Note on the determination of the ignition point in forest fires propagation using a control algorithm
نویسندگان
چکیده
This paper is devoted to the determination of the origin point in forest fires propagation using a control algorithm. The forest fires propagation are mathematically modelled starting from a reaction diffusion model. A V.O.F. formulation is also used to determine the fraction of the area which is burnt. After having developed the objective functional and its derivative, results from an optimiza1 tion process based on the simplex method is presented. It is shown that the ignition point and the final time of the fire propagation are precisely recovered, even for a realistic, non horizontal, terrain.
منابع مشابه
تجزیه و تحلیل آتشسوزی جنگل با منشأ آبوهوایی با دادههای ماهوارهای در منطقهی البرز
Forest fire is one of the important problems in Iran which is caused by different factors such as human and natural factors. One of these factors is climate conditions that can be created by heat wave and special circulation of atmospheric phenomena. Occurrence of forest fire in north of Iran have different impacts on environment such as destruction of natural. According to the position of Iran...
متن کاملLocalization Boyan algorithm to detect forest fires from MODIS sensor images
Of phenomena which much damage and irreparable import to forests and natural resources is the fire that each year, more than 100 fires occur in Iran and thousands of hectares of trees and plants eliminates. Given that fire risk is high in most parts of the world, full and continuous monitoring on this natural phenomenon, is essential. Use remote sensing is a way to identify and manage fire. Ahe...
متن کاملDetermining Effective Factors on Forest Fire Using the Compound of Multivariate Adaptive Regression Spline and Genetic Algorithm, a Case Study: Golestan, Iran
Determining Effective Factors on Forest Fire Using the Compound of Multivariate Adaptive Regression Spline and Genetic Algorithm, a Case Study: Golestan, Iran Pahlavani, P., Assistant professor at School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran Raei, A., PhD Candidate of GIS at School of Surveying and Geospatial Engineering, College of Engineeri...
متن کاملDetermining Effective Factors on Forest Fire Using the Compound of Multivariate Adaptive Regression Spline and Genetic Algorithm, a Case Study: Golestan, Iran
Determining Effective Factors on Forest Fire Using the Compound of Multivariate Adaptive Regression Spline and Genetic Algorithm, a Case Study: Golestan, Iran Pahlavani, P., Assistant professor at School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran Raei, A., PhD Candidate of GIS at School of Surveying and Geospatial Engineering, College of Engineeri...
متن کاملROBUST FUZZY CONTROL DESIGN USING GENETIC ALGORITHM OPTIMIZATION APPROACH: CASE STUDY OF SPARK IGNITION ENGINE TORQUE CONTROL
In the case of widely-uncertain non-linear system control design, it was very difficult to design a single controller to overcome control design specifications in all of its dynamical characteristics uncertainties. To resolve these problems, a new design method of robust fuzzy control proposed. The solution offered was by creating multiple soft-switching with Takagi-Sugeno fuzzy model for optim...
متن کامل