Spatially explicit avalanche risk assessment linking Bayesian networks to a GIS
- Journal Article
Rights / licenseCreative Commons Attribution-NonCommercial-ShareAlike 2.5 Generic
Avalanche disasters are associated with significant monetary losses. It is thus crucial that avalanche risk assessments are based on a consistent and proper assessment of the uncertainties involved in the modelling of the avalanche run-out zones and the estimations of the damage potential. We link a Bayesian network (BN) to a Geographic Information System (GIS) for avalanche risk assessment in order to facilitate the explicit modelling of all relevant parameters, their causal relations and the involved uncertainties in a spatially explicit manner. The suggested procedure is illustrated for a case study area (Davos, Switzerland) located in the Swiss Alps. We discuss the potential of such a model by comparing the risks estimated using the probabilistic framework to those obtained by a traditional risk assessment procedure. The presented model may serve as a basis for developing a consistent and unified risk assessment approach Show more
Journal / seriesNatural Hazards and Earth System Sciences
Pages / Article No.
Organisational unit03823 - Grêt-Regamey, Adrienne / Grêt-Regamey, Adrienne
03172 - Schmid, Willy A.
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt und Landschaft D-ARCH
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