Articles | Volume 6, issue 1
https://doi.org/10.5194/esurf-6-49-2018
https://doi.org/10.5194/esurf-6-49-2018
Research article
 | 
07 Feb 2018
Research article |  | 07 Feb 2018

A hydroclimatological approach to predicting regional landslide probability using Landlab

Ronda Strauch, Erkan Istanbulluoglu, Sai Siddhartha Nudurupati, Christina Bandaragoda, Nicole M. Gasparini, and Gregory E. Tucker

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Latest update: 28 Mar 2024
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Short summary
We develop a model of annual probability of shallow landslide initiation triggered by soil water from a hydrologic model. Our physically based model accommodates data uncertainty using a Monte Carlo approach. We found elevation-dependent patterns in probability related to the stabilizing effect of forests and soil and slope limitation at high elevations. We demonstrate our model in Washington, USA, but it is designed to run elsewhere with available data for risk planning using the Landlab.