4.7 Article

Physically based modeling of rainfall-triggered landslides: a case study in the Luquillo forest, Puerto Rico

Journal

HYDROLOGY AND EARTH SYSTEM SCIENCES
Volume 17, Issue 9, Pages 3371-3387

Publisher

COPERNICUS GESELLSCHAFT MBH
DOI: 10.5194/hess-17-3371-2013

Keywords

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Funding

  1. National Aeronautics and Space Administration under NASA project [NNX07AD29G]
  2. Regional Sicilian Government (Italy)
  3. Division Of Earth Sciences
  4. Directorate For Geosciences [1331841] Funding Source: National Science Foundation

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This paper presents the development of a rainfall-triggered landslide module within an existing physically based spatially distributed ecohydrologic model. The model, tRIBS-VEGGIE (Triangulated Irregular Networks-based Real-time Integrated Basin Simulator and Vegetation Generator for Interactive Evolution), is capable of a sophisticated description of many hydrological processes; in particular, the soil moisture dynamics are resolved at a temporal and spatial resolution required to examine the triggering mechanisms of rainfall-induced landslides. The validity of the tRIBS-VEGGIE model to a tropical environment is shown with an evaluation of its performance against direct observations made within the study area of Luquillo Forest. The newly developed landslide module builds upon the previous version of the tRIBS landslide component. This new module utilizes a numerical solution to the Richards' equation (present in tRIBS-VEGGIE but not in tRIBS), which better represents the time evolution of soil moisture transport through the soil column. Moreover, the new landslide module utilizes an extended formulation of the factor of safety (FS) to correctly quantify the role of matric suction in slope stability and to account for unsaturated conditions in the evaluation of FS. The new modeling framework couples the capabilities of the detailed hydrologic model to describe soil moisture dynamics with the infinite slope model, creating a powerful tool for the assessment of rainfall-triggered landslide risk.

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