Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China; Shenzhen Research Academy of Environmental Sciences, Shenzhen 518001, China.
Key Laboratory for Urban Habitat Environmental Science and Technology, School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
J Environ Sci (China). 2018 Jan;63:277-284. doi: 10.1016/j.jes.2017.07.016. Epub 2017 Jul 29.
Haze in China is primarily caused by high pollution of atmospheric fine particulates (PM). However, the detailed source structures of PM light extinction have not been well established, especially for the roles of various organic aerosols, which makes haze management lack specified targets. This study obtained the mass concentrations of the chemical compositions and the light extinction coefficients of fine particles in the winter in Dongguan, Guangdong Province, using high time resolution aerosol observation instruments. We combined the positive matrix factor (PMF) analysis model of organic aerosols and the multiple linear regression method to establish a quantitative relationship model between the main chemical components, in particular the different sources of organic aerosols and the extinction coefficients of fine particles with a high goodness of fit (R=0.953). The results show that the contribution rates of ammonium sulphate, ammonium nitrate, biomass burning organic aerosol (BBOA), secondary organic aerosol (SOA) and black carbon (BC) were 48.1%, 20.7%, 15.0%, 10.6%, and 5.6%, respectively. It can be seen that the contribution of the secondary aerosols is much higher than that of the primary aerosols (79.4% versus 20.6%) and are a major factor in the visibility decline. BBOA is found to have a high visibility destroying potential, with a high mass extinction coefficient, and was the largest contributor during some high pollution periods. A more detailed analysis indicates that the contribution of the enhanced absorption caused by BC mixing state was approximately 37.7% of the total particle absorption and should not be neglected.
中国的霾主要是由大气细颗粒物(PM)的高度污染引起的。然而,PM 消光的详细源结构尚未得到很好的确定,尤其是各种有机气溶胶的作用,这使得霾管理缺乏明确的目标。本研究使用高时间分辨率的气溶胶观测仪器,获得了广东省东莞市冬季细颗粒的化学成分质量浓度和消光系数。我们结合有机气溶胶的正定矩阵因子(PMF)分析模型和多元线性回归方法,建立了主要化学组成之间的定量关系模型,特别是不同来源的有机气溶胶与细颗粒消光系数之间的关系,拟合优度高(R=0.953)。结果表明,硫酸铵、硝酸铵、生物质燃烧有机气溶胶(BBOA)、二次有机气溶胶(SOA)和黑碳(BC)的贡献率分别为 48.1%、20.7%、15.0%、10.6%和 5.6%。可以看出,二次气溶胶的贡献远高于一次气溶胶(79.4%对 20.6%),是能见度下降的主要因素。发现 BBOA 具有较高的能见度破坏潜力,其质量消光系数较高,在一些高污染时期是最大的贡献者。更详细的分析表明,BC 混合状态引起的增强吸收的贡献约占总颗粒吸收的 37.7%,不容忽视。