Journal cover Journal topic
Natural Hazards and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/nhessd-2-81-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
03 Jan 2014
Review status
This discussion paper is a preprint. It has been under review for the journal Natural Hazards and Earth System Sciences (NHESS). The revised manuscript was not accepted.
Quantitative spatial analysis of rockfalls from road inventories: a combined statistical and physical susceptibility model
M. Böhme1,2, M.-H. Derron3, and M. Jaboyedoff3 1Geological Survey of Norway, Trondheim, Norway
2Norwegian University of Science and Technology, Trondheim, Norway
3Center for Research on Terrestrial Environment, University of Lausanne, Lausanne, Switzerland
Abstract. Quantitative spatial analyses and statistical susceptibility assessments based on road inventories are often complicated due to the registration of impacts instead of source areas. A rockfall inventory from the Norwegian Directorate of Public Roads is analysed spatially in order to investigate potential controlling parameters in the Norwegian county Sogn and Fjordane. Quantitative spatial relationships are then used to model rockfall susceptibility with the help of the Weights-of-Evidence method. The controlling parameters tectono-stratigraphic position, quaternary geology, geological lineament density, relative relief and slope aspect resulted in the best performing model and thus yielded the basis for the statistical susceptibility map for the entire county of Sogn and Fjordane. Due to registered impacts instead of sources, the important parameter slope angle could not be included in the statistical models. Combining the statistical susceptibility model with a physically based model, restricts the susceptibility map to areas that are steep enough to represent a potential rockfall source. This combination makes it possible to use road inventories, with registered impacts instead of sources, for susceptibility modelling.

Citation: Böhme, M., Derron, M.-H., and Jaboyedoff, M.: Quantitative spatial analysis of rockfalls from road inventories: a combined statistical and physical susceptibility model, Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-2-81-2014, 2014.
M. Böhme et al.
M. Böhme et al.

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