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Type: Journal Article
Author(s): Mhd Wathek Alhaj Khalaf; Shaban Shataee-Jouibary; Roghayeh Jahdi
Publication Date: 2022

Due to their increasing frequency wildfires and the area burned in natural areas, wildfires are becoming increasingly challenging to control. Firebreaks are an effective method to stop the spread of wildfires. To find the optimal allocation of firebreaks, a weight-linear combination (WLC) with an AHP fuzzy method was used to allocate optimum fuel breaks networks in the Golestan National Park in northeastern Iran. The effective factors that may impact the designing of firebreaks, including climate, topography, fuel, and fire behavior characteristics, were determined. The WindNinja simulator was used to create wind direction and speed layers based on the prevailing wind direction (250°) and three wind-speed scenarios (low = 6, medium = 12, and high = 18 mph). FlamMap (basic FB and MTT algorithms) was used to predict potential characteristics of fire behavior, including burn probability, rate of spread, flame length, and fireline intensity, under constant weather and fuel moisture conditions, using historic ignition points in the most recent ten years in the study area. Furthermore, the suitability map of the fuel-break allocation was determined by the AHP weights and the weighted linear combination (WLC) method and was considered effective.

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Citation: Khalaf, Mhd Wathek Alhaj; Shataee-Jouibary, Shaban; Jahdi, Roghayeh. 2022. Optimum allocation of firebreaks networks during the design process in Golestan National Park, northeastern Iran. Environmental Sciences Proceedings 17(1):41.

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Topics:
Regions:
Keywords:
  • AHP - analytic hierarchy process
  • fire spread
  • firebreak
  • fuel characteristics
  • Golestan National Park
  • Iran
  • weighted linear combination
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 67103