中文关键词在线源解析单颗粒气溶胶质谱仪(SPAMS)机动车尾气燃煤混合状态 英文关键词on-line source apportionmentsingle particle aerosol mass spectrometer (SPAMS)vehicle emissioncoal combustionmixing state

作者	单位	E-mail
于兴娜	南京信息工程大学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	xnyu@nuist.edu.cn
时政	南京信息工程大学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
马佳	广州禾信仪器股份有限公司, 广州 510530
李梅	暨南大学质谱仪器与大气环境研究所, 广州 510632 广东省大气污染在线源解析系统工程技术研究中心, 广州 510632
龚克坚	中国民用航空西北地区空中交通管理局宁夏分局气象台, 银川 750009

中文摘要 利用单颗粒气溶胶飞行时间质谱（SPAMS）于2015年12月1~31日对南京江北新区大气单颗粒进行了测量，共采集到同时含有正负离子谱图的颗粒747.8万个.结果表明，监测期间南京江北新区总体空气质量较差，污染天气占比为49.2%，SPAMS所捕获的颗粒数与PM_2.5质量浓度的相关性达到0.83，因此颗粒物数浓度在一定程度上能够用来反映大气污染状况，监测点主要污染源包括燃煤源以及机动车尾气源，工业工艺源污染占比居第3位，3种源的总贡献率达到63.5%.从整体上看，PM_2.5质量浓度的升高大多伴随着燃煤及机动车尾气占比的升高，EC、混合碳（ECOC）与OC在生物质燃烧、扬尘、汽车尾气排放、燃煤燃烧以及工业源中均与NO₂^-、NO₃^-以及SO₄^-有较高的混合程度. 英文摘要 To characterize the ambient particles in the Nanjing Jiangbei New Area, a single particle aerosol mass spectrometer (SPAMS) was deployed from December 1 to 31, 2015. A total of 7.478 million particles were analyzed with both positive and negative ion spectra. The air quality of Nanjing during the measurement period was poor, and the percentage of pollution days was 49.2%. The correlation (R) between the SPAMS particle number and PM_2.5 concentration was 0.83, showing that the particle number could reflect the trend in the variation of atmospheric pollution. The dominant pollutant source at the monitoring site was coal combustion, followed by vehicle emissions and industrial emissions, with a contribution ratio of 63.5%. The increase in the PM_2.5 mass concentration was accompanied by a high proportion of coal combustion or vehicle emissions. A high mixing state between EC, ECOC, and OC and NO₂^-, NO₃^-, and SO₄^- was observed for the sources of biomass burning, dust, vehicle emissions, coal combustion, and industrial emissions.

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