AI Summary & Key Takeaways
AI InsightThis was attributed to the fact that themodel did not capture the local sea-breeze circulation well enough.
📌 3 Key Takeaways
Özet
The combined use of chemical analysis of organic molecules in atmospheric aerosols (PM1) collected insitu in Barcelona and optical measurements with a light detection and ranging (LIDAR) instrumentallowed the characterization of the smoke plume from a wildfire that reached the city in July 2012.Analysis of the chemical composition of the aerosols collected on 23 July 2012 confirmed the large effectof biomass burning on urban air quality during a period of several hours. Typical biomass burning tracers,such as levoglucosan, dehydroabietic acid and polycyclic aromatic hydrocarbons (PAH) were enhanced atthe same time as the aerosol concentrations in the boundary layer increased. According to air-masstrajectory modeling, the biomass burning particles originated from a severe wildfire burning 120 kmnortheast of the city. On the following days, no significant contribution of wildfire smoke was found inthe urban air, although the lidar detected particles aloft. A Lagrangian particle dispersion model(FLEXPART) was used to simulate the transport of aerosols (PM2.5) and carbon monoxide (CO), and thesimulated concentrations in Barcelona were compared to in-situ measurements. FLEXPART simulated theonset of the wildfire smoke plume event in the urban center in the early morning of 23 July successfully;by contrast, the fast passage of the plume at the surface and the decoupling of the cleaner boundary layerfrom the persistent smoke plume aloft was not well captured. This was attributed to the fact that themodel did not capture the local sea-breeze circulation well enough.