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Fuzzy AHP for forest fire risk modeling

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)

Disaster Prevention and Management

ISSN: 0965-3562

Article publication date: 20 April 2012

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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.

Keywords

Citation

Kant Sharma, L., Kanga, S., Singh Nathawat, M., Sinha, S. and Chandra Pandey, P. (2012), "Fuzzy AHP for forest fire risk modeling", Disaster Prevention and Management, Vol. 21 No. 2, pp. 160-171. https://doi.org/10.1108/09653561211219964

Publisher

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Emerald Group Publishing Limited

Copyright © 2012, Emerald Group Publishing Limited

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