Assessment of air quality during worst wildfires in Mugla and Antalya regions of Turkey

Salman Tariq (), Zia ul‐Haq, Ayesha Mariam, Usman Mehmood and Waseem Ahmed
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Salman Tariq: University of the Punjab
Zia ul‐Haq: University of the Punjab
Ayesha Mariam: University of the Punjab
Usman Mehmood: University of the Punjab
Waseem Ahmed: National Institute of Disaster Management (NIDM)

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 115, issue 2, No 11, 1235-1254

Abstract: Abstract Recently, a worse and large-scale forest fire broke out across Turkey, which adversely affected the country’s air quality level and caused a tremendous loss. Mugla and Antalya cities were the hot spot areas of this fire that experienced adverse effects. In this paper, we examined and compared the air pollution before and during the forest fire episode i.e., from 27 July to 10 August 2021 in Antalya and Mugla. The results show that before the fire accusation, i.e., on 27 July, the daily mean aerosol optical depth (AOD) was 0.1 indicating a clear sky. However, after the fire breakout on 28 July, this daily mean AOD value rapidly increased to 0.52 on 6 August, indicating intense air pollution. The highest AOD was 2.2 over northern Marmaris, Ula, southeastern Milas, and Mugla Merkezon on 5 August 2021. The results show that peak fire activity occurred during 4–8 August. Meanwhile, the highest NO2 concentration was 167 µmol/m2 over mid-east Merkez and Köycegiz. The peak HCHO load was 750 µmol/m2 over southern Mugla city. Moreover, Mugla and central Antalya cities experienced the highest O3 concentration of 0.14 mol/m2. Similarly, at the junction of Dalaman, Köycegiz, and Ortaca, a peak in CO (0.08 mol/m2) and aerosol index (AI) (3.5) had been observed. The high-altitude smoke was observed over Mugla city. Whereas, over Antalya, mixed aerosols were dominant, followed by smoke, dust, non-smoke fine mode, and fine dominating aerosols.

Keywords: Air pollution; Aerosol-type; Forest fire; Remote sensing; Turkey (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s11069-022-05592-5

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