Modeling regional landslide susceptibility using dynamic soil moisture profiles
A landslide susceptibility mapping study was performed using dynamic hillslope hydrology. The modified infinite slope stability model that directly includes vadose zone soil moisture (SM) was applied at Cleveland Corral, California, US and Krishnabhir, Dhading, Nepal. The variable infiltration capacity (VIC-3L) model simulated vadose zone soil moisture and the wetness index hydrologic model simulated groundwater (GW). The GW model predictions had a 75% NASH-Sutcliffe efficiency when compared to California’s in-situ GW measurements. The model performed best during the wet season. Using predicted GW and VIC-3L vadose zone SM, the developed landslide susceptibility maps showed very good agreement with mapped landslides at each study region. Previous quasi-dynamic model predictions of Nepal’s hazardous areas during extreme rainfall events were enhanced to improve the spatial characterization and provide the timing of hazardous conditions.
Earth Systems Research Center
Journal of Mountain Science
Digital Object Identifier (DOI)
Ray, R.L., J.M. Jacobs, and E.M. Douglas. 2018. Modeling Regional Landslide Susceptibility using Dynamic Soil Moisture Profiles. Journal of Mountain Science. 15(8). 1807-1824. 10.1007/s11629-018-4896-3.
© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018