Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons
We investigated the spatial-temporal characteristics of the correlations between observed PM<sub>2.5</sub> and O<sub>3</sub> over China at a national-scale level, and examined the underlying reasons for the varying PM<sub>2.5</sub>−O<sub>3</sub&...
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doaj-e052c5f53b2741cf883ba94248be0c112020-11-25T01:07:47ZengMDPI AGAtmosphere2073-44332019-06-0110735210.3390/atmos10070352atmos10070352Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying ReasonsJia Zhu0Lei Chen1Hong Liao2Ruijun Dang3Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaJiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaUniversity of Chinese Academy of Sciences, Beijing 100049, ChinaWe investigated the spatial-temporal characteristics of the correlations between observed PM<sub>2.5</sub> and O<sub>3</sub> over China at a national-scale level, and examined the underlying reasons for the varying PM<sub>2.5</sub>−O<sub>3</sub> correlations by using a chemical transport model. The PM<sub>2.5</sub> concentrations were positively correlated with O<sub>3</sub> concentrations for most regions and seasons over China, while negative correlations were mainly observed in northern China during winter. The strongest positive PM<sub>2.5</sub>−O<sub>3</sub> correlations with correlation coefficients (<i>r</i>) larger than +0.7 existed in southern China during July, and the strongest negative correlations (<i>r</i> < −0.5) were observed in northern China during January. It was a very interesting phenomenon that the positive PM<sub>2.5</sub>−O<sub>3</sub> correlations prevailed for high air temperature samples, while the negative correlations were generally found in cold environments. Together, the effective inhibitory effect of PM<sub>2.5</sub> on O<sub>3</sub> generation by reducing photolysis rates and the strong titration effect of freshly emitted NO with O<sub>3</sub> contributed to the strongest negative PM<sub>2.5</sub>−O<sub>3</sub> correlations in northern China during January (i.e., in cold environments). The strongest positive correlations in southern China during July (i.e., at high temperature), however, were mainly attributed to the promoting effect of high O<sub>3</sub> concentration and active photochemical activity on secondary particle formation.https://www.mdpi.com/2073-4433/10/7/352PM<sub>2.5</sub>ozonecorrelationtemperature |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jia Zhu Lei Chen Hong Liao Ruijun Dang |
spellingShingle |
Jia Zhu Lei Chen Hong Liao Ruijun Dang Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons Atmosphere PM<sub>2.5</sub> ozone correlation temperature |
author_facet |
Jia Zhu Lei Chen Hong Liao Ruijun Dang |
author_sort |
Jia Zhu |
title |
Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons |
title_short |
Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons |
title_full |
Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons |
title_fullStr |
Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons |
title_full_unstemmed |
Correlations between PM<sub>2.5</sub> and Ozone over China and Associated Underlying Reasons |
title_sort |
correlations between pm<sub>2.5</sub> and ozone over china and associated underlying reasons |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-06-01 |
description |
We investigated the spatial-temporal characteristics of the correlations between observed PM<sub>2.5</sub> and O<sub>3</sub> over China at a national-scale level, and examined the underlying reasons for the varying PM<sub>2.5</sub>−O<sub>3</sub> correlations by using a chemical transport model. The PM<sub>2.5</sub> concentrations were positively correlated with O<sub>3</sub> concentrations for most regions and seasons over China, while negative correlations were mainly observed in northern China during winter. The strongest positive PM<sub>2.5</sub>−O<sub>3</sub> correlations with correlation coefficients (<i>r</i>) larger than +0.7 existed in southern China during July, and the strongest negative correlations (<i>r</i> < −0.5) were observed in northern China during January. It was a very interesting phenomenon that the positive PM<sub>2.5</sub>−O<sub>3</sub> correlations prevailed for high air temperature samples, while the negative correlations were generally found in cold environments. Together, the effective inhibitory effect of PM<sub>2.5</sub> on O<sub>3</sub> generation by reducing photolysis rates and the strong titration effect of freshly emitted NO with O<sub>3</sub> contributed to the strongest negative PM<sub>2.5</sub>−O<sub>3</sub> correlations in northern China during January (i.e., in cold environments). The strongest positive correlations in southern China during July (i.e., at high temperature), however, were mainly attributed to the promoting effect of high O<sub>3</sub> concentration and active photochemical activity on secondary particle formation. |
topic |
PM<sub>2.5</sub> ozone correlation temperature |
url |
https://www.mdpi.com/2073-4433/10/7/352 |
work_keys_str_mv |
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