Liu Pengfei, Dong Junwu, Song Hongquan, Zheng Yiwen, Shen Xiaoyu, Wang Chaokun, Wang Yansong, Yang Dongyang
Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China; College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; Institute of Urban Big Data, College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China.
Key Research Institute of Yellow River Civilization and Sustainable Development & Collaborative Innovation Center on Yellow River Civilization of Henan Province, Henan University, Kaifeng, 475004, China; College of Geography and Environmental Science, Henan University, Kaifeng, 475004, China; College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China.
Chemosphere. 2024 Mar;352:141439. doi: 10.1016/j.chemosphere.2024.141439. Epub 2024 Feb 9.
Analyzing the influencing factors of fine particulate matter and ozone formation and identifying the coupling relationship between the two are the basis for implementing the synergistic pollutants control. However, the current research on the synergistic relationship between the two still needs to be further explored. Using the Geodetector model, we analyzed the effects of meteorology and emissions on fine particulate matter and ozone concentrations over the "2 + 26" cities at multiple timescales, and also explored the coupling relationship between the two pollutants. Fine particulate matter concentrations showed overall decreasing trends on inter-season and inter-annual scale from 2015 to 2021, whereas ozone concentrations showed overall increasing trends. While ozone concentrations displayed an inverted U-shaped distribution from month to month, fine particulate matter concentrations displayed a U-shaped fluctuation. On inter-annual scale, climatic factors, with planet boundary layer height as the main determinant, have higher effects for both pollutants than human precursors. In summer and autumn, sunshine duration had the most influence on fine particulate matter, while planet boundary layer height was the greatest factor in winter. Fine particulate matter is the leading impacting factor on ozone concentrations in summer, and there were positive associations between them on both annual and seasonal scale. The impact of nitrogen oxides and volatile organic compounds for both pollutants concentrations varied significantly between seasons. The two pollutants concentration were enhanced by the interactions between the various components. On inter-annual scale, interactions between the planet boundary layer height and other factors dominated the concentrations of the two pollutants, whereas in summer, interactions between fine particulate matter and other factors dominated the concentrations of ozone. The study has implications for the treatment of atmospheric pollution in China and other nations and can serve as an important reference for the creation of integrated atmospheric pollution regulation policies over the "2 + 26" cities.
分析细颗粒物和臭氧形成的影响因素并确定两者之间的耦合关系是实施协同污染物控制的基础。然而，目前关于两者协同关系的研究仍有待进一步探索。利用地理探测器模型，我们在多个时间尺度上分析了气象和排放对 “2 + 26” 城市细颗粒物和臭氧浓度的影响，并探讨了这两种污染物之间的耦合关系。2015年至2021年，细颗粒物浓度在季节和年际尺度上总体呈下降趋势，而臭氧浓度总体呈上升趋势。臭氧浓度逐月呈倒U形分布，而细颗粒物浓度呈U形波动。在年际尺度上，以行星边界层高度为主要决定因素的气候因素对两种污染物的影响均高于人类前体。在夏季和秋季，日照时长对细颗粒物影响最大，而冬季行星边界层高度是最大因素。夏季细颗粒物是影响臭氧浓度的主要因素，两者在年尺度和季节尺度上均呈正相关。氮氧化物和挥发性有机化合物对两种污染物浓度的影响在不同季节差异显著。各组分之间的相互作用增强了两种污染物的浓度。在年际尺度上，行星边界层高度与其他因素之间的相互作用主导了两种污染物的浓度，而在夏季，细颗粒物与其他因素之间的相互作用主导了臭氧的浓度。该研究对中国及其他国家的大气污染治理具有启示意义，可为 “2 + 26” 城市制定综合大气污染调控政策提供重要参考。
