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Composition and Distribution Analysis of Bioaerosols Under Different Environmental Conditions
Published on: January 7, 2019
[Characteristics of Aerosol Optical Depth in the Urban Area of Beibei and Its Correlation with Particle
Wei Zeng1,2, Qing-Ju Hao1,2, Zhong-Jing Zhao1,2
1State Cultivation Base of Eco-agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China.
Abstract:
To understand the atmospheric quality of the Beibei District of Chongqing, using the simultaneous observation data of aerosol optical depth and particulate matter concentration in 2014, we analyzed the characteristics of aerosol optical depth (AOD) in the urban area of Beibei and its correlation with particle concentration. The results showed that the annual average of AOD500nm in Beibei District is 1.46±0.69, which varies significantly by month. The highest value in November was 2.90±1.85, and the lowest in September was 0.54±0.05. There is particulate matter pollution in Beibei District. The annual average values of PM2.5 and PM10 are (62±40)μg·m-3 and (94±51)μg·m-3, respectively, which exceed the secondary standard of GB 3095-2012 Ambient Air Quality Standard. The limit values, the daily average over-standard rates of PM2.5 and PM10, are 26% and 15%, respectively. There was significant correlation between fine particle PM2.5 and PM10 concentration of respirable particulate matter. The annual coefficient of determination R2 could reach 0.95 (P<0.01). The correlation between AOD and PM2.5 and PM10 was positive throughout the year. The coefficient of determination R2 was 0.48 and 0.46, respectively, and the coefficient of determination and correlation function were different in different seasons, among which the correlation in winter was the best and the correlation in summer was the worst. AOD and air quality index showed positive correlation characteristics throughout the year, and the coefficient of determination R2 was 0.15 (P<0.05). The AOD value was affected by the comprehensive effects of weather elements. The temperature, humidity, water vapor, and other factor data should also be collected synchronously during the observation period.

