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Document type:
Zeitschriftenaufsatz 
Author(s):
Straub, D. ; Grêt-Regamey, A. 
Title:
A Bayesian probabilistic framework for avalanche modelling based on observations 
Abstract:
Applied avalanche models are based on parameters which cannot be measured directly. As a consequence, these models are associated with large uncertainties, which must be addressed in risk assessment. To this end, we present an integral probabilistic framework for the modelling of avalanche hazards. The framework is based on a deterministic dynamic avalanche model, which is combined with an explicit representation of the different parameter uncertainties. The probability distribution of these unc...    »
 
Keywords:
Avalanches; Natural hazards; Bayesian analysis; Risk assessment; Uncertainty modelling; Land-use planning 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
Cold Regions Science and Technology 
Year:
2006 
Journal volume:
46 
Month:
Oct 
Journal issue:
Pages contribution:
192–203 
Reviewed:
ja 
Language:
en 
Publisher:
Elsevier 
Status:
Verlagsversion / published 
Accepted:
22.08.2006 
Date of publication:
27.10.2006 
TUM Institution:
FG Risikoanalyse und Zuverlässigkeit 
Format:
Bild/Text 
Ingested:
24.09.2015 
Last change:
24.09.2015