model's capability to identify the timing and location of potential landslide and flood -prone areas could provide a practical framework for a unified early warning system, enhancing emergency planning and response efforts during heavy rainfall.

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