Forest Fire Risk Assessment using Fuzzy Analytic Hierarchy Process
Author(s) -
Divya Mehta,
Parminder Kaur Baweja,
R. K. Aggarwal
Publication year - 2018
Publication title -
current world environment
Language(s) - English
Resource type - Journals
eISSN - 2320-8031
pISSN - 0973-4929
DOI - 10.12944/cwe.13.3.05
Subject(s) - analytic hierarchy process , elevation (ballistics) , risk assessment , geography , identification (biology) , agriculture , population , environmental resource management , environmental science , forestry , engineering , operations research , computer science , environmental health , ecology , biology , computer security , medicine , archaeology , structural engineering
The goal of present investigation was to generate forest fire risk zones in Solan district of Himachal Pradesh. The methodology applied was based on Fuzzy Analytic Hierarchy Process (FAHP) technique which involved socio-economic and bio-physical factors for risk assessment. Risk factors were selected on the bases of occurrence of forest fire in the area during past few years. Results revealed highest weight for fuel type (0.3109) followed by aspect (0.2487), agricultural workers (0.1341), nutritional density (0.1244), population density (0.0622), slope (0.0524),elevation (0.0311), literacy rate (0.0207) and distance from road (0.0155), respectively. Out of total geographical area, 4.15% area was classified under very high risk, while 40.63% and 54.00% area was under high and moderate risk, respectively. Area under low risk (0.84%) and very low risk (0.37%) were extremely less. The results were in agreement with actual fire occurrences in the area. Current World Environment Journal Website: www.cwejournal.org ISSN: 0973-4929, Vol. 13, No. (3) 2018, Pg. 307-316
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