Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation

Forest fire spatial modelling using ordered weighted averaging multi-criteria evaluation

Forest fires are a major environmental issue because they are increasing as a consequence of climate change and global warming. The present study was aimed to model forest fire hazard using the ordered weighted averaging (OWA) multi-criteria evaluation algorithm and to determine the role of human, c...

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Bibliographic Details
Published in:Journal of forest science (Praha) Vol. 67; no. 2; pp. 87 - 100
Main Authors: Faramarzi, Hassan, Hosseini, Seyd Mohsen, Pourghasemi, Hamid Reza, Farnaghi, Mahdi
Format: Journal Article
Language:English
Published: Prague Czech Academy of Agricultural Sciences (CAAS) 01-01-2021
Czech Academy of Agricultural Sciences
Subjects:
agents fire
Algorithms
Analytic hierarchy process
Climate change
Environmental changes
Environmental factors
Evaluation
Fire hazards
Forest fires
Forests
fuzzification
Global warming
golestan national park
Mathematical analysis
Multiple criterion
National parks
ordered weighted averaging
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Summary:Forest fires are a major environmental issue because they are increasing as a consequence of climate change and global warming. The present study was aimed to model forest fire hazard using the ordered weighted averaging (OWA) multi-criteria evaluation algorithm and to determine the role of human, climatic, and environmental factors in forest fire occurrence within the Golestan National Park (GNP), Iran. The database used for the present study was created according to daily classification of climate changes, environmental basic maps, and human-made influential forest fire factors. In the study area, the forest fires were registered using GPS. Expert opinions were applied through the analytic hierarchy process (AHP) to determine the importance of effective factors. Fuzzy membership functions were used to standardize the thematic layers. The fire risk maps were prepared using different OWA scenarios for man-made, climatic, and environment factors. The findings revealed that roads (weight = 0.288), rainfalls (weight = 0.288), and aspects (weight = 0.255) are the major factors that contribute to the occurrence of forest fire in the study area. The forest fire maps prepared from different scenarios were validated using the relative operating characteristic (ROC) curve. Values of forest fire maps acquired from scenarios of human, environment, climate factors and their combination were 0.87, 0.731, 0.773 and 0.819, respectively.
ISSN:1212-4834
1805-935X
DOI:10.17221/50/2020-JFS