Spatiotemporal variations of PM2.5 and PM10 concentrations between 31 Chinese cities and their relationships with SO2, NO2, CO and O3--颗粒学报PARTICUOLOGY

Xie, Y., Zhao, B., Zhang, L., & Luo, R. (2015). Spatiotemporal variations of PM2.5 and PM10 concentrations between 31 Chinese cities and their relationships with SO2, NO2, CO and O3. Particuology, 20, 141–149. https://doi.org/10.1016/j.partic.2015.01.003

Spatiotemporal variations of PM_2.5 and PM₁₀ concentrations between 31 Chinese cities and their relationships with SO₂, NO₂, CO and O₃

Yangyang Xie ^a, Bin Zhao ^a *, Lin Zhang ^b, Rong Luo ^b

a Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China
b Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

10.1016/j.partic.2015.01.003

Volume 20, June 2015, Pages 141-149

Received 16 September 2014, Revised 23 January 2015, Accepted 28 January 2015, Available online 14 April 2015.

E-mail: binzhao@tsinghua.edu.cn

Highlights

• Concentrations of PM and gaseous pollutants in 31 Chinese cities (from 286 sites) were analyzed.

• Concentration levels of PMs were significantly different in various cities.

• The correlations between PMs and NO₂, SO₂ were moderate.

• The correlation between PMs and CO was instable and that between PMs and O₃ was weak.

Abstract

The variations of mass concentrations of PM_2.5, PM₁₀, SO₂, NO₂, CO, and O₃ in 31 Chinese provincial capital cities were analyzed based on data from 286 monitoring sites obtained between March 22, 2013 and March 31, 2014. By comparing the pollutant concentrations over this length of time, the characteristics of the monthly variations of mass concentrations of air pollutants were determined. We used the Pearson correlation coefficient to establish the relationship between PM_2.5, PM₁₀, and the gas pollutants. The results revealed significant differences in the concentration levels of air pollutants and in the variations between the different cities. The Pearson correlation coefficients between PMs and NO₂ and SO₂ were either high or moderate (PM_2.5 with NO₂: r = 0.256–0.688, mean r = 0.498; PM₁₀ with NO₂: r = 0.169–0.713, mean r = 0.493; PM_2.5 with SO₂: r = 0.232–0.693, mean r = 0.449; PM₁₀ with SO₂: r = 0.131–0.669, mean r = 0.403). The correlation between PMs and CO was diverse (PM_2.5: r = 0.156–0.721, mean r = 0.437; PM₁₀: r = 0.06–0.67, mean r = 0.380). The correlation between PMs and O₃ was either weak or uncorrelated (PM_2.5: r = −0.35 to 0.089, mean r = −0.164; PM₁₀: r = −0.279 to 0.078, mean r = −0.127), except in Haikou (PM_2.5: r = 0.500; PM₁₀: r = 0.509).

Graphical abstract

Keywords

PM_2.5; PM₁₀; Atmospheric air pollutant; Indoor environment; Outdoor environment

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