| 新乡市大气PM2.5中水溶性离子的污染特征、来源解析及气象影响分析 |
| 摘要点击 827 全文点击 176 投稿时间：2023-03-31 修订日期：2023-05-29 |
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| 中文关键词 PM2.5 水溶性无机离子 污染特征 来源解析 气象要素 新乡 |
| 英文关键词 PM2.5 water-soluble inorganic ions pollution characteristics source apportionment meteorological factors Xinxiang |
| 作者 | 单位 | E-mail | | 刘桓嘉 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | liuhuanjia@htu.edu.cn | | 李岚清 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 李焕莉 | 洛阳市生态环境局新安分局, 洛阳 471800 | | | 任言 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 许梦源 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 贾梦珂 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 刘恒志 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 杨莹 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 宋天颂 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | | | 洪启航 | 河南师范大学环境学院, 黄淮水环境污染与防治教育部重点实验室, 河南省环境污染控制重点实验室, 新乡 453007 | |
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| 中文摘要 |
| 为探究新乡市大气PM2.5中水溶性无机离子（WSIIs）的污染演变、来源特征及其气象影响，利用URG-9000在线监测系统于2022年1月（冬季）、4月（春季）、7月（夏季）和10月（秋季）对PM2.5组分进行在线观测.结果表明，TWSIIs（总水溶性无机离子）与PM2.5的季节变化特征一致，季度ρ（TWSIIs）均值变化范围为19.62~72.15 μg·m-3，在PM2.5中的占比超过66%，WSIIs是大气PM2.5的重要组分.年均NO3-/SO42-（质量浓度比）为2.11，且呈现逐年增加的趋势，移动源对二次无机气溶胶（SNA）的影响不容忽视，年均[NH4+]/[NO3-]（量比）为1.95，说明农业源是大气中氮的主要贡献者.后向轨迹分析表明，在盛行东北风且风速较大时，PM2.5中Ca2+和Mg2+的浓度较高.低温高湿的气象条件下（T<8℃，RH>60%），SOR和NOR值均较高，更多的气态前体物SO2和NO2转化为颗粒态的SO42-和NO3-.与SOR不同，在高温条件下（T>24℃），NOR并没有表现出高值特征，与高温条件下NH4NO3的分解有关.结合PMF和后向轨迹分析，来自西北方向的气团所对应的扬尘源对WSIIs的贡献较大，观测站点周边区域的低空低速气团所对应的二次硫酸盐以及二次硝酸盐和生物质源对WSIIs的贡献较大. |
| 英文摘要 |
| Pollution variation, source characteristics, and meteorological effects of water-soluble inorganic ions (WSIIs) in PM2.5 were analyzed in Xinxiang city, Henan Province. PM2.5 samples and their chemical components were monitored online by using URG-9000 in four seasons:winter (January, 2022), spring (April, 2022), summer (July, 2022), and fall (October, 2022). The results showed that the TWSIIs had the same seasonal fluctuations as PM2.5. The average seasonal concentrations of WSIIs ranged from 19.62-72.15 μg·m-3, accounting for more than 60% of PM2.5, demonstrating that WSIIs were the major components of PM2.5. The annual concentration value of NO3-/SO42- was 2.11, which showed an increasing trend, suggesting predominantly mobile sources for secondary inorganic aerosols (SNA). Further, the molar concentration value [NH4+]/[NO3-] was 1.95, demonstrating that agriculture emissions were the dominant contributors to atmospheric nitrogen. Furthermore, the backward trajectory analysis showed that the concentrations of Ca2+ and Mg2+ were higher when the northeasterly wind prevailed and the wind speed was high. High values of SOR and NOR were correlated with low temperatures and high relative humidity (T < 8℃, RH > 60%), demonstrating that more gaseous precursors were converted into sulfate and nitrate. At high temperatures (T > 24℃), there was no apparent high NOR value like that for SOR, mainly due to the decomposition of NH4NO3 at high temperatures. Finally, backward trajectories associated with the PMF-resolved results were used to explore the regional transport characteristics. The results illustrated that dust sources in the study areas were mainly influenced by air trajectories originating from the northwest regions, whereas secondary sulfate, secondary nitrate, and biomass sources contributed more to WSIIs when wind speed and altitude air masses were low in the area surrounding the observation site. |
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