| 郑州市夏季PM2.5中二次无机组分污染特征及其影响因素 |
| 摘要点击 1098 全文点击 232 投稿时间：2023-02-15 修订日期：2023-04-11 |
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| 中文关键词 化学组分 二次无机气溶胶 天气过程 颗粒物pH值 气粒平衡 |
| 英文关键词 chemical components secondary inorganic aerosol weather process particle pH gas-particle partitioning |
| 作者 | 单位 | E-mail | | 和兵 | 河南省郑州生态环境监测中心, 郑州 450000 | hb010824@126.com | | 杨洁茹 | 郑州大学化学学院, 郑州 450001
郑州大学环境科学研究院, 郑州 450001 | | | 徐艺斐 | 河南省郑州生态环境监测中心, 郑州 450000 | | | 袁明浩 | 河南省郑州生态环境监测中心, 郑州 450000 | | | 翟诗婷 | 郑州大学化学学院, 郑州 450001
郑州大学环境科学研究院, 郑州 450001 | | | 赵长民 | 河南省郑州生态环境监测中心, 郑州 450000 | | | 王申博 | 郑州大学环境科学研究院, 郑州 450001
郑州大学生态与环境学院, 郑州 450001 | shbwang@zzu.edu.cn | | 张瑞芹 | 郑州大学环境科学研究院, 郑州 450001
郑州大学生态与环境学院, 郑州 450001 | |
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| 中文摘要 |
| 硝酸根（NO3-）、硫酸根（SO42-）和铵根离子（NH4+）是PM2.5中重要组分,研究三者的污染特征及其影响因素对空气质量的持续改善至关重要.于郑州市2020年夏季利用一系列在线PM2.5化学组分仪器开展连续观测.结果表明,郑州市2020年夏季ρ（PM2.5）平均值为（28 ± 13） μg·m-3,呈现夜间高白天低的日变化特征.ρ（NO3-）、ρ（SO42-）和ρ（NH4+）的平均值分别为（7.8 ± 6.7）、（7.2 ± 3.7）和（5.5 ± 3.1） μg·m-3,在PM2.5中的占比分别达到22%、21%和16%.分析不同情景下组分变化规律发现,随着PM2.5浓度的上升,NO3-在PM2.5中的占比上升,达到27%；随着O3浓度的上升,SO42-的占比上升,达到23%；低风速、高湿度、低温和降雨时段NO3-和NH4+的占比增大；高温条件下SO42-的占比增大；NO3-的浓度和占比呈夜间高白天低的日变化特征,SO42-则反之.NH4NO3的气粒分配过程是影响PM2.5中NH4+和NO3-浓度的主要因素.结合热力学模型探究气象参数、气溶胶含水量和pH值的影响,结果表明低温、高湿和高气溶胶含水量浓度有利于HNO3和NH3向颗粒相分配；高pH值有利于HNO3向NO3-分配,但是不利于NH3向NH4+分配.上述规律部分解释了不同情景下PM2.5中NO3-的浓度和占比的上升. |
| 英文摘要 |
| Nitrate (NO3-), sulfate (SO42-), and ammonium (NH4+) are important components of PM2.5, and studying their characteristics and influencing factors is essential for the continuous improvement of air quality. A series of online instruments were used to analyze the chemical components of PM2.5 in Zhengzhou in the summer of 2020. The results showed that the average ρ(PM2.5) was (28 ±13) μg·m-3, showing a daily variation characteristic of high at night and low during the day. The main concentrations of NO3-, SO42-, and NH4+ were (7.8 ±6.7), (7.2 ±3.7), and (5.5 ±3.1) μg·m-3, accounting for 22%, 21%, and 16% in PM2.5, respectively. The proportions of NO3- (27%) and SO42- (23%) in PM2.5, respectively, increased with the increase in PM2.5 and O3 concentration. In addition, the proportions of NO3- and NH4+ increased under low wind speed, high humidity, low temperature, and rainfall conditions. Moreover, the proportion of NO3- showed a daily variation characteristic of high at night and low during the day, whereas the opposite was true for SO42-. The gas-particle partitioning process of NH4NO3 was the main factor affecting the concentrations of NO3- and NH4+ in PM2.5. Low temperature, high humidity, and high aerosol water content concentrations favored the partitioning of HNO3 and NH3 to the particulate phase. High pH also favored the partitioning of gas-phase HNO3 to NO3-; however, it was not conducive to the partition of NH3 to NH4+. These trends partially explained the increase in the concentration and proportion of NO3- in PM2.5 under different scenarios. |
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