The Effect of Meteorological Features on Pollution Characteristics of PM2.5 in the South Area of Beijing, China

Author:

Yang Zhichen1,Yang Xuejun1,Xu Chaofan1,Wang Qinghai1ORCID

Affiliation:

1. Institute of Grassland, Flowers and Ecology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

Abstract

Based on the air quality monitoring data and meteorological data, the pollution characteristics of PM2.5 in southern Beijing and relationships between PM2.5 levels and meteorological features were analyzed. The results showed that during the investigation period, daily air quality was characterized as “excellent” and “favorable” (<75 µg m−3) on 77% of days in southern Beijing, and there were only two days with serious air pollution (>250 µg m−3). The PM2.5 concentration displayed obvious monthly variations with the highest concentration in November and the lowest concentration in August. When PM2.5 pollution episodes occurred (>75 µg m−3) in this area, the wind direction was often south and southeast with low wind speed (<3 m∙s−1), followed by southwest wind; in addition, the air temperature was low (<10 °C) and the relative humidity was high (>75%). The air quality of the study area was affected by the pollution transmission form the surrounding areas, especially the southeastern and the southern transmission paths. The PM2.5 concentration was positively correlated with SO2, NO2 and CO, and negatively correlated with O3. Therefore, to further improve the air quality in the study area, it is necessary to coordinate the control of PM2.5 and O3.

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference36 articles.

1. Grey relational difference analysis of PM2.5 drivers in Beijing-Tianjin-Hebei;Li;China Dev.,2018

2. Analysis of characteristics of air pollution transmission in fall and winter by remote sensing in Beijing;Shi;Acta Sci. Circumstantiae,2018

3. Variation of PM2.5 mass concentration in Beijing area during 2007–2014;Wang;Res. Environ. Sci.,2016

4. Multi-time scale variations of the PM2.5 in Beijing and its key mechanisms during 2008 to 2017;Guo;China Environ. Sci.,2022

5. Concentration characteristics of PM2.5 and the causes of heavy air pollution events in Beijing during Autumn and Winter;Xu;Environ. Sci.,2019

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