Prediction of forest fire propagation

HPC is used to predict forest fire spread by integrating parallel fire and weather models. A two-stage method with genetic algorithms and decision trees estimates local fire conditions.

Institution:

Institution

Research Group:

High Performance Computing Applications for Science and Engineering (HPCA4SE)

Researcher/s:

Tomàs Margalef, Ana Cortés, Carles Carrillo

Description:

Application of High Performance Computing (HPC) to predict the propagation of forest fires. Integration of parallel forest fire propagation and meteorological models that are tightly coupled to improve the quality of the predictions. Use of a two-stage methodology to estimate the parameters of the local conditions of the fire with genetic algorithms and decision trees.

Value Proposition:

climate, forest fire, weather, agriculture

Aplication areas:

Environmental systems, agriculture, urban planning

Target market:

risk management services providers, farming

Technology Readiness Level (1-9): N/A

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