Abstract:
The characteristics and main processes of typical particulate pollution in Fuzhou City in 2015 were investigated by using air quality data released by the Environmental Monitoring Station of China, meteorological data and HYSPLIT4 Trajectory Model. The analysis results showed that the annual concentrations
ρ(PM
10) and
ρ(PM
2.5) were 55.8 μg/m
3 and 29.2 μg/m
3 respectively, both lower than the national secondary standard. The particulate matter concentration exhibited an apparent seasonality, which was higher in winter and spring and lower in summer and autumn. The ratio
ρ(PM
2.5)/
ρ(PM
10) was 52%, which was generally lower than other cities over East China. The diurnal variation in PM concentration was significant, with two peaks during a day, which was mainly associated with the changes in boundary layer height and vehicle emissions. The ratio
ρ(PM
2.5)/
ρ(PM
10) showed an opposite variation trend to the PM concentration, with high
ρ(PM
10) concentration corresponding to a low ratio and vice versa. PM
10 was the main particle pollution from vehicle emissions during the morning and evening peaks. Particulate pollution episodes in Fuzhou city were characterized by rapid increases in particulate concentration and reduction in visibility, and could be classified into the 'accumulation' and 'transport' types. The episode on 5-6 January 2015 was mainly attributed to the chemical formation and accumulation of pollutants under static and humid weather conditions, whereas the episode on 17-19 January was caused by southward transport of pollutants from North China along with cold air. The results showed that the air quality in Fuzhou was generally good, with particulate pollution mainly occurring in winter caused by both local accumulation and regional transport effects. The overall results suggested that there was a high rate of 'excellent' and 'good' air quality for PM
10 and PM
2.5 in Fuzhou. Particle pollution mostly occurred in winter, and the main causes included local accumulation and regional transport.