| 洛阳市大气细颗粒物化学组分特征及溯源分析 |
| 摘要点击 2420 全文点击 702 投稿时间：2021-04-24 修订日期：2021-06-02 |
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| 中文关键词 PM2.5 来源解析 化学质量平衡(CMB)模型 后向轨迹(HYSPLIT)模型 聚类分析 汾渭平原 |
| 英文关键词 PM2.5 source apportionment chemical mass balance (CMB) model hybrid single-particle Lagrangian integrated trajectory (HYSPLIT) model cluster analysis Fen-Wei Plain |
| 作者 | 单位 | E-mail | | 孙佳傧 | 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 | sunjiabin0371@163.com | | 董喆 | 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 | | | 李利萍 | 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 | | | 刘洋 | 郑州大学环境科学研究院, 郑州 450001 | | | 陈红阳 | 郑州大学环境科学研究院, 郑州 450001 | | | 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 | rqzhang@zzu.edu.cn |
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| 中文摘要 |
| 为研究洛阳市大气细颗粒物（PM2.5）的化学组分及来源的时空分布特征，对汾渭平原地区较为欠缺的PM2.5相关研究进行补充，在2018年4月至2019年1月在洛阳市高新和林校2个点位进行了样品采集，对ρ（PM2.5）、化学组分（水溶性离子、碳质组分、元素）和来源进行分析.2个点位的年均ρ（PM2.5）分别为（76.6±37.9）μg·m-3和（83.2±38.9）μg·m-3，季节变化由高到低均为：冬季、春季、秋季和夏季.高新和林校的9种水溶性离子浓度分别占PM2.5的55.1%和54.2%，林校的二次离子（NO3-、SO42-和NH4+）年均浓度之和高于高新.高新和林校的ρ[有机碳（OC）]、ρ[元素碳（EC）]分别为（12.4±7.7）μg·m-3、（1.2±0.5）μg·m-3和（13.4±7.7）μg·m-3、（1.3±0.5）μg·m-3，林校的含碳组分在各季节均高于高新；高新和林校冬季的二次有机碳（SOC）在OC中质量分数分别为67.8%和77.3%，远高于其他季节.化学质量平衡结果表明，高新和林校的主要贡献源均为二次硝酸盐（26.9%和27.1%）、二次硫酸盐（14.5%和14.8%）、燃煤（12.6%和11.6%）、SOA（10.8%和12.2%），高新的生物质源贡献较高，而林校的扬尘源和机动车源贡献较高.后向轨迹和潜在源贡献因子分析表明，洛阳市春季不仅受到来自西北方向的传输，来自西南地区的污染传输也不能忽略；夏季既受到正东方向的季风影响，又有来自正南方向的潜在污染；秋季污染物主要来自东南方向，同时也存在西北方向的潜在来源；冬季受到的传输影响则主要来自周边区域，污染来源较为集中. |
| 英文摘要 |
| To study the temporal and spatial distribution characteristics of the chemical components and sources of atmospheric fine particulate matter (PM2.5) in Luoyang and to supplement the relative lack of PM2.5-related research in the Fen-Wei Plain, samples were collected at two sites (Gaoxin and Linxiao) in Luoyang from April 2018 to January 2019, and the mass concentration, chemical composition (water-soluble ions, carbonaceous components, and elements), and sources of PM2.5 were analyzed. The annual average ρ(PM2.5) at the two sites were (76.6±37.9) μg·m-3 and (83.2±38.9) μg·m-3, respectively. PM2.5 showed the highest average concentration in winter, followed by spring and autumn, and the lowest in summer. The concentrations of nine water-soluble ions of Gaoxin and Linxiao accounted for 55.1% and 54.2% of PM2.5, of which secondary ions (NO3-, SO42-, and NH4+) in Linxiao were higher than those in Gaoxin. The annual average concentrations of organic carbon (OC) and elemental carbon (EC) were (12.4±7.7) μg·m-3 and (1.2±0.5) μg·m-3 in Gaoxin and (13.4±7.7) μg·m-3 and (1.3±0.5) μg·m-3 in Linxiao, respectively, and the average concentrations of carbonaceous constituents during the four seasons in Linxiao were higher than those in Gaoxin. The secondary organic carbon (SOC) of Gaoxin and Linxiao in winter accounted for 67.8% and 77.3% of OC, respectively, which was much higher than that in the other seasons. The results of the chemical mass balance model suggested that the main contribution of PM2.5 in the two sites were secondary nitrate (26.9% and 27.1%), secondary sulfate (14.5% and 14.8%), coal combustion (12.6% and 11.6%), and secondary organic aerosol (10.8% and 12.2%). The contribution of biomass burning was higher in Gaoxin than that in Linxiao, whereas fugitive dust and vehicle emissions contributed more to the PM2.5 in Linxiao. The analysis of backward trajectory and potential source contribution function showed that Luoyang was not only affected by pollutant transport from the northwest direction but also from the southwest region in spring. In summer, it was affected by the monsoon in the due east direction and some potential pollution from due south. In autumn, pollutants mainly came from the southeast, but there were also potential sources in the northwest. The pollutant transport in winter was mainly from the surrounding areas, and the pollution sources were more concentrated. |
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