Tian Gan at INSTAAR - University of Colorado Boulder..
Benjamin Campforts at VU University Amsterdam.
Greg Tucker at Geological Sciences - University of Colorado Boulder.
Irina Overeem at Geological Sciences - University of Colorado Boulder.
Introduction
Landslide susceptibility is the likelihood of a landslide occurring in an area on the basis of local terrain condition to estimate “where” landslides are likely to occur. This lab demonstrates how to use several CSDMS Data Components (https://csdms.colorado.edu/wiki/DataComponents) to download topography and soil datasets to calculate the landslide susceptibility for a study area in Puerto Rico when Hurricane Maria hit the island in 2017. (Picture source: https://www.weather.gov/sju/maria2017)
In this lab, we will calculate the hourly landslide susceptibility for the area that has high concentration of landslide of Puerto Rico during Hurricane Maria. We will use the Topography and ERA5 Data Components as well as Landlab to prepare several datasets to calculate the landslide susceptibility.
Learning objectives Skills
Learn to use Data Components to download research datasets
Learn to create landslide susceptibility map
Key concepts
Landslide Susceptibility
CSDMS Data Component
Landlab
Lab notes This lab can be run on the lab (for educators) and jupyter (for general use) instances of the OpenEarthscape JupyterHub: just click one of the links under the Run online using heading at the top of this page, then run the notebook in the "CSDMS" kernel. Note that the notebook uses a little over 3 GB of memory.
Acknowledgements This work was supported by the National Science Foundation under collaborative grants 1831623, 2026951, 2140831, 2104102, and 2148762.
References
Strauch, R., Istanbulluoglu, E., Nudurupati, S. S., Bandaragoda, C., Gasparini, N. M., and Tucker, G. E. (2018), A hydroclimatological approach to predicting regional landslide probability using Landlab, Earth Surf. Dynam., 6, 49–75, https://doi.org/10.5194/esurf-6-49-2018
Montgomery, D. R., and Dietrich, W. E. (1994), A physically based model for the topographic control on shallow landsliding, Water Resour. Res., 30( 4), 1153– 1171, https://doi.org/10.1029/93WR02979.
Gan, T., Tucker, G.E., Hutton, E.W.H., Piper, M.D., Overeem, I., Kettner, A.J., Campforts, B., Moriarty, J.M., Undzis, B., Pierce, E., McCready, L., 2024: CSDMS Data Components: data–model integration tools for Earth surface processes modeling. Geosci. Model Dev., 17, 2165–2185. https://doi.org/10.5194/gmd-17-2165-2024