节点文献
上海奉贤区大气细颗粒物PM2.5的特征研究与源排放清单的建立
Study on Characteristics of PM2.5 And Emissions Inventory in Shanghai Fengxian District
【作者】 陈磊;
【导师】 贾金平;
【作者基本信息】 上海交通大学 , 环境工程, 2014, 硕士
【摘要】 本论文主要通过奉贤区两个空气自动监测站和人工采样,获得大气PM2.5及其相关大气污染物的监测数据,分析奉贤区大气PM2.5的时间变化规律和区域分布特征,掌握大气PM2.5污染的时空变化状况,分析不同气象条件和天气条件下PM2.5的质量浓度特征。采用离线和在线分析相结合的方法测量PM2.5的质量浓度、水溶性离子、水溶性有机物、有机碳和元素碳、黑碳、非水溶性有机物、金属元素等化学组分含量,获得大气PM2.5化学组成的基本特性。采用排放系数法,根据各类污染源的技术特点、活动水平、燃料类型、排放方式、主要排放污染物、末端治理等相关参数,通过实地测试或文献调研等方式,计算出奉贤区燃烧设施、交通源和人为源的SO2、NOX、PM10、PM2.5、VOCS的排放总量,从而建立了奉贤区常规污染物的源排放清单。通过源排放清单得知,燃烧设施是奉贤区SO2、NOX、VOCS的第一来源,交通源和人为源是PM10、PM2.5的第一来源。奉贤区的污染物排放主要来源于工业锅炉使用、石化企业、有机化工等的排放,其排放分布在全区范围内的各镇、各街道。
【Abstract】 Based on the monitoring data, including automatic sample data from two stations in Fengxian District and also manual sample data, of PM2.5 and other related atmosphere pollutants, the time and space distributions of PM2.5 in Fengxian district have been done in this research, respectively. Mass concentration, water soluble ions, dissolved organic matter, organic carbon, element carbon, black carbon, nondissolved organic matter, heavy metal, and et al. of PM2.5 are measured offline and online, respectively, in order to understand the basic chemical composition of PM2.5 in ambient air.Emission coefficient method is introduced in this research. Based on the parameters, obtained by in situ measurement or literature survey, of pollution sources technical characteristics, activity level, fuel type, discharge way, main pollutants, terminal treatment, and et al., the total SO2, NOX, PM10, PM2.5, and VOCS discharge contents of combustion plants, transportation, and human activity are calculated, respectively. Lists of common pollutants emission are further developed. The result shows that combustion plants contribute most to SO2, NOX, and VOCS while transportation and human activity contribute more to PM10 and PM2.5. Most pollutants are from industrial boiler, petrochemical enterprises, and organic chemical industry, respectively. These pollutant sources locate in all the towns and streets in Fengxian District.
【Key words】 PM2.5; mass concentration; temporal and spatial variation; chemical constitution; emission inventory; Shanghai Fengxian District;