我国城市地区PM<sub>2.5</sub>和O<sub>3</sub>污染相关性:2017~2022年时空演变特征与协同防控启示

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Abstract Based on air quality monitoring data in all cities nationwide from 2017 to 2022, the Pearson correlation coefficient (Rp) between PM_2.5 daily average concentration (DA PM_2.5) and the maximum daily 8-hour moving average of O₃ (MDA8_O₃) was calculated, and the spatiotemporal variation characteristics of Rp was investigated. The results show that: There was no statistically significant correlation between DA PM_2.5 and MDA8_O₃ in the first and fourth quarters nationwide (R_p=-0.11~0.03), and positive correlation was only found in Southwest and South China (R_p=0.11~0.32). A nationwide positive correlation existed between DA PM_2.5 and MDA8_O₃ in the second (R_p=0.26~0.36) and the third quarters (R_p=0.46~0.55), but no correlation in Fen-Wei Plain and Northwest China for some years. Pollutant emission is the main factor affecting the correlation between PM_2.5 and O₃ pollution. Temporally, the emission characteristic values of primary PM_2.5 and sulfur dioxide (ECV_{PM_2.5} and ECV_SO₂) decreased while those of nitrogen oxides and volatile organic compounds (ECV_{NO_x} and ECV_VOCs) increased, which is consistent with the increasing trend of the average Rp values in most provinces (autonomous regions and municipalities directly under the Central Government). Spatially, for regions with relatively lower ECV_{PM_2.5} and ECV_SO₂ but higher ECV_VOCs and ECV_{NO_x}, the positive correlation between PM_2.5 and O₃ pollution is stronger. Based on the findings above, it is proposed that Beijing-Tianjin-Hebei and its surrounding area (BTH), Yangtze River Delta (YRD), Northeast and Southwest China (in the second and third quarters), and Southern China (year-round) shall pay attention to NO_x and VOCs emission control, while BTH, YRD, Northeast and Southwest China (in the first and fourth quarters), and Fen-Wei Plain and the Northwest China (year-round), need to mitigate primary PM_2.5 emission.

Key words： fine particulate matter ozone correlation key region air pollution characteristics

Received: 23 November 2023

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	ZHANG Kai-le
	CHU Yang-xi
	CHU Wang-hui
	ZHANG Hao
	CHI Xi-yuan
	LI Hong

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ZHANG Kai-le,CHU Yang-xi,CHU Wang-hui等. The correlation between PM_2.5 and O₃ pollution in urban areas of China: spatiotemporal variation from 2017 to 2022 and implication for synergistic prevention and control[J]. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(6): 3004-3011.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2024/V44/I6/3004

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