Multiscale Geographic Exploration, Observation, Simulation, and Representation

Abstract

Impacts of spatial resolution on the predictive capability of flood simulation models have shown the necessity to assemble geographic models up to the level where physical behaviour can be expressed. Indeed, simulation systems in large areas lead to an increasing amount of simulation datasets or decreasing resolution causes negative effects. Besides, the Cellular Automata model have been applied successfully to many natural phenomena. This paper proposes an analysis of environmental information in relation with extended simulation capabilities. This approach uses a cellular automata model integrated with Geographic Information System (GIS) taking advantages of parallel computing resources operated using the Message Passing Interface (MPI) framework.