Modeling and simulation of forest fire detection and fire spread

Abstract

Fire spread model is beneficial to give suggestion for preventing from and fighting against forest fire. Factors affecting the quality of the model include accuracy, timeliness, and costing. In this paper, triangular fuzzy number is defined first, then build an AHP model based on triangular fuzzy number (F-AHP), and recognize the weight of the three metrics. In order to get a high performance fire detection model, we set different priorities for accuracy, timeliness and costing, and then build a large spatial scales CA model, by combining elementary CA model and the Monte Carlo algorithm. We also develop a simulation program, which can provide good visual dynamic images and is convenient to set and adjust important arithmetical parameters online according to crime scene investigation. Simulation results show our model is reliable and it can better simulate the reality of the spread of forest fires.