研究报告
康平,侯静雯,冯浩鹏,张小玲,曾胜兰,郑国伟.成都市PM2.5和O3复合污染特征及相互作用研究[J].环境科学学报,2022,42(10):80-90
成都市PM2.5和O3复合污染特征及相互作用研究
- Study on the characteristics and interaction of PM2.5 and O3 combined pollution in Chengdu
- 基金项目：国家重点研发计划（No.2018YFC0214001）；国家外国专家项目（No.G2021036001）；成都市重大科技应用示范项目（No. 2020-YF09-00031-SN）
- 作者
- 单位
- 康平
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225;成都平原城市气象与环境四川省野外科学观测研究站，成都 610225
- 侯静雯
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225
- 冯浩鹏
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225
- 张小玲
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225;成都平原城市气象与环境四川省野外科学观测研究站，成都 610225
- 曾胜兰
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225;成都平原城市气象与环境四川省野外科学观测研究站，成都 610225
- 郑国伟
- 成都信息工程大学大气科学学院，高原大气与环境四川省重点实验室，成都 610225
- 摘要：基于2015—2020年成都市国控环境监测站点逐时大气污染物监测数据，将其分为3类站点（城区、交通、背景站点），研究不同季节、不同污染水平下，各类站点细颗粒物（PM2.5）和臭氧（O3）复合污染特征及相互作用.结果表明：①成都各类站点的PM2.5超标天数和PM2.5年平均浓度总体呈下降趋势，背景站点浓度明显小于城区站点和交通站点；O3年际变化趋势呈波动性，且交通站点和背景站点的变化波动强于城区站点.②各类站点PM2.5与O3相关性在O3污染期（4—8月）和PM2.5污染期（11—次年1月）均存在显著差异，且二者在不同季节甚至呈现相反的相关性，总体趋势为夏季PM2.5-O3的相关性趋于正相关，冬季趋于负相关.③O3污染期，各类站点二次PM2.5的浓度和贡献率随光化学水平的升高而增加，而一次PM2.5日变化幅度差异不大，表现出明显的O3和PM2.5协同增长现象.④PM2.5污染期，PM2.5与O3之间并不是简单的线性关系，不同PM2.5污染程度下，各类站点O3浓度变化率昼夜波动趋势基本相同，均在12：00—13：00达到峰值，在18：00达到谷值；且随着PM2.5浓度的增加，O3浓度变化率峰值/谷值波动范围亦随之增加.
- Abstract：The characteristics and interaction between fine particulate matter （PM2.5） and ozone （O3） combined pollution in different types of sites （classified as urban site， traffic site， background site） under different seasons and pollution levels in Chengdu has been studied， by using the hourly air pollution monitoring data from the national-controlled environmental monitoring sites from 2015 to 2020. Results showed that： ①The number of days with PM2.5-exceedance and the annual mean PM2.5 concentration in all types of sites showed a general downward trend. And the PM2.5 concentration of background site was significantly lower than that of urban site and traffic site. The interannual variation trend of O3 was fluctuating， and the fluctuation of traffic site and background site was stronger than that of urban site. ② Whether during O3 pollution season （April to August） or PM2.5 pollution season （November to January of next year）， the correlation between PM2.5 and O3 varied significantly among different types of sites （They even showed opposite correlation during different seasons）. The overall trend was that the relationship of PM2.5-O3 tended to be positive in summer and negative in winter. ③ During O3 pollution season， with the increase of photochemical level， the concentration and contribution of secondary PM2.5 increased accordingly， while the difference of daily variation of primary PM2.5 at various sites was not significant， which showed obvious synergistic growth of O3 and PM2.5. ④ During PM2.5 pollution season， the relationship between PM2.5 and O3 was not merely a linear. The diurnal variation of O3 concentration change rate at various sites under different PM2.5 pollution levels tended to be consistent， all reached a peak at 12：00—13：00 and a trough at 18：00. In addition， with the increase of PM2.5 concentration， the range of peak/trough fluctuations of O3 concentration change rate increased as well.
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