摘要
利用颗粒物同步混合实时监测仪、气溶胶化学组分监测仪(ACSM)、大气多金属元素在线监测仪、黑碳仪等在线仪器于2020年12月27日~2021年1月31日在深圳观测了PM_(2.5)及其化学组分.结果显示,深圳市PM_(2.5)在观测期间平均浓度为(32.2±17.0)µg/m^(3).其中,有机物在PM_(2.5)中浓度最高,均值为(15.4±9.5)µg/m^(3),其次是NO_(3)^(-)、SO_(4)^(2-)、BC、NH_(4)^(+)和元素,浓度分别为(4.3±3.9),(3.8±2.1),(2.7±1.6),(2.5±1.7)和(1.9±1.2)µg/m^(3).本研究将ACSM获取的有机质谱信息(m/z 44)作为二次有机气溶胶(SOA)的示踪物纳入PMF(正交矩阵因子分解)模型,成功地识别了SOA.源解析结果显示,SOA对深圳市冬季PM_(2.5)贡献了23.8%,机动车排放、二次硝酸盐、二次硫酸盐、生物质燃烧和扬尘分别贡献了21.7%、15.3%、15.2%、8.2%和5.7%,船舶排放、工业排放和燃煤对PM_(2.5)的贡献在1.6%~3.3%.污染源的日变化分析和潜在来源分析结果表明,SOA、二次硝酸盐、机动车、扬尘、工业排放等污染源受本地排放的影响更突出,二次硫酸盐、生物质燃烧、燃煤、船舶排放受区域传输的影响更突出.结果表明未来深圳市PM_(2.5)污染防治应强化机动车、扬尘、工业等本地污染源的排放控制,同时针对燃煤、生物质燃烧和船舶排放要加强与周边城市大气污染联防联控工作.
This work conducted high time resolution observations of PM_(2.5)and its chemical composition during December 27th in 2020 to January 31th in 2021 in Shenzhen using a hybrid synchronous mixing real-time environmental particulate matter monitor,aerosol chemical speciation monitor(ACSM),aethalometer,and automated multi-metals monitor.During the observational period,the average concentrations of PM_(2.5)was 32.2±17.0µg/m^(3).Organic matter was the most abundant component of PM_(2.5),with average concentration of 15.4±9.5µg/m^(3),followed by NO_(3)^(-)(4.3±3.9µg/m^(3)),SO_(4)^(2-)(3.8±2.1µg/m^(3)),BC(2.7±1.6µg/m^(3)),NH4+(2.5±1.7µg/m^(3)),and elements(1.9±1.2µg/m^(3)).The mass spectra information(m/z 44)obtained from ACSM,as the tracer of the secondary organic aerosol(SOA),was introduced into PMF(Positive Matrix Factorization)model to identify SOA.PMF results showed that PM_(2.5)during winter in Shenzhen was dominated by SOA,vehicle emissions,secondary nitrate,secondary sulfate,biomass burning,and fugitive dust,which were accounting for 23.8%,21.7%,15.3%,15.2%,8.2%,and 5.7%of PM_(2.5)mass concentrations,respectively.In addition,ship emissions,industrial emissions,and coal combustion had relatively small contributions,ranging from 1.6%to 3.3%of PM_(2.5).The diurnal variations of each source and the potential source area were analyzed and found that local emissions played an important role for SOA,secondary nitrate,vehicle emissions,fugitive dust,and industrial emissions,while regional transmission played an important role for secondary sulfate,biomass burning,coal combustion,and ship emissions.The findings in this work highlight that further decreasing PM_(2.5)level in Shenzhen needs to control the local emissions(e.g.vehicle emissions,fugitive dust,industrial emissions)and joint prevent coal combustion,biomass burning,and ship emissions.
作者
林楚雄
姚沛廷
彭杏
古添发
孙天乐
云龙
何凌燕
黄晓锋
LIN Chu-xiong;YAO Pei-ting;PENG Xing;GU Tian-fa;SUN Tian-le;YUN Long;HE Ling-yan;HUANG Xiao-feng(Shenzhen Environmental Monitoring Center ofGuangdong Province,Shenzhen 518049,China;Laboratory of Atmospheric Observation Supersite,School of Environment andEnergy,Peking University Shenzhen Graduate School,Shenzhen 518055,China)
出处
《中国环境科学》
EI
CAS
CSCD
北大核心
2023年第2期506-513,共8页
China Environmental Science
基金
深圳市科技计划项目(GXWD20201231165807007-202008-08165742001)。
