Temporal and Spatial Features of the Correlation between PM 2.5 and O 3 Concentrations in China

Jiajia Chen, Huanfeng Shen, Tongwen Li, Xiaolin Peng, Hairong Cheng and Chenyan Ma
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Jiajia Chen: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Huanfeng Shen: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Tongwen Li: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Xiaolin Peng: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Hairong Cheng: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
Chenyan Ma: School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

IJERPH, 2019, vol. 16, issue 23, 1-17

Abstract: In recent years, particulate matter of 2.5 µm or less (PM 2.5 ) pollution in China has decreased but, at the same time, ozone (O 3 ) pollution has become increasingly serious. Due to the different research areas and research periods, the existing analyses of the correlation between PM 2.5 and O 3 have reached different conclusions. In order to clarify the relationship between PM 2.5 and O 3 , this study selected mainland China as the research area, based on the PM 2.5 and O 3 concentration data of 1458 air quality monitoring stations, and analyzed the correlation between PM 2.5 and O 3 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 PM 2.5 and O 3 ). 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 PM 2.5 and O 3 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: PM 2.5; O 3; correlation analysis; spatio-temporal variation; root cause analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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