| 南京工业区夏冬季节二次有机气溶胶浓度估算及来源解析 |
| 摘要点击 2630 全文点击 3276 投稿时间：2016-10-24 修订日期：2016-11-23 |
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| 中文关键词 VOCs SOA浓度 FAC系数法 EC示踪法 PMF源解析 |
| 英文关键词 volatile organic compounds(VOCs) concentration of secondary organic aerosol fractional aerosol coefficients(FAC) EC tracer method positive matrix factorization model and source apportionment |
| 作者 | 单位 | E-mail | | 刘静达 | 南京信息工程大学, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044 | nuistljd@163.com | | 安俊琳 | 南京信息工程大学, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044 | junlinan@nuist.edu.cn | | 张玉欣 | 南京信息工程大学, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044 | | | 师远哲 | 南京信息工程大学, 气象灾害教育部重点实验室, 气候与环境变化国际合作联合实验室, 气象灾害预报预警与评估协同创新中心, 中国气象局气溶胶与云降水重点开放实验室, 南京 210044 | | | 林旭 | 杭州市环境监测中心站, 杭州 310007 | |
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| 中文摘要 |
| 采用2015年6月15日~7月15日及2015年12月16日~2016年1月15日期间GC5000在线气相色谱仪得到的挥发性有机物（volatile organic compounds，VOCs）数据、DRI-2001A热/光碳分析仪对膜采样分析得到的EC（elemental carbon）、OC（organic carbon）数据，使用气溶胶生成系数法（fractional aerosol coefficient，FAC）、EC示踪法及正矩阵因子分析（positive matrix factorization，PMF）对南京工业区二次有机气溶胶（secondary organic aerosol，SOA）浓度进行估算及来源解析.研究发现南京工业区SOA污染主要来源于芳香烃类物质，其对夏、冬季节SOA贡献率分别为80.39%、94.63%，主要贡献者为苯、甲苯、乙苯、二甲苯（benzene、toluene、ethylbenzene、xylene，BTEX）；对南京工业区SOA浓度进行估算，得到夏季SOA浓度值为5.84~20.88 μg·m-3，平均浓度为12.15 μg·m-3，冬季为2.17~17.73 μg·m-3，平均浓度为6.91 μg·m-3，冬季SOA浓度平均水平明显低于夏季.SOA浓度值随风速及降水量的增大而减小；使用PMF受体模型对VOCs进行源解析分析得到夏季SOA污染主要来源于涂料使用、石油加工及石油化工源，SOA贡献值分别为0.65、0.21、0.18 μg·m-3.冬季SOA污染主要来自于涂料使用，SOA贡献值为0.94 μg·m-3. |
| 英文摘要 |
| Volatile organic compounds (VOCs) were determined by GC5000, an automatic on-line Gas Chromatography-Flame Ionization Detector. Elemental carbon (EC) and organic carbon (OC) were determined by the thermal/optical method using DRI-2001A during the periods of June 15th-July 15th 2015 and December 16th 2015-January 15th 2016. The concentration of secondary organic aerosol(SOA) was estimated by fractional aerosol coefficients (FAC) and EC tracer method. The source apportionment relied on the positive matrix factorization model (PMF). There were several conclusions:First, aromatic hydrocarbon was the main substance causing the SOA pollution in the Nanjing Industrial district, the contributions of aromatic hydrocarbon to SOA during summer and winter were 80.39% and 94.63%, respectively. The main contributers were benzene, toluene, ethylbenzene, m,p-xylene and o-xylene (BTEX). In the summer, SOA concentration ranged from 5.84-20.88 μg·m-3 with an average of 12.15 μg·m-3 and in the winter ranged from 2.17-17.73 μg·m-3 in which the average concentration was 6.91 μg·m-3. Secondly, SOA concentration decreased when wind and precipitation increased. By using the PMF model, a total of 7sources of SOA were determined in summer and 6 were determined in winter. There were 3 main sources in summer, including painting, petroleum processing and petrochemical industry, and the contributions to SOA were 0.65 μg·m-3, 0.21 μg·m-3, 0.18 μg·m-3, respectively. In winter, the most important SOA pollution was from painting, in which the contribution was 0.94 μg·m-3. |
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