|Title||Adapting map resolution to accomplish execution time constraints in wind field calculation|
|Publication Type||Journal Article|
|Year of Publication||2015|
|Authors||Sanjuán, G, Margalef, T, Cortés, A|
|Journal||Procedia Computer Science|
Forest fires are natural hazards that every year destroy thousands of hectares around the world. Forest fire propagation prediction is a key point to fight against such hazards. Several models and simulators have been developed to predict forest fire propagation. These models require input parameters such as digital elevation map, vegetation map, and other parameters describing the vegetation and meteorological conditions. However, some meteorological parameters, such as wind speed and direction, change from one point to another one due to the effect of the topography of the terrain. Therefore, it is necessary to couple wind field models, such as WindNinja, to estimate the wind speed and direction at each point of the terrain. The output provided by the wind field simulator is used as input of the fire propagation model. Coupling wind field model and forest fire propagation model improves accuracy prediction, but increases significantly prediction time. This fact is critical since propagation prediction must be provided in advance to allow the control centers to manage firefighters in the best possible way. This work analyses WindNinja execution time, describes a WindNinja parallelisation based on map partitioning, determines the limitations of such methodology for large maps and presents an improvement based on adapting map resolution to accomplish execution time limitations.