Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China

Int J Environ Res Public Health. 2019 Nov 30;16(23):4824. doi: 10.3390/ijerph16234824.

Abstract

In recent years, particulate matter of 2.5 µm or less (PM2.5) pollution in China has decreased but, at the same time, ozone (O3) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM2.5 and O3 have reached different conclusions. In order to clarify the relationship between PM2.5 and O3, this study selected mainland China as the research area, based on the PM2.5 and O3 concentration data of 1458 air quality monitoring stations, and analyzed the correlation between PM2.5 and O3 for different time scales and geographic divisions. Moreover, by combining the characteristics of the pollutants, topography, and climatic features of the study area, we attempted to discuss the causes of the spatial and temporal differences of R-PO (the correlation between PM2.5 and O3). The study found that: (1) R-PO tends to show a positive correlation in summer and a negative correlation in winter, (2) the correlation coefficient of PM2.5 and O3 is lower in the morning and higher in the afternoon, and (3) R-PO also shows significant spatial differences, including north-south differences and coastland-inland differences.

Keywords: O3; PM2.5; correlation analysis; root cause analysis; spatio-temporal variation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Air Pollutants / analysis*
  • Air Pollution / analysis
  • China
  • Environmental Monitoring
  • Ozone / analysis*
  • Particulate Matter / analysis*
  • Seasons
  • Time Factors

Substances

  • Air Pollutants
  • Particulate Matter
  • Ozone