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Article

Quantification of Regional Ozone Pollution Characteristics and Its Temporal Evolution: Insights from Identification of the Impacts of Meteorological Conditions and Emissions

1
South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
2
School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
3
Institute for Environmental and Climate Research, Jinan University, Guangzhou 511443, China
4
Customer Service Center, China Southern Power Grid, Guangzhou 510620, China
*
Author to whom correspondence should be addressed.
Academic Editor: Martin Dameris
Atmosphere 2021, 12(2), 279; https://doi.org/10.3390/atmos12020279
Received: 24 January 2021 / Revised: 10 February 2021 / Accepted: 15 February 2021 / Published: 20 February 2021
(This article belongs to the Special Issue Air Quality Management)
Ozone (O3) pollution has become the major new challenge after the suppression of PM2.5 to levels below the standard for the Pearl River Delta (PRD). O3 can be transported between nearby stations due to its longevity, leading stations with a similar concentration in a state of aggregation, which is an alleged regional issue. Investigations in such regional characteristics were rarely involved ever. In this study, the aggregation (reflected by the global Moran’s I index, GM), its temporal evolution, and the impacts from meteorological conditions and both local (i.e., produced within the PRD) and non-local (i.e., transported from outside the PRD) contributions were explored by spatial analysis and statistical modeling based on observation data. The results from 2007 to 2018 showed that the GM was positive overall, implying that the monitoring stations were surrounded by stations with similar ozone levels, especially during ozone seasons. State of aggregation was reinforced from 2007 to 2012, and remained stable thereafter. Further investigations revealed that GM values were independent of meteorological conditions, while closely related to local and non-local contributions, and its temporal variations were driven only by local contributions. Then, the correlation (R2) between O3 and meteorology was identified. Result demonstrated that the westerly belonged to temperature (T) and surface solar radiation (SSR) sensitive regions and the correlation between ozone and the two became intense with time. Relative humidity (RH) showed a negative correlation with ozone in most areas and periods, whereas correlations with u and v were positive for northerly winds and negative for southerly winds. Two important key points of such investigation are that, firstly, we defined the features of ozone pollution by characterizing the temporal variations in spatial discrepancies among all stations, secondly, we highlighted the significance of subregional cooperation within the PRD and regional cooperation with external environmental organizations. View Full-Text
Keywords: ozone; aggregation; meteorological; spatial autocorrelation; Moran’s I; spatiotemporal evolution; Pearl River Delta ozone; aggregation; meteorological; spatial autocorrelation; Moran’s I; spatiotemporal evolution; Pearl River Delta
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MDPI and ACS Style

Yang, L.; Xie, D.; Yuan, Z.; Huang, Z.; Wu, H.; Han, J.; Liu, L.; Jia, W. Quantification of Regional Ozone Pollution Characteristics and Its Temporal Evolution: Insights from Identification of the Impacts of Meteorological Conditions and Emissions. Atmosphere 2021, 12, 279. https://doi.org/10.3390/atmos12020279

AMA Style

Yang L, Xie D, Yuan Z, Huang Z, Wu H, Han J, Liu L, Jia W. Quantification of Regional Ozone Pollution Characteristics and Its Temporal Evolution: Insights from Identification of the Impacts of Meteorological Conditions and Emissions. Atmosphere. 2021; 12(2):279. https://doi.org/10.3390/atmos12020279

Chicago/Turabian Style

Yang, Leifeng, Danping Xie, Zibing Yuan, Zhijiong Huang, Haibo Wu, Jinglei Han, Lijun Liu, and Wenchao Jia. 2021. "Quantification of Regional Ozone Pollution Characteristics and Its Temporal Evolution: Insights from Identification of the Impacts of Meteorological Conditions and Emissions" Atmosphere 12, no. 2: 279. https://doi.org/10.3390/atmos12020279

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