Variations in PM10, PM2.5 and PM1.0 in an Urban Area of the Sichuan Basin and Their Relation to Meteorological Factors

Atmosphere

Yang Li¹  Quanliang Chen²  Hujia Zhao⁴  Lin Wang²  Ran Tao²  Junji Cao³  Ru-Jin Huang³ 

[1] Center for Atmosphere Watch and Service, Meteorological Observation Center, China Meteorological Administration, Beijing 100081, China;Plateau Atmospheric and Environment Key Laboratory of Sichuan Province, College of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China; E-Mails:;id="af1-atmosphere-06-00150">1Center for Atmosphere Watch and Service, Meteorological Observation Center, China Meteorological Administration, Beijing 100081, Chi;Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China; E-Mail:

关键词: PM₁₀;    PM_2.5;    PM_1.0;    meteorological parameters;    Sichuan Basin;   

DOI  :  10.3390/atmos6010150

来源: mdpi

【 摘 要 】

Daily average monitoring data for PM₁₀, PM_2.5 and PM_1.0 and meteorological parameters at Chengdu from 2009 to 2011 are analyzed using statistical methods to replicate the effect of urban air pollution in Chengdu metropolitan region of the Sichuan Basin. The temporal distribution of, and correlation between, PM₁₀, PM_2.5 and PM_1.0 particles are analyzed. Additionally, the relationships between particulate matter (PM) and certain meteorological parameters are studied. The results show that variations in the average mass concentrations of PM₁₀, PM_2.5 and PM_1.0 generally have the same V-shaped distributions (except for April), with peak/trough values for PM average mass concentrations appearing in January/September, respectively. From 2009 to 2011, the inter-annual average mass concentrations of PM₁₀, PM_2.5 and PM_1.0 fall year on year. The correlation coefficients of daily concentrations of PM₁₀ with PM_2.5, PM₁₀ with PM_1.0, and PM_2.5 with PM_1.0 were high, reaching 0.91, 0.83 and 0.98, respectively. In addition, the average ratios of PM_2.5/PM₁₀, PM_1.0/PM₁₀ and PM_1.0/PM_2.5 were 85%, 78% and 92%, respectively. From this, fine PM is determined to be the principal pollutant in the Chengdu region. Except for averaged air pressure values, negative correlations exist between other meteorological parameters and PM. Temperature and air pressure influenced the transport and accumulation of PM by affecting convection. Winds promoted PM dispersion. Precipitation not only accelerated the deposition of wet PM, but also inhibited surface dust transport. There was an obvious correlation between PM and visibility; the most important cause of visibility degradation was due to the light extinction of aerosol particles.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.