Combining release and runout in statistical landslide susceptibility modeling
- Autor(en)
- Martin Mergili, Leonhard Schwarz, Arben Kociu
- Abstrakt
We introduce and compare two approaches to consistently combine release and runout in GIS-based landslide susceptibility modelling. The computational experiments are conducted on data for the Schnepfau investigation area in western Austria, including a high-quality landslide inventory and a landslide release susceptibility map. The two proposed approaches for the runout map use a constrained random walk approach for downslope routing of mass points, and employ the density functions (PDF and CDF) of the angles of reach and the travel distances of the observed landslides. (A) Bottom-up approach: for each cell, the spatial probability that landslide release is observed in its catchment is computed from the cell-based release susceptibilities and the size of the catchment area. This zonal release probability is then multiplied with the probability that the same cell is reached by a landslide released in its catchment. (B) Top-down approach: a number of random walks proportional to the release susceptibility is started from each cell, whereby the break criterion for each individual random walk is probabilistically derived from the PDFs. Each time a cell is impacted by a random walk, its susceptibility score is increased by 1. The spatial patterns of the resulting integrated landslide susceptibility maps are largely similar among (A) and (B). However, whereas (A) produces a quantitative spatial probability at the cost of losing the signal of the release susceptibility, (B) performs better but results in a qualitative score. Employing the functions of the angle of reach leads to the best performance, but also to conservative results in comparison to the outcomes obtained with the functions for the maximum travel distance or with a combination of both criteria.
- Organisation(en)
- Institut für Geographie und Regionalforschung
- Externe Organisation(en)
- Geologische Bundesanstalt
- Journal
- Landslides
- Band
- 16
- Seiten
- 2151-2165
- Anzahl der Seiten
- 15
- ISSN
- 1612-510X
- DOI
- https://doi.org/10.1007/s10346-019-01222-7
- Publikationsdatum
- 11-2019
- Peer-reviewed
- Ja
- ÖFOS 2012
- 105403 Geoinformatik, 207206 Ingenieurgeologie, 105404 Geomorphologie, 102009 Computersimulation
- Schlagwörter
- ASJC Scopus Sachgebiete
- Geotechnical Engineering and Engineering Geology
- Link zum Portal
- https://ucris.univie.ac.at/portal/de/publications/combining-release-and-runout-in-statistical-landslide-susceptibility-modeling(e325ceb8-fb0b-4f93-ac89-7262db12c8bf).html