Abstract
Forest fire causes significant damages to environment and living organisms. It becomes troublesome to recover from the consequences of forest fire. The early and accurate prediction of forest fire propagation in forest area will help in fire management efforts. The models required for prediction of forest fire spread requires many parameters and which are not known precisely during the emergency. So there is a need of intelligent system to model and predict the propagation of forest fire to reduce the consequences of forest fire and minimize the management efforts. In this work, we have discussed different techniques available in literature for forest fire prediction. This paper also describes the implementation and analysis of prediction of forest fire propagation using Genetic Algorithm and Geometric Semantic Genetic Programming.
Highlights
According to United Nations Environment Program, Forest covered 30% of earths land area in 2014
The implementation of Genetic algorithm is compared with geometric semantic genetic algorithm to get the best values of input parameters in the prediction of forest fire spread
The genetic algorithm and geometric semantic genetic algorithm are implemented on four parameters: drought factor, temperature, relative humidity and wind
Summary
According to United Nations Environment Program, Forest covered 30% of earths land area in 2014. In the Bandipur National Park of Karnataka state of India, broke out with massive forest fire in the month of February 2019 and last for 5 days This mainly influences the life of small animals, reptiles and birds as they are burnt and various plant species destroyed. The fires happened in Australia in September 2019 and in California in 2018 have brought attention to wildfires across the world These two fires destroyed millions of hectares of forests and which results in loss of habitats and food sources. This is majorly influence on the biodiversity and ecology of affected area and need to focus on forest fire management. Summer provides higher oxygen than winter Dry leaves and grass, resins, vegetation with high oil Distance between fuels
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