| 浙江金华秋季干气溶胶中主要化学组分的消光贡献解析 |
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| 引用本文： | 陈雯廷,黄晓锋,田旭东,朱乔,兰紫娟,何凌燕.浙江金华秋季干气溶胶中主要化学组分的消光贡献解析[J].环境科学学报,2017,37(11):4220-4226. |
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| 作者姓名： | 陈雯廷 黄晓锋 田旭东 朱乔 兰紫娟 何凌燕 |
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| 作者单位： | 北京大学深圳研究生院, 环境与能源学院, 城市人居环境科学与技术实验室, 深圳 518055,北京大学深圳研究生院, 环境与能源学院, 城市人居环境科学与技术实验室, 深圳 518055,浙江省环境监测中心, 杭州 310012,北京大学深圳研究生院, 环境与能源学院, 城市人居环境科学与技术实验室, 深圳 518055,北京大学深圳研究生院, 环境与能源学院, 城市人居环境科学与技术实验室, 深圳 518055,北京大学深圳研究生院, 环境与能源学院, 城市人居环境科学与技术实验室, 深圳 518055 |
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| 基金项目： | 国家自然科学基金（No.41622304）；深圳市科技计划 |
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| 摘 要： | 造成雾霾事件的主要原因是高浓度的大气细颗粒物污染.为了深入研究大气细颗粒物的消光来源,本研究采用高时间分辨率气溶胶观测仪器获得了浙江金华秋季PM1主要化学组分浓度及干气溶胶吸收系数和散射系数演变情况.结合有机气溶胶正矩阵因子解析模型(PMF)和多元线性回归方法,建立了拟合优度很高(R2=0.977)的细颗粒物中主要化学组分与干气溶胶消光系数间的定量关系模型.结果表明,观测期间消光贡献最大的是硫酸铵,贡献率为35.1%;其次是硝酸铵,贡献率为26.7%;二次有机气溶胶(SOA)、生物质燃烧有机气溶胶(BBOA)、黑碳(BC)及氯化铵的消光贡献率分别为14.3%、11.2%、8.7%、4.0%.在一些特定污染时段,BBOA具有最大的消光贡献,是导致此时大气能见度大幅度衰减的首要因子.
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| 关 键 词： | PM1 有机气溶胶 正矩阵因子解析（PMF） 消光 多元线性回归 |
| 收稿时间： | 2017/1/12 0:00:00 |
| 修稿时间： | 2017/5/25 0:00:00 |
Analysis of light extinction contributions of major components in dry aerosol in the autumn of Jinhua, China |
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| CHEN Wenting,HUANG Xiaofeng,TIAN Xudong,ZHU Qiao,LAN Zijuan and HE Lingyan.Analysis of light extinction contributions of major components in dry aerosol in the autumn of Jinhua, China[J].Acta Scientiae Circumstantiae,2017,37(11):4220-4226. |
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| Authors: | CHEN Wenting HUANG Xiaofeng TIAN Xudong ZHU Qiao LAN Zijuan and HE Lingyan |
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| Institution: | Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055,Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055,Environmental Monitoring Center of Zhejiang Province, Hangzhou 310012,Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055,Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055 and Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055 |
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| Abstract: | The occurrence of haze is mainly due to high concentrations of atmospheric fine particles. In order to further investigate the light extinction sources of fine particles, the mass concentrations of main components in PM1 and light extinction coefficients of dry aerosol in the autumn of Jinhua, China, were obtained using high resolution aerosol observation instruments. A high quality fitting formula was established by the multiple linear regression method based on the obtained data combined with the positive matrix factor analysis (PMF) model for organic aerosol. The results showed that during the sampling period, ammonium sulfate was the species with the highest light extinction contribution (ave. 35.1%) in dry aerosol, followed by ammonium nitrate (ave. 26.7%). The average contributions of secondary organic aerosol (SOA), biomass burning organic aerosol (BBOA), black carbon (BC), and ammonium chloride were 14.3%, 11.2%, 8.7%, and 4.0%, respectively. BBOA was found to contribute mostly in some pollution periods and was the primary factor leading to the quite low atmospheric visibility at that time. |
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| Keywords: | PM1 organic aerosol positive matrix factorization (PMF) light extinction multiple linear regression |
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