<p>Wildfire risk and the extent of burned areas have been increasing in the Mediterranean region over recent decades, driven by high temperatures, low humidity, and extreme weather conditions intensified by climate change. Especially Greece, due to the country's diverse natural environment, has recently faced increasingly intense wildfires which have challenged firefighting efforts. The prediction of smoke dispersion can provide crucial information for enhancing fire management operations. In this study, an integrated Air Quality and Fire Modeling System based on WRF-SFIRE-Chem model has been developed to predict the wildfire spread, smoke dispersion and the distribution of PM<sub>10</sub> and CO under specific weather conditions that significantly affect the fire by performing simulation scenarios on selected days—based on the Fire Weather Index (FWI) estimation—and specified fire ignition points. Two areas with specific interest were selected: i) the Samaria Gorge in Crete and ii) the cross-border forest area of Skopos in Western Macedonia. Results showed that the large-scale weather conditions and the local weather created by the fire, play a significant role in the pollutants’ dispersion and ground level concentrations. In the case of Samaria gorge, PM<sub>10</sub> can reach up 11,238 μg/m<sup>3</sup> at Ksiloskalo and 4629 μg/m<sup>3</sup> at Agia Roumeli, and the ignition locations of the fire, even if in close distances, can result in different fire behavior and further to dissimilar smoke dispersion in the wider area. In the case of cross border area of Western Macedonia, PM<sub>10</sub> can reach up to 2500μg/m<sup>3</sup> at Skopos village and 3000μg/m<sup>3</sup> at Agios Athanasios in the case of a wildfire event in the attached forest area. The developed fire and air quality modeling system, provides specialised understanding on the prevailing dispersion patterns of PM₁₀ and CO in the regions surrounding the areas of interest, for planning future fire risk management systems, designing efficiency cooperative prevention and evacuation strategies.</p> Graphical Abstract <p></p>

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Simulation of Air Pollution Produced by Forest Fires Using the WRF-SFIRE-CHEM Model in Greece: Study Cases

  • Ioannis A. Sakellaris,
  • John G. Bartzis,
  • Emmanouil Grillakis,
  • Ioannis L. Bakouros,
  • Dimitris Kyriazanos,
  • Dikaia E. Saraga,
  • Apostolos Voulgarakis,
  • Thomas Maggos

摘要

Wildfire risk and the extent of burned areas have been increasing in the Mediterranean region over recent decades, driven by high temperatures, low humidity, and extreme weather conditions intensified by climate change. Especially Greece, due to the country's diverse natural environment, has recently faced increasingly intense wildfires which have challenged firefighting efforts. The prediction of smoke dispersion can provide crucial information for enhancing fire management operations. In this study, an integrated Air Quality and Fire Modeling System based on WRF-SFIRE-Chem model has been developed to predict the wildfire spread, smoke dispersion and the distribution of PM10 and CO under specific weather conditions that significantly affect the fire by performing simulation scenarios on selected days—based on the Fire Weather Index (FWI) estimation—and specified fire ignition points. Two areas with specific interest were selected: i) the Samaria Gorge in Crete and ii) the cross-border forest area of Skopos in Western Macedonia. Results showed that the large-scale weather conditions and the local weather created by the fire, play a significant role in the pollutants’ dispersion and ground level concentrations. In the case of Samaria gorge, PM10 can reach up 11,238 μg/m3 at Ksiloskalo and 4629 μg/m3 at Agia Roumeli, and the ignition locations of the fire, even if in close distances, can result in different fire behavior and further to dissimilar smoke dispersion in the wider area. In the case of cross border area of Western Macedonia, PM10 can reach up to 2500μg/m3 at Skopos village and 3000μg/m3 at Agios Athanasios in the case of a wildfire event in the attached forest area. The developed fire and air quality modeling system, provides specialised understanding on the prevailing dispersion patterns of PM₁₀ and CO in the regions surrounding the areas of interest, for planning future fire risk management systems, designing efficiency cooperative prevention and evacuation strategies.

Graphical Abstract