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This study investigates the complex interplay of a multi-hazard event involving elevated levels of O3, PM10, high temperatures, and the intrusion of desert dust in the period 25–27 July 2023 in Bulgaria. The simultaneous occurrence of these stressors poses significant challenges to both human health and the environment, requiring a comprehensive understanding of the situation. The analysis of the episode comprises products by different type of models and observations relevant to synoptic and meteorological conditions, atmospheric dynamics and chemistry. Modelled data from Copernicus Atmosphere Monitoring Service's (CAMS) includes: analysis/forecast from the regional ensemble model for air quality in Europe, from the global model for atmospheric chemistry, from products for fire activity, as well as for PM10 speciation in the region of Sofia. The observational dataset includes air quality measurements at the stations of the Executive Environment Agency, observations at synoptic and climate stations, AOD from the two AERONET stations, and satellite retrieved data on aerosol content in the atmosphere. The combined analysis of these different sources of information contributes to better understanding of the causes of elevated pollution levels in the country during the episode and also provides some insights on model performance.

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Multi-hazard Event: Interconnected Occurrence of High Ozone, PM10, High Temperature, and Desert Dust Intrusion

  • 会议论文

  • 发表日期：

    2025年

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  • Hristina Kirova,
  • Anastasiya Stoycheva,
  • Emilia Georgieva

摘要

This study investigates the complex interplay of a multi-hazard event involving elevated levels of O3, PM10, high temperatures, and the intrusion of desert dust in the period 25–27 July 2023 in Bulgaria. The simultaneous occurrence of these stressors poses significant challenges to both human health and the environment, requiring a comprehensive understanding of the situation. The analysis of the episode comprises products by different type of models and observations relevant to synoptic and meteorological conditions, atmospheric dynamics and chemistry. Modelled data from Copernicus Atmosphere Monitoring Service's (CAMS) includes: analysis/forecast from the regional ensemble model for air quality in Europe, from the global model for atmospheric chemistry, from products for fire activity, as well as for PM10 speciation in the region of Sofia. The observational dataset includes air quality measurements at the stations of the Executive Environment Agency, observations at synoptic and climate stations, AOD from the two AERONET stations, and satellite retrieved data on aerosol content in the atmosphere. The combined analysis of these different sources of information contributes to better understanding of the causes of elevated pollution levels in the country during the episode and also provides some insights on model performance.