Automated avalanche hazard indication mapping on a statewide scale
Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps
delineate areas of potential avalanche danger and are only available for selected areas …
delineate areas of potential avalanche danger and are only available for selected areas …
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial …
MC Iban, SS Bilgilioglu - Stochastic Environmental Research and Risk …, 2023 - Springer
This study examines the use of snow avalanche susceptibility maps (SASMs) to identify
areas prone to avalanches and develop measures to mitigate the risk in the Province of …
areas prone to avalanches and develop measures to mitigate the risk in the Province of …
Quantitative risk and optimal design approaches in the snow avalanche field: Review and extensions
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 …
events, are a simplified means of handling the complex and multivariate nature of snow …
A spatio-temporal modelling framework for assessing the fluctuations of avalanche occurrence resulting from climate change: application to 60 years of data in the …
Based on a previous township-scale model, a spatio-temporal framework is proposed to
study the fluctuations of avalanche occurrence possibly resulting from climate change. The …
study the fluctuations of avalanche occurrence possibly resulting from climate change. The …
Are there “dragon-kings” events (ie genuine outliers) among extreme avalanches?
C Ancey - The European Physical Journal Special Topics, 2012 - Springer
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 …
Using field data pooled from various sites within the same mountain range, authors showed …
Long-term avalanche hazard assessment with a Bayesian depth-averaged propagation model
While performing statistical–dynamical simulations for avalanche predetermination, a
propagation model must reach a compromise between precise description of the avalanche …
propagation model must reach a compromise between precise description of the avalanche …
[HTML][HTML] Modeling protective forests for gravitational natural hazards and how it relates to risk-based decision support tools
Simulation tools and their integrated models are widely used to estimate potential starting,
transit and runout zones of gravitational natural hazards such as rockfall, snow avalanches …
transit and runout zones of gravitational natural hazards such as rockfall, snow avalanches …
Bayesian stochastic modelling for avalanche predetermination: from a general system framework to return period computations
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 …
that can be described in a general system framework. For the computation of design return …
[图书][B] Dynamique des avalanches
C Ancey - 2006 - books.google.com
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 …
quantitative des avalanches de neige. Leur phénoménologie ainsi que les bases de calcul …
Validation of extreme snow avalanches and related return periods derived from a statistical-dynamical model using tree-ring techniques
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 …
and most important steps for zoning in snow avalanche prone terrain. In the past, runout …