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IJSTR >> Volume 2- Issue 12, December 2013 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

An Innovative Method For Forest Fire Risk Zoning Map Using Fuzzy Inference System And GIS

[Full Text]



Mohammadali Rajabi, Aliasghar Alesheikh, Alireza Chehreghan, Hassan Gazmeh



Keywords: Forest Fire Risk Fire Risk Zoning Map, GIS, Fuzzy Inference System, Experimental Model.



Abstract: Forest Fire causes considerable environmental damage and brings about a significant change in the ecosystem of the region. It is a humanistic and national duty to protect against fire the forests. Most of such forest fire incidents result from human nonchalance. Other causes such as thunderstorm, glass objects and etc. are also considered as triggers of such incidents, this paper mainly focuses upon the human factor. The considered parameters such as distance from the road, residential areas, river, slope, climate and type of vegetation, and GIS play a significant role in the analysis and determining the factors impacting fire incidents. GIS was used for the analysis and calculations required in regard with these parameters. Therefore the locations with fire risk are determined by a combination of experimental model, fuzzy inference system and GIS. The obtained results indicate high accuracy and good efficiency. Results discussed extensively in paper. To evaluate the proposed method, the obtained results were compared with fire incidents of past years. The comparison results indicate an improvement in predication by this method in comparison with other methods.



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