Next Article in Journal
The Integration of Recipes with a Standardizable Food Description FACET for Cadmium Exposure Risk Assessment
Previous Article in Journal
Exposure to Indoor Ferromagnetic Particulate Matter Monitored by Strawberry Plants and the Occurrence of Acute Respiratory Events in Adults
Open AccessArticle

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

1
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
3
The Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China
4
School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2019, 16(23), 4824; https://doi.org/10.3390/ijerph16234824
Received: 14 November 2019 / Revised: 27 November 2019 / Accepted: 29 November 2019 / Published: 30 November 2019
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: PM2.5; O3; correlation analysis; spatio-temporal variation; root cause analysis PM2.5; O3; correlation analysis; spatio-temporal variation; root cause analysis
MDPI and ACS Style

Chen, J.; Shen, H.; Li, T.; Peng, X.; Cheng, H.; Ma, C. Temporal and Spatial Features of the Correlation between PM2.5 and O3 Concentrations in China. Int. J. Environ. Res. Public Health 2019, 16, 4824.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop