Fuzzy AHP for forest fire risk modeling

Laxmi Kant Sharma; Shruti Kanga; Mahendra Singh Nathawat; Suman Sinha; Prem Chandra Pandey

doi:10.1108/09653561211219964

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Disaster Prevention and Management

ISSN: 0965-3562

Online from: 1992

Subject Area: Environmental Management/Environment

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Fuzzy AHP for forest fire risk modeling

Document Information:
Title:	Fuzzy AHP for forest fire risk modeling
Author(s):	Laxmi Kant Sharma, (Department of Remote Sensing and Geoinformatics, Birla Institute of Technology, Ranchi, India), Shruti Kanga, (Department of Remote Sensing and Geoinformatics, Birla Institute of Technology, Ranchi, India), Mahendra Singh Nathawat, (Department of Remote Sensing and Geoinformatics, Birla Institute of Technology, Ranchi, India), Suman Sinha, (Department of Remote Sensing and Geoinformatics, Birla Institute of Technology, Ranchi, India), Prem Chandra Pandey, (Department of Remote Sensing and Geoinformatics, Birla Institute of Technology, Ranchi, India)
Citation:	Laxmi Kant Sharma, Shruti Kanga, Mahendra Singh Nathawat, Suman Sinha, Prem Chandra Pandey, (2012) "Fuzzy AHP for forest fire risk modeling", Disaster Prevention and Management, Vol. 21 Iss: 2, pp.160 - 171
Keywords:	Cumulative Fire Risk Index, Fire, Forests, Geographic information systems, Index modelling, MCDA, Risk management
Article type:	Conceptual paper
DOI:	10.1108/09653561211219964 (Permanent URL)
Publisher:	Emerald Group Publishing Limited
Acknowledgements:	The authors express a deep sense of gratitude to the Vice Chancellor, BIT, Mesra for their encouragement. The authors are thankful to the forest authority of Himachal Pradesh for their co-operation during a field visit. The Ministry of Environment and Forests, Govt. of India, is acknowledged for their financial assistance to Ms Shruti Kanga as Research Associate.
Abstract:	Purpose – The purpose of study is linked to management and policy-making strategies, such as forest management, land use planning and sustainable management of natural resources. It aims to help prevent forest fire by taking precautions. It also aims to be helpful for authorities coping during the event of occurrence of fire. Design/methodology/approach – The methodology paradigm applied here is based on knowledge-based and analytic hierarchy process (AHP) techniques. Knowledge-based criteria involve topographic and different themes for risk assessment. The assignment of value given to equation is significant due to its importance. Findings – Results are in strong agreement with actual fire occurrences in the past years. The risk zones are identified according to past occurrence of fire. The gradients of low- to high-risk zones are according to fuel, topographic features and weather conditions. Direction and aspect value were taken accordingly. Originality/value – The paper presents forest fire risk zones designed on knowledge-based information. Crisp and fuzzy AHP approaches were applied to improve the efficacy of the model. The mapping results were in accordance with actual fire occurrences in the past years.