A novel model to predict a slab avalanche configuration using m:n-CAk cellular automata

The paper introduces a novel method to represent slab avalanche phenomena.
The model is based on a cellular automaton generalization named m:n-CAk. This generalization allows the use of
different layers in a single cellular automaton. Each one of these layers represents the GIS data needed to perform the calculations. The model is represented using Specification and Description Language, and is implemented in
C++. The clear separation between the model representation and implementation simplifies the understanding of the behavior that rules the model. We determine experimentally two parameters that generate more accurate results in all the tested scenarios, namely the Penalization Coefficient (Kp) and the Inertial Coefficient (Ki). All the models have been validated using data from the Catalan Pyrenees.

Saturday, January 1, 2011 (All day)

Pau Fonseca i Casas
Department of Statistics and Operations Research

Universitat Politècnica de Catalunya - BarcelonaTECH
North Campus - C5218 Room
Barcelona, 08034, SPAIN

Tel. (+34) 93 4017035
Fax. (+34) 93 4015855