深圳市典型混合功能区PM2.5源解析研究

为精准识别深圳市典型商业、居住与工业混合功能区的PM_2.5污染来源，选取深圳市北部地区5个点位于2017年9月~2018年8月全年进行PM_2.5的样品采集和组分分析，利用优化的多元线性引擎模型（ME-2）对其主要来源及其时空变化特征进行探索.结果显示，研究区域研究时段的大气PM_2.5年均浓度为29.0μg/m³，解析出了SO₂二次转化（19.9%）、机动车（15.1%）、生物质燃烧（11.2%）等10种来源，其中SO₂二次转化、生物质燃烧、NO_x二次转化、VOCs二次转化、工业排放、老化海盐和远洋船舶源具有显著的区域传输特征，而机动车源、燃煤和扬尘具有本地源特征，受到局地排放的影响较大.重污染天气下机动车源、NO_x二次转化、工业排放及生物质燃烧源的增加最为显著，加强这些源的控制是此类混合功能区PM_2.5污染精细化防治的关键.

Source analysis of PM2.5 in the typical mixed functional zone of Shenzhen

In order to accurately identify the source of PM_2.5 pollution in the typical commercial, residential and industrial mixed functional areas of the Shenzhen, this study selected five points in the northern part of Shenzhen to be located in the northern part of Shenzhen from September 2017 to August 2018. The sample collection and composition analysis of particles with a dynamic diameter of less than 2.5μm, using the optimized multivariate linear engine model (ME-2) to explore its main sources and their temporal and spatial characteristics. The results show that the study period of the study area The annual average concentration of PM_2.5 in the atmosphere is 29.0μg/m³, and 10 sources of SO₂ secondary conversion(19.9%), motor vehicles(15.1%), biomass combustion(11.2%), etc. are analyzed, of which SO₂ secondary conversion, biomass combustion, NO_x secondary conversion, VOCs secondary conversion, industrial emissions, aged sea salt and ocean-going ship sources have significant regional transmission characteristics, while motor vehicle sources, coal burning and dust have local source characteristics and are subject to local emissions. The impact is greater. Motor vehicle sources, NO_x secondary conversion sources, industrial emissions and biomass combustion sources have increased most significantly under heavy pollution weather. Strengthening the control of these sources is the key to the refined prevention and control of PM_2.5 pollution in such mixed functional areas.