The generalized Pareto distribution (GPD) has been widely used in the extreme value
framework. The success of the GPD when applied to real data sets depends substantially on …

Standard engineering procedures, such as adopting high return periods as reference
events, are a simplified means of handling the complex and multivariate nature of snow …

Accurate prediction of snow avalanche runout-distances in a deterministic sense remains a
challenge due to the complexity of all the physical properties involved. Therefore, in many …

Many regions worldwide are threatened by multiple natural hazards with the potential to
cause high damages and losses. However, the modeling of multiple hazards in a joint …

Predicting the occurrence and spatial extent of extreme avalanches is a longstanding issue.
Using field data pooled from various sites within the same mountain range, authors showed …

While performing statistical–dynamical simulations for avalanche predetermination, a
propagation model must reach a compromise between precise description of the avalanche …

Remarkable episodes of avalanche events, so-called snow avalanche cycles, are recurring
threats to people and infrastructures in mountainous areas. This study focuses on the hazard …

Stochastic models are recent but unavoidable tools for snow avalanche hazard mapping
that can be described in a general system framework. For the computation of design return …

Cet ouvrage est le premier en langue française exclusivement consacré à l'étude
quantitative des avalanches de neige. Leur phénoménologie ainsi que les bases de calcul …

Abstract Specification of expected runout distances and related return periods are the first
and most important steps for zoning in snow avalanche prone terrain. In the past, runout …