| 华北南部重污染城市周边区域二次气溶胶的化学特征及来源解析 |
| 摘要点击 2242 全文点击 584 投稿时间：2021-07-20 修订日期：2021-08-16 |
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| 中文关键词 重污染 PM1 PM2.5 来源解析 后向轨迹 潜在源区 |
| 英文关键词 heavy air pollution PM1 PM2.5 source apportionment backward trajectory potential source |
| 作者 | 单位 | E-mail | | 任秀龙 | 河北工程大学地球科学与工程学院, 邯郸 056038 | 13231532392@163.com | | 胡伟 | 天津大学地球系统科学学院, 天津 300072 | | | 吴春苗 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 胡偲豪 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 高娜娜 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 张崇崇 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 岳亮 | 河北省邯郸生态环境监测中心, 邯郸 056001 | | | 王金喜 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 樊景森 | 河北工程大学地球科学与工程学院, 邯郸 056038 | | | 牛红亚 | 河北工程大学地球科学与工程学院, 邯郸 056038 | niuhongya@hebeu.edu.cn |
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| 中文摘要 |
| 为探究华北南部地区重污染城市邯郸市北部地区冬季大气颗粒物的化学组分及来源，于2020年11月23日至12月12日采集了PM1和PM2.5样品并进行了分析.观测期间日平均ρ（PM1）和ρ（PM2.5）分别为114.53 μg·m-3和124.25 μg·m-3，PM1/PM2.5比值的变化范围为83.3%~95.3%，明显高于京津冀其他城市，表明邯郸地区细颗粒物尤其是亚微米颗粒物污染严重.与清洁天相比，重污染期间PM1中SNA（SO42-、NO3-和NH4+）增加14.5%，PM2.5中SNA增加15.2%，尤其氮氧化率（NOR）在重污染天增长3倍；随着污染程度的加深，PM1和PM2.5中二次有机碳（SOC）占比增加22.0%和12.5%，SOC易在粒径小的颗粒物中聚集，而PM1中一次有机碳（POC）和元素碳（EC）占比下降15.4%和6.6%，PM2.5中POC和EC占比下降8.2%和4.3%.上述结果表明二次形成对颗粒物重污染具有重要贡献.随着污染程度的加重，颗粒物中液态含水量增加，硫氧转化率（SOR）和氮氧转化率（NOR）均升高，表明液相化学反应对二次无机盐的生成具有重要贡献.随着污染程度的加深，无机元素呈上升趋势；无机元素中Se、As、Pb和Zn富集程度较高.根据主成分分析法（PCA）源解析结果，二次源、工业源、机动车源和生物质燃烧源是PM1和PM2.5主要的来源.潜在源贡献因子分析（PSCF）结果表明，SO42-、NO3-、EC、OC和无机元素的高值区域都主要来自观测区域的北方向和西南方向. |
| 英文摘要 |
| In order to explore the chemical composition and source profiles of atmospheric particulate matter in winter in the northern area of Handan, a heavily polluted city in the southern part of North China, PM1 and PM2.5 samples were collected and analyzed from November 23 to December 12, 2020. During the observation period, the daily average ρ(PM1)and ρ(PM2.5) were 114.53 μg·m-3 and 124.25 μg·m-3, respectively, and the ratio of PM1/PM2.5 was 83.3%-95.3%, which was significantly higher than those of other cities in the Beijing-Tianjin-Hebei region, indicating that air pollution of fine particulate matter, especially sub-micron particulate matter, was more serious in Handan. Compared with that during clean days, SNA (SO42-, NO3-, and NH4+) in PM1 increased by 14.5% during heavy pollution, and SNA in PM2.5 increased by 15.2%; the nitrogen oxidation rate (NOR) in particular increased by three times on heavy pollution days. With the deepening of pollution, the proportion of secondary organic carbon (SOC) in PM1 and PM2.5 increased by 22.0% and 12.5%, respectively. SOC tended to accumulate in small particles, whereas the proportion of primary organic carbon (POC) and elemental carbon (EC) in PM1 decreased by 15.4% and 6.6%, and the POC and EC in PM2.5 decreased by 8.2% and 4.3%, respectively. The above results indicated that secondary formation played an important role in the heavy pollution of particulate matter. With the aggravation of air pollution, the liquid water content of the particles increased, and both the sulfur oxidation ratio (SOR) and nitrogen oxidation ratio (NOR) increased, indicating that the aqueous phase chemical reaction made an important contribution to the formation of secondary inorganics. With the deepening of pollution, inorganic elements were on the rise; Se, As, Pb, and Zn were highly enriched in inorganic elements. The results of principal component analysis (PCA) showed that secondary formation, industrial emissions, vehicle exhaust, and biomass burning emissions were the main sources of particulate pollutants. The results of potential source contribution factor analysis (PSCF) showed that the high value areas of SO42-, NO3-, EC, OC, and inorganic elements were mainly from the north and southwest directions of the observation area. |
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