School of Civil Engineering, College of Engineering, University of Tehran, P.O. Box 11365-4563, Tehran, Iran.
School of Environment, College of Engineering, University of Tehran, Tehran, Iran.
Environ Sci Pollut Res Int. 2022 Mar;29(11):16233-16249. doi: 10.1007/s11356-021-14923-1. Epub 2021 Oct 13.
Particulate matter is usually regarded as the dominant pollutant in Tehran megacity in Iran. However, the number of ozone exceedance days significantly increased in recent years. This study analyzes simultaneous measurements of O and NO (NO+NO) concentrations to improve our understanding of ozone evolution during the summers of 2017 to 2019. The k-means clustering technique was used to select five representative air quality monitoring sites in Tehran to capture O and NO concentrations' variability. The findings show that all of the investigated sites failed to meet the ozone non-attainment criterion. The ozone weekend effect is seen in the study of weekday/weekend differences in 2017 and 2018, but not in 2019, which can be due to the shift in the ozone production regime. The summer mean variation analysis can also be used to deduce this regime change. In 2017, the O and NO summer mean variations suggest a holdback in the NO upward trend and a reversal in the O downward trend that had been in place since 2012. Air mass back trajectory clustering reveals that east and north-east air mass clusters have the most significant impact on Tehran's O pollution and the highest regional contribution to O. The study of O against NO shows that the regional contribution to O increased from 2017 to 2018 and then decreased in 2019; however, the local contribution is the opposite. The diurnal analysis of the regional and local contributions to O indicated that O in Tehran might be primarily affected by pollutants from a short distance. The findings reveal critical changes in the behavior of O in recent years, indicating that decision-makers in Tehran should reconsider air pollution control measures.
颗粒物通常被认为是伊朗德黑兰大都市的主要污染物。然而,近年来臭氧超标天数显著增加。本研究分析了 2017 年至 2019 年夏季同时测量的 O 和 NO(NO+NO)浓度,以提高我们对臭氧演变的理解。使用 k-均值聚类技术选择德黑兰的五个具有代表性的空气质量监测站点,以捕捉 O 和 NO 浓度的可变性。研究结果表明,所有被调查的站点都未能达到臭氧未达标标准。在 2017 年和 2018 年的工作日/周末差异研究中观察到臭氧周末效应,但在 2019 年没有观察到,这可能是由于臭氧产生机制的转变。夏季平均变化分析也可用于推断这种制度变化。在 2017 年,O 和 NO 的夏季平均值变化表明,NO 的上升趋势受阻,O 的下降趋势逆转,自 2012 年以来一直如此。空气团后轨迹聚类表明,东向和东北向空气团对德黑兰的 O 污染影响最大,对 O 的区域贡献最大。O 对 NO 的研究表明,2017 年至 2018 年,O 的区域贡献增加,然后在 2019 年减少;然而,当地的贡献则相反。O 的昼夜分析表明,O 在德黑兰可能主要受到短距离污染物的影响。研究结果揭示了近年来 O 行为的重大变化,表明德黑兰的决策者应重新考虑空气污染控制措施。