Detection of Fire-Prone Areas Using the PROMETHEE Decision-Making Method (Case Study: Watershed Basin of Shourdareh, Golestan Province, Iran)
Amirreza Mesbah
1
(
PhD Student, Department of Natural Resource, Nour Branch, Islamic Azad University, Nour, Iran
)
Khadijeh Mahdavi
2
(
Assistant Prof., Department of Natural Resource, Nour Branch, Islamic Azad University, Nour, Iran
)
Mahshid Souri
3
(
Assistant Prof., Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran
)
Mohammad Reza Javadi
4
(
Assistant Prof., Department of Natural Resource, Nour Branch, Islamic Azad University, Nour, Iran
)
الکلمات المفتاحية: Iran, prioritization, Fire, Golestan province, Shannon Weighting, Shourdareh,
ملخص المقالة :
Decision makers in fire management are faced with many alternatives and criteria. In decision making about the event of fire, various criteria including technical, economic, social and environmental criteria have to be considered simultaneously. Management to prevent and control fires in forests and rangelands will be effective if fire-prone areas and management identify and focus on these critical areas. Therefore, the present study was conducted in 2022 to identify fire-prone areas using PROMETHEE decision-making method in the watershed basin of Shourdareh, Golestan province, Iran. In the present study, according to fire expert’s opinion, 29 different environmental and social criteria were used to detect of fire-prone areas. In this regard, The Shannon entropy method was used to weigh the criteria. Then, according to the weight and value of each criterion for each sub-basin, the data were analyzed using the PROMETHEE II technique. Based on the results of PROMETHEE II technique, sub-basins of Gh3, Gh8 and Gh1 with Phi values of 0.335, 0.148 and 0.239, respectively, were in high susceptibility to fire class. While rangelands of sub-basins Gh2, Gh5, Gh6 and Gh7 with Phi values of -0.220, -0.117, -0.136 and -0.241 were in the low susceptibility to fire class. Sub-basins of Gh9, Gh10 and Gh11 with Phi values of 0.114, -0.078 and 0.025 were in the moderate susceptibility to fire class. To evaluate the method, the results of this study were compared with results of actual fire areas that prepared by the department of natural resources of Golestan province, Iran. According to the obtained kappa coefficient with the value of 0.82, the method had good and acceptable accuracy. Therefore, since the proposed method was a reliable screening method to identify areas at risk of fire, it can help the authorities in carrying out preventive activities.
