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<p>Controlling PM<sub>2.5</sub> and O<sub>3</sub> synergistic pollution has emerged as a key factor in improving China’s air quality. Spatiotemporal characteristics of synergistic pollution across the Chengdu-Chongqing City Group (CCCG) were characterized using high-frequency monitoring data from 215 sites. Then, further implemented a dual-pollutant random forest modeling framework to quantify factor-specific contributions and assess precursor sensitivity (NO<sub>X</sub>/VOCs/HCHO) for both pollutants, thereby identifying dominant precursors. From 2015 to 2020, the level of PM<sub>2.5</sub> and O<sub>3</sub> synergistic pollution in the CCCG decreased 53.48%. The consequence demonstrated that the relative contributions of precursors to PM<sub>2.5</sub> and O<sub>3</sub> are 42.16% and 29.51%, respectively, with NOx and VOCs identified as key driving factors. In addition, the relative contributions of meteorological factors to PM<sub>2.5</sub> and O<sub>3</sub> were 22.49% and 34.11%, respectively. Based on the seasonal patterns of heavy PM<sub>2.5</sub> and O<sub>3</sub> pollution, it was estimated that the seasonal total impacts of H<sub>2</sub>O<sub>2</sub> and C<sub>5</sub>H<sub>8</sub> on summer O<sub>3</sub> pollution were 19.91&#xa0;µg/m<sup>3</sup> and 17.1&#xa0;µg/m<sup>3</sup>, respectively, therefore, during intensive O<sub>3</sub> pollution in summer (June to August), efforts should be focused on reducing emissions of C<sub>5</sub>H<sub>8</sub> and H<sub>2</sub>O<sub>2</sub>. In winter, the seasonal total impacts of NO<sub>X</sub> and C<sub>3</sub>H<sub>8</sub> on PM<sub>2.5</sub> were 36.35&#xa0;µg/m<sup>3</sup> and 27.34&#xa0;µg/m<sup>3</sup>, respectively. Thus, during intensive PM<sub>2.5</sub> pollution in winter (December, January to February), priority should be given to reducing emissions of NO<sub>X</sub> and C<sub>3</sub>H<sub>8</sub>.</p>

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Quantitative estimation of the spatiotemporal responses of PM2.5 and O3 synergistic pollution to precursors in the Chengdu-Chongqing City Group of China

  • 期刊论文

  • 发表日期：

    2025年11月15日

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  • Mingliang Ma,
  • Yihong Jiao,
  • Mengjiao Liu,
  • Mengnan Liu,
  • Fei Meng,
  • Huaqiao Xing,
  • Jingxue Bi,
  • Yuqiang Wang,
  • Tongwen Liu,
  • Pingjie Fu

摘要

Controlling PM2.5 and O3 synergistic pollution has emerged as a key factor in improving China’s air quality. Spatiotemporal characteristics of synergistic pollution across the Chengdu-Chongqing City Group (CCCG) were characterized using high-frequency monitoring data from 215 sites. Then, further implemented a dual-pollutant random forest modeling framework to quantify factor-specific contributions and assess precursor sensitivity (NOX/VOCs/HCHO) for both pollutants, thereby identifying dominant precursors. From 2015 to 2020, the level of PM2.5 and O3 synergistic pollution in the CCCG decreased 53.48%. The consequence demonstrated that the relative contributions of precursors to PM2.5 and O3 are 42.16% and 29.51%, respectively, with NOx and VOCs identified as key driving factors. In addition, the relative contributions of meteorological factors to PM2.5 and O3 were 22.49% and 34.11%, respectively. Based on the seasonal patterns of heavy PM2.5 and O3 pollution, it was estimated that the seasonal total impacts of H2O2 and C5H8 on summer O3 pollution were 19.91 µg/m3 and 17.1 µg/m3, respectively, therefore, during intensive O3 pollution in summer (June to August), efforts should be focused on reducing emissions of C5H8 and H2O2. In winter, the seasonal total impacts of NOX and C3H8 on PM2.5 were 36.35 µg/m3 and 27.34 µg/m3, respectively. Thus, during intensive PM2.5 pollution in winter (December, January to February), priority should be given to reducing emissions of NOX and C3H8.