Dynamic multi-resolution cellular space modeling for forest fire simulation
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abstract
Multi-resolution modeling is an important research topic in modeling and simulating complex systems. In this paper, the authors develop a multi-resolution discrete event cellular space model with multiple spatial resolution cells, i.e., the spatial sizes of different cells are different. The change of cells' spatial resolutions happens dynamically and adaptively as the simulation proceeds. This work is developed in the context of forest fire simulation. Specifically, as the fire front spreads along the cellular space, cells close to the fire front change to higher resolution (smaller size) and cells far from the fire front change to lower resolution (larger size). The conceptual framework to support multi-resolution forest fire simulation is described. Implementation and preliminary results are presented and discussed.
