| 周口市2022年冬季重污染过程中细颗粒物污染特征及成因分析 |
| 摘要点击 1713 全文点击 446 投稿时间：2022-09-08 修订日期：2023-02-06 |
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| 中文关键词 细颗粒物(PM2.5) 二次无机气溶胶(SNA) 氮氧化率(NOR) 硫氧化率(SOR) 二次无机盐增长速率 |
| 英文关键词 fine particulate matter(PM2.5) secondary inorganic aerosol(SNA) nitrogen oxidation rate(NOR) sulfur oxidation rate(SOR) SNA growth rate |
| 作者 | 单位 | E-mail | | 马英歌 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | mayg@saes.sh.cn | | 杨露 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 狄睿苗 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 马南 | 河南省生态环境科学研究院, 郑州 450004 | | | 乔利平 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 吴宇航 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 周文鑫 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 赵新华 | 河南省生态环境科学研究院, 郑州 450004 | | | 张越 | 河南省生态环境科学研究院, 郑州 450004 | | | 孙志华 | 河南省生态环境科学研究院, 郑州 450004 | | | 陈长虹 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 陈学军 | 河南省生态环境科学研究院, 郑州 450004 | xjch222@sohu.com | | 楼晟荣 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | | | 黄成 | 上海市环境科学研究院国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233 | |
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| 中文摘要 |
| 为研究周口市冬季大气细颗粒物污染特征及导致其暴发增长的主要影响因素，利用城区环境空气在线高时间分辨仪器对2022年1月周口市大气常规污染因子、细颗粒物中水溶性离子等进行观测分析.结果表明，二次无机气溶胶（SNA）、碳质气溶胶（CA，包括有机碳OC和无机碳EC）以及重构后的地壳物质（CM，如Al2 O3、SiO2、CaO和Fe2 O3等）是PM2.5中含量前三的组成，占比分别为61.3%、24.3%和9.72%，SNA、CA、CM和二次有机气溶胶（SOA）浓度均随AQI升高而升高.1月硫氧化率（SOR）和氮氧化率（NOR）分别为0.53和0.46，SO42-和NO3-增长速率［μg·（m3·h）-1］分别为0.027（-5.89~9.47，下同）和0.051（-23.1~12.4）.重污染时段SO42-和NO3-增长速率分别为0.13 μg·（m3·h）-1和0.24 μg·（m3·h）-1，较月均值高4.8倍和4.7倍.1月整体SOR大于NOR，但由于气态前体物浓度和相对湿度变化等影响，NO3-增长速率约是SO42-的1.8倍，重污染日NO3-增长速率显著高于SO42-.高AQI和高湿度时段SOR、NOR、SNA和SOA浓度均高于低AQI和低湿时段，大气氧化性Ox（NO2+O3）随湿度增加而下降.SOA夜间浓度高于白天，夜间浓度随湿度增加幅度大于白天，SNA昼夜浓度差异不显著随湿度有缓慢增加.结合周口本地情况，在低温、高湿和低风速条件下，需重点关注SNA气态前体物排放，加强对SO2和NO2主要排放源如移动源和燃煤源提前管控，可降低冬季大气重污染峰值. |
| 英文摘要 |
| The characteristics and main factors of causes of haze in Zhoukou in January 2022 were analyzed. Six air pollutants, water-soluble ions, elements, OC, EC, and other parameters in fine particulate matter were monitored and analyzed using a set of online high-time-resolution instruments in an urban area. The results showed that the secondary inorganic aerosols(SNA), carbonaceous aerosols(CA, including organic carbon OC and inorganic carbon EC), and reconstructed crustal materials(CM, such as Al2O3, SiO2, CaO, and Fe2O3, etc.) were the three main components, accounting for 61.3%, 24.3%, and 9.72% in PM2.5, respectively. The concentrations of SNA, CA, CM, and SOA were increased, accompanied with higher AQI. The sulfur oxidation rate(SOR) and nitrogen oxidation rate(NOR) in January were 0.53 and 0.46, respectively. The growth rates[μg·(m3·h)] of sulfate and nitrate were 0.027(-5.89-9.47, range) and 0.051(-23.1-12.4), respectively. During the haze period, the growth rates of sulfate and nitrate were 0.13 μg·(m3·h)-1and 0.24 μg·(m3·h)-1, which were 4.8 and 4.7 times higher than the average value of January, respectively. Although the sulfur oxidation rate was greater than the nitrogen oxidation rate, the growth rate of nitrate was approximately 1.8 times that of sulfate owing to the difference in the concentration of gaseous precursors and the influence of relative humidity. The growth rates of nitrate in SNA were significantly higher than those of sulfate on heavily polluted days. The values of SOR, NOR, and concentrations of SNA and SOA during higher AQI and humidity periods were higher than those in lower AQI and humidity periods. The Ox(NO2+O3) decreased with the increase in relative humidity. The SOA was higher at nighttime, increasing faster with the humidity than that in daytime. Under the situation of lower temperature, higher humidity, and lower wind speed, the emission of gaseous precursors of SNA requires further attention in Zhoukou in winter. Advanced control strategies of emissions of SO2 and NO2, such as mobile sources and coal-burning sources, could reduce the peak of haze in winter efficiently. |
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