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Strategies to reduce PM2.5 and O3 together during late summer and early fall in San Joaquin Valley, California
Atmospheric Research ( IF 4.5 ) Pub Date : 2021-04-23 , DOI: 10.1016/j.atmosres.2021.105633
Lin Huang , Jinjin Sun , Ling Jin , Nancy J. Brown , Jianlin Hu

PM2.5 and O3 controls are traditionally considered separately because PM2.5 is usually high in winter while O3 is generally high in summer. In this study, we explore the opportunity of controlling the two pollutants simultaneously through a better understanding of their intra-seasonal correlation and chemical-coupling behaviors under different meteorological conditions during the late summer and early fall (August–September) episodes in the San Joaquin Valley (SJV), California. A correlation analysis is first used to identify the temporal correlations between O3 and PM2.5 and their underlying physical and chemical drivers. Sensitivity analysis is then applied to determine the chemical coupling between PM2.5 and O3 and subsequent multipollutant control opportunities under two contrasting meteorological conditions using the Community Multi-Scale Air Quality (CMAQ) model. We find that O3 and PM2.5 are positively correlated on the daily timescale because both are sensitive to atmospheric stagnation. However, O3 and PM2.5 are negatively correlated on the hourly timescale determined by the negative correlation between hourly NO3 and O3, which is mainly due to the opposite effects of T and RH on the diurnal variations of NO3 and O3. Reducing NOx on average lead to O3 increase, but it can facilitate reducing O3 at higher O3 (>75 ppb) locations under the more stagnant conditions. NOx emission control could become beneficial for both O3 and PM2.5 when the NOx emissions in 2005 are further reduced by 15% under the more stagnant meteorological conditions and by 30% under the more ventilated meteorological conditions.



中文翻译:

夏末和初秋在加利福尼亚州圣华金河谷共同降低PM 2.5和O 3的策略

传统上将PM 2.5和O 3控件分开考虑,因为冬季PM 2.5通常较高,而夏季O 3通常较高。在这项研究中,我们探索了通过更好地了解两种污染物在两个季节之间的相互关系以及在圣华金夏末和初秋(八月至九月)期间在不同气象条件下的化学耦合行为来同时控制两种污染物的机会。加利福尼亚的山谷(SJV)。首先使用相关分析来确定O 3和PM 2.5之间的时间相关性及其潜在的物理和化学驱动因素。然后,使用“社区多尺度空气质量”(CMAQ)模型,通过敏感性分析来确定PM 2.5与O 3之间的化学耦合以及随后在两种相反的气象条件下的多污染物控制机会。我们发现O 3和PM 2.5在每日时间尺度上呈正相关,因为它们都对大气停滞敏感。然而,O- 3和PM 2.5上每小时时间刻度是负相关的确定由间每小时NO负相关3 -和O 3,这主要是由于T和RH对NO的日变化的作用是相反的3 -和O 3。减少NO X平均引线至O 3增加,但它可以有利于减少ö 3在较高Ô 3(> 75 ppb)的越停滞条件下的位置。NO X排放控制可以成为均为O有益3和PM 2.5当NO X在2005年的排放量进一步由15%的更停滞气象条件下和30%的更气象通风条件下还原。

更新日期:2021-04-23
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