| 聊城市冬季PM2.5中水溶性化合物的昼夜变化特征及来源解析 |
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| 引用本文： | 衣雅男,侯战方,孟静静,燕丽,王心培,刘晓迪,伏梦璇,魏本杰.聊城市冬季PM2.5中水溶性化合物的昼夜变化特征及来源解析[J].环境科学,2019,40(10):4319-4329. |
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| 作者姓名： | 衣雅男 侯战方 孟静静 燕丽 王心培 刘晓迪 伏梦璇 魏本杰 |
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| 作者单位： | 聊城大学环境与规划学院,聊城,252000;聊城大学环境与规划学院,聊城252000;中国科学院地球环境研究所,黄土与第四纪地质国冢重点实验室,西安710061;生态环境部环境规划院,北京,100012;华东师范大学地理科学学院,地理信息科学教育部重点实验室,上海200062 |
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| 基金项目： | 国家自然科学基金项目（41505112，41702373）；山东省自然科学基金项目（BS2015HZ002）；黄土与第四纪地质国家重点实验室开放基金项目（SKLLQG1504）；大学生创新创业项目（CXCY2017046） |
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| 摘 要： | 为探究聊城市冬季PM_(2.5)中水溶性物质的昼夜变化特征及其来源,于2017年1～2月进行PM_(2.5)样品采集,对其水溶性无机离子、乙二酸和左旋葡聚糖等水溶性化合物进行分析,并采用主成分分析-多元线性回归模型(PCA-MLR)对其来源进行解析.结果表明,采样期间聊城市PM_(2.5)平均质量浓度为(132. 6±65. 4)μg·m-3,是国家二级标准的1. 8倍,且夜晚PM_(2.5)的污染程度略高于白天. SNA(SO24-、NO3-和NH4+)是聊城市PM_(2.5)中最主要的水溶性离子,在白天与夜晚占总离子的质量分数为73. 4%和77. 1%,说明聊城市冬季二次污染较严重.白天与夜晚阴阳离子平衡当量比值(AE/CE)都小于1,说明PM_(2.5)呈碱性,且夜晚PM_(2.5)的酸性比白天强.无论在白天还是晚上,NH4+的主要存在形态均为NH4HSO4和NH4NO3.通过相关性分析,证实了乙二酸是在液相中经酸催化的二次氧化反应形成的,且受生物质燃烧的影响很强.通过PCA-MLR模型分析可知,聊城市冬季PM_(2.5)中的水溶性化合物主要来自机动车尾气及其二次氧化、生物质燃烧,而受矿物粉尘与煤炭燃烧的影响较小.
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| 关 键 词： | 无机离子 乙二酸 左旋葡聚糖 PM2.5 聊城 |
| 收稿时间： | 2019/3/5 0:00:00 |
| 修稿时间： | 2019/4/19 0:00:00 |
Diurnal Variations and Source Analysis of Water-soluble Compounds in PM2.5 During the Winter in Liaocheng City |
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| YI Ya-nan,HOU Zhan-fang,MENG Jing-jing,YAN Li,WANG Xin-pei,LIU Xiao-di,FU Meng-xuan and WEI Ben-jie.Diurnal Variations and Source Analysis of Water-soluble Compounds in PM2.5 During the Winter in Liaocheng City[J].Chinese Journal of Environmental Science,2019,40(10):4319-4329. |
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| Authors: | YI Ya-nan HOU Zhan-fang MENG Jing-jing YAN Li WANG Xin-pei LIU Xiao-di FU Meng-xuan and WEI Ben-jie |
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| Institution: | School of Environment and Planning, Liaocheng University, Liaocheng 252000, China,School of Environment and Planning, Liaocheng University, Liaocheng 252000, China;State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi''an 710061, China,School of Environment and Planning, Liaocheng University, Liaocheng 252000, China;State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi''an 710061, China,Chinese Academy for Environmental Planning, Beijing 100012, China,Key Laboratory of Geographic Information Science, Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200062, China,School of Environment and Planning, Liaocheng University, Liaocheng 252000, China,School of Environment and Planning, Liaocheng University, Liaocheng 252000, China and School of Environment and Planning, Liaocheng University, Liaocheng 252000, China |
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| Abstract: | To investigate the diurnal variations and sources of water-soluble compounds in Liaocheng City, PM2.5 samples were collected between January and February 2017. The PM2.5 samples were analyzed for the compositions, concentrations, and sources of water-soluble inorganic ions, oxalic acid, and levoglucosan. The sources of these chemical compound were investigated using principal component analysis (PCA) and multiple linear regression (MLR) modeling. The results showed that the mass concentrations of PM2.5during the nighttime were higher than those during the daytime, and the average concentrations exceeded the National Ambient Air Quality Standard (GB 3095-2012) by more than 1.8 times. Moreover, atmospheric pollution was worse during the day than during the night. SNA (SO42-, NO3-, and NH4+) were the dominant species among the inorganic ions, the relative abundance of which with respect to the total concentrations of inorganic ions was 73.4% and 77.1% during the daytime and nighttime, respectively. The ratios of anion to cation equivalents (AE/CE) were less than one, suggesting that the PM2.5 was slightly alkaline, and the degree of acidity at night was stronger than during the day. The results of the correlation analyses suggested that aqueous-phase oxidation was the major formation pathway of oxalic acid, which is driven by acid-catalyzed oxidation. The oxalic acid was mainly influenced by biomass burning during the winter in Liaocheng City. The results of the PCA-MLR model suggested that water-soluble compounds in Liaocheng City were mostly from vehicular emissions and secondary oxidation, biomass burning, while the impacts of mineral dust and coal burning were relatively minor. |
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| Keywords: | inorganic ions oxalic acid levoglucosan PM2 5 Liaocheng City |
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