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DOI	10.1016/j.atmosres.2020.105363
	Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions
	Dai H.; Zhu J.; Liao H.; Li J.; Liang M.; Yang Y.; Yue X.
发表日期	2021
ISSN	0169-8095
卷号	249
英文摘要	We examined the spatial-temporal variations of surface-layer ozone (O3) and PM2.5 (particulate matter with an aerodynamic equivalent diameter of 2.5 μm or less) observed from April 2013 to December 2019 in the Yangtze River Delta (YRD) region to identify the O3-PM2.5 relationship and to focus on the co-polluted days by O3 and PM2.5. Averaged over the YRD, the observed annual mean concentration of maximum daily 8 h average ozone (MDA8 O3) increased by 36.8 μg m−3 (49.5%) whereas that of PM2.5 decreased by 13.3 μg m−3 (22.1%) over 2014–2019. During warm months of April-October of 2013–2019, the observed regional mean daily concentrations of MDA8 O3 and PM2.5 had a small positive correlation of 0.23, and this correlation coefficient became 0.44 when the long term trends were removed from the concentrations. The days with co-pollution of MDA8 O3 and PM2.5 (MDA8 O3 > 160 μg m−3 and PM2.5 > 75 μg m−3) were observed frequently, which reached 54 days in Shanghai and 71 days in Jiangsu province during 2013–2019. Such co-polluted days in the YRD were found to occur mainly in the months of April, May, June, and October. The occurrence of co-pollution in the YRD is found to be mainly dependent on relative humidity, surface air temperature, and wind speed. The mean anomalous values of these three variables were, respectively, −7.3%, 0.46 °C, −0.17 m s−1 for days with O3 pollution alone while −6.2%, 1.84 °C, and −0.40 m s−1 for days with co-pollution. Four typical weather patterns were identified to be associated with the co-polluted days. Our results provide better understanding of the complex air pollution and have implications for the control of such co-polluted events. © 2020 Elsevier B.V.
英文关键词	Co-occurrence; Ozone and PM2.5; Pollution; Typical weather patterns
语种	英语
scopus关键词	Air pollution; Air pollution control; Ozone; Ozone layer; Wind; Aerodynamic equivalent diameters; Correlation coefficient; Meteorological condition; Particulate Matter; Positive correlations; Spatiotemporal distributions; Surface air temperatures; Yangtze river delta; River pollution; atmospheric convection; atmospheric pollution; concentration (composition); ozone; particulate matter; seasonal variation; spatiotemporal analysis; China; Yangtze River
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162044
作者单位	Jiangsu 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, China
推荐引用方式 GB/T 7714	Dai H.,Zhu J.,Liao H.,等. Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions[J],2021,249.
APA	Dai H..,Zhu J..,Liao H..,Li J..,Liang M..,...&Yue X..(2021).Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions.Atmospheric Research,249.
MLA	Dai H.,et al."Co-occurrence of ozone and PM2.5 pollution in the Yangtze River Delta over 2013–2019: Spatiotemporal distribution and meteorological conditions".Atmospheric Research 249(2021).