| 泰州市大气挥发性有机物化学组分特征、活性及来源解析 |
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| 引用本文： | 樊凡,宋锴,俞颖,万子超,陆思华,唐荣志,陈仕意,曾立民,郭松.泰州市大气挥发性有机物化学组分特征、活性及来源解析[J].南京气象学院学报,2020,12(6):695-704. |
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| 作者姓名： | 樊凡 宋锴 俞颖 万子超 陆思华 唐荣志 陈仕意 曾立民 郭松 |
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| 作者单位： | 北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871,北京大学 环境科学与工程学院/环境模拟与污染控制国家重点联合实验室, 北京, 100871;南京信息工程大学 大气环境与装备技术协同创新中心, 南京, 210044 |
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| 基金项目： | 国家重点研发计划（2016YFC0202000）；国家自然科学基金（41977179，21677002，91844301） |
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| 摘 要： | 挥发性有机物（VOCs）是臭氧和大气颗粒物的重要前体物，本研究利用在线气相色谱-质谱仪（Online-GC-MS）于2018年5—6月对江苏省泰州市大气中98种VOCs进行监测，依据监测结果对泰州市大气VOCs的组成特征、日变化趋势进行分析，对醛酮类VOCs数据进行参数化拟合探究其一次二次贡献，并采用正矩阵因子分解模型（PMF）对VOCs数据进行来源分析，用最大增量反应活性（MIR）计算臭氧生成潜势（OFP）.研究结果表明：泰州市大气VOCs中烷烃占比最高，其次为醛酮；烷烃、烯烃、卤代烃和芳香烃浓度日变化趋势明显，特征相近；参数化方法表明醛类物质主要来自于二次生成，而酮类物质主要来自一次排放；PMF模型结果表明泰州市VOCs的主要贡献源分别为机动车排放、油气溶剂挥发、生物质燃烧、其他工业和天然源；OFP的主要贡献物种为烯烃类，占比34.18%.研究结果表明，控制工业排放和溶剂使用是泰州市大气污染物控制的重点.
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| 关 键 词： | 挥发性有机物 PMF源解析 臭氧生成潜势 |
| 收稿时间： | 2020/10/7 0:00:00 |
Chemical composition and source apportionment of ambient VOCs in Taizhou |
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| FAN Fan,SONG Kai,YU Ying,WAN Zichao,LU Sihu,TANG Rongzhi,CHEN Shiyi,ZENG Limin and GUO Song.Chemical composition and source apportionment of ambient VOCs in Taizhou[J].Journal of Nanjing Institute of Meteorology,2020,12(6):695-704. |
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| Authors: | FAN Fan SONG Kai YU Ying WAN Zichao LU Sihu TANG Rongzhi CHEN Shiyi ZENG Limin and GUO Song |
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| Institution: | College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871,College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871 and College of Environmental Sciences and Engineering/State Joint Key Laboratory of Environmental Simulation and Pollution Control, Peking University, Beijing 100871;Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing 210044 |
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| Abstract: | Volatile organic compounds (VOCs) are important precursors of ozone and atmospheric particulate matters.In this study,98 VOCs were measured by online Gas Chromatography-Mass Spectrometer (Online GC-MS) from May to June in 2018 at a regional site in Taizhou,Jiangsu province.The compositions and diurnal variations of VOCs in Taizhou were analyzed,followed by a parameterization approach to calculate primary emissions and secondary formation of aldehydes and ketones.Source apportionment was conducted using the EPA Positive Matrix Factorization (PMF 5.0),while the Ozone Formation Potential (OFP) was calculated using the Maximum Incremental Reactivity (MIR).The results indicated that alkanes accounted for the highest proportion of VOCs in Taizhou,followed by aldehydes and ketones.The diurnal profiles of alkanes,alkenes,halogenated hydrocarbon,and aromatics were similar.The parameterization method demonstrated that aldehydes mainly came from secondary formation,while ketones mainly came from primary emission.PMF model results showed that VOCs in Taizhou were mainly influenced by vehicle emission,solvent volatilization,biomass combustion,and other industrial or natural sources.OFP results indicated that alkenes were predominant,accounting for 34.18% of the total ozone formation potential.As a result,measures of reducing industrial emissions and the use of solvent will play an important role in air pollutant control strategies of Taizhou. |
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| Keywords: | volatile organic compounds(VOCs) source apportionment by positive matrix factorization ozone formation potential |
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