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Type: Journal Article
Author(s): Roghayeh Jahdi; Liliana Del Giudice; Michele Salis
Publication Date: 2022

We analysed the spatiotemporal patterns of wildfire likelihood and intensity in the Ardabil Province, NW Iran. Wildfire simulation modelling based on the minimum travel time (MTT) fire spread algorithm (Finney 2002) was applied to estimate the fire occurrence, size, flame length, and burn probability in the area within the study period (2005-2018). To inform wildfire simulations, we gathered fuel types, fire weather conditions, and topography input data. Historical hourly wind and weather data for the study period were obtained from the Ardabil weather station. Moreover, we obtained historical ignition data from the Ardabil Natural Resources Department and FRWO, Iran. On average, about 97 ignitions per year were observed in the study area. According to the simulations, the burn probability, conditional flame length, and fire size ranged from 0.0003 to 0.01, 0 to 6.75 m, and 0 to 5200 ha, respectively. The highest values of the simulations, and consequently the largest and most severe wildfires, occurred in July, especially in the southern and northern portions of the province. The simulation outputs were consistent with historical fire frequency and current knowledge about fire patterns within the study area. The methodology proposed in this study provides a valuable contribution to the improvement of fuel management and wildfire risk mitigation strategies, adjusted to the specific wildfire conditions of different areas.

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Citation: Jahdi, Roghayeh; Del Giudice, Liliana; Salis, Michele. 2022. Spatiotemporal patterns of wildfire likelihood and intensity in Ardabil Province, NW Iran. Environmental Sciences Proceedings 17(1):18.

Cataloging Information

Fire Behavior    Fire Occurrence    Fuels    Models    Weather
  • burn probability
  • fire intensity
  • fire likelihood
  • historical fires
  • Iran
  • MTT - Minimum Travel Time
  • wildfire exposure
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Record Maintained By: FRAMES Staff (
FRAMES Record Number: 66728