2016
DOI: 10.17533/udea.redin.n80a09
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A comparison of linear and nonlinear model performance of shia_landslide: a forecasting model for rainfall-induced landslides

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Cited by 2 publications
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“…For rural areas, the steady-state hydrologic model, SHALSTAB, was used with a digital elevation model (DEM) with a spatial resolution of 5 m; and for urban areas, a transitory model, TRIGRS, with a DEM of spatial resolution of 2 m. Both models allow incorporating rainfall directly in terms of intensity in their analysis, a key variable in the impact of CC in the landslide occurrence. The SHALSTAB model employs the hydrological model TOPOG [59] in steady-state conditions to establish a moisture pattern map based on the accumulated area, slope, and soil transmissivity of each point [35] where soil moisture is calculated as stated in Equation 1.…”
Section: Models Backgroundmentioning
confidence: 99%
“…For rural areas, the steady-state hydrologic model, SHALSTAB, was used with a digital elevation model (DEM) with a spatial resolution of 5 m; and for urban areas, a transitory model, TRIGRS, with a DEM of spatial resolution of 2 m. Both models allow incorporating rainfall directly in terms of intensity in their analysis, a key variable in the impact of CC in the landslide occurrence. The SHALSTAB model employs the hydrological model TOPOG [59] in steady-state conditions to establish a moisture pattern map based on the accumulated area, slope, and soil transmissivity of each point [35] where soil moisture is calculated as stated in Equation 1.…”
Section: Models Backgroundmentioning
confidence: 99%