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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]

 

AUTHOR(S)

Mohammadali Rajabi, Aliasghar Alesheikh, Alireza Chehreghan, Hassan Gazmeh

 

KEYWORDS

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

 

ABSTRACT

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.

 

REFERENCES

[1] Saigal, P.M., A suggested classification of forest fires in India by types and causes., in In: Proceedings of the National Seminar on Forest Fire Fighting1989: Kulamaru, Kerala, India.

[2] Roy, P.S., Ranganath, B.K., Diwakar, P.G., Vohra, T.P.S., Bhan, S.K., Singh, I.J., pandhan, V.C., Tropical forest type mapping and monitoring using remote sensing Int. J. Remote Sens, 1991. 12 (11): p. 2205-2228.

[3] Berjak, S.G. and J.W. Hearne, An improved cellular automaton model for simulating fire in a spatially heterogeneous Savanna system. Ecological Modelling, 2002. 148(2): p. 133-151.

[4] Abhineet Jain, P.S.R., S.A. Ravan, R.K. Singh and K.K. Das, , Fire risk modelling using remote sensing and geographic information system. Current Science 1996. 70(10): p. 928-933.

[5] Kandya, A.K., Kimothi, M.M., Jadhav, R.N., Agarwal, J.P., , Application of GIS in identification of fire prone areas a feasibility study in parts of Junagarh (Gujrat, India). Indian For. , 1998. 124 (7): p. 531–535.

[6] Jaiswal, R.K., Saumitra, M., Kumaran, D.R. and Rajesh, S., Forest fire risk zone mapping from satellite imagery and GIS’. International Journal of Applied Earth Observation and Geoinformation, 2002. 4: p. 1-10.

[7] Adab, H., Habibi Nokhandan, M., Mirzabayati, R., Adabi Firouzrajayi, A.,, Zoning hazard fire in Mazandaran forest based on Molgan index using GIS, in 1th International Conference at Climate Changes and Botani in Khazar Echosystem2008: Mazandaran-Iran. p. 178-189.

[8] Akbari, D., Warning about fire at forests using remote sensing methods, in First National Conference at Society Service2009: Tehran-Iran.

[9] Eskandari, S., Using gegraphic information system as a decision support system at forest fire, in 19th Geomatic National Conference2012: Tehran-Iran.

[10] Dong, X., et al., Forest fire risk zone mapping from satellite images and GIS for Baihe forestry Bureau, Jilin, China. Journal of Forestry Research, 2005. 16(3): p. 169-174.

[11] Chuvieco, E. and R.G. Congalton, Application of remote sensing and geographic information systems to forest fire hazard mapping. Remote Sensing of Environment, 1989. 29(2): p. 147-159.

[12] Alimedia, R., Forest fire risk areas and definition of the prevention priority planning actions using GIS in Fifth European Conference and Exhibition on Geographic Information Systems, EGIS941994: Utrecht: EGIS Foundation. p. 1700-1706.

[13] Giri, C. and S. Shrestha, Technical note: forest fire mapping in Huay Kha Khaeng Wildlife Sanctuary, Thailand. International Journal of Remote Sensing, 2000. 21(10): p. 2023-2030.

[14] Esra Erten , V.K., Nebiye Musaoglu, FOREST FIRE RISK ZONE MAPPING FROM SATELLITE IMAGERY AND GIS A CASE STUDY. ISPRS, 2005.

[15] Chuvieco, E., Sales, J.,, Mapping the spatial distribution of forest fire danger using GIS. Geographic Information System, 1996. 10: p. 333-345.

[16] Zadeh, L., Fuzzy sets. Information and Control, 1965. 8: p. 338–353.

[17] Cox, E., Fuzzy logic for business and industry1995, Rockland, Mass.: Charles River Media.

[18] Andries, P., Engelbrecht,, Computational Intelligence An Introduction2007: John Wiley & Sons Ltd.