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区域大气细粒子污染特征及快速来源解析
引用本文:陈多宏,李梅,黄渤,蒋斌,张涛,江明,谢敏,钟流举,毕新慧,吕小明,张干,周振. 区域大气细粒子污染特征及快速来源解析[J]. 中国环境科学, 2016, 36(3): 651-659
作者姓名:陈多宏  李梅  黄渤  蒋斌  张涛  江明  谢敏  钟流举  毕新慧  吕小明  张干  周振
作者单位:1. 广东省环境监测中心, 国家环境保护区域空气质量监测重点实验室, 广东省环境保护大气二次污染研究重点实验室, 广东 广州 510308;2. 暨南大学大气环境安全与污染控制研究所, 广东 广州 510632;3. 广州禾信分析仪器有限公司, 广东 广州 510530;4. 中国科学院广州地球化学研究所, 有机地球化学国家重点实验室, 广东 广州 510640
基金项目:科技支撑项目资助(2014BAC21B03,2014BAC21B01);2014年广东省公益研究与能力建设专项资金(2014B020216005)
摘    要:在广东大气超级站使用单颗粒气溶胶飞行时间质谱仪(SPAMS)等仪器开展综合观测,2013年12月共监测到两个污染过程,主要的化学成分为元素碳(EC),占总颗粒数的56.8%,其次为有机碳(OC)和重金属(HM),分别占总颗粒数的12.7%和10.1%.两个污染过程中,不同颗粒类别的变化趋势有差异,说明两个污染过程的污染特征有所不同.污染来源分析发现,监测期间主要受到机动车尾气源和燃煤源的影响,二者分别占24.8%和22%;其次为工业工艺源和生物质燃烧,分别占16.4%和10.3%.第一个污染过程中,工业工艺源是首要污染源,而随着颗粒物浓度的增高,燃煤和二次无机气溶胶的比例明显增加,说明此污染过程中受一次污染源(燃煤源和工业工艺源)和二次光化学反应的复合影响.而第二个污染过程中,机动车尾气为首要污染源,其次是燃煤和工业工艺源,整个过程中各源的比例较为稳定,说明该次污染过程主要由不利气象条件导致的污染物累积形成.

关 键 词:超级站  SPAMS  大气细颗粒物  快速来源解析  
收稿时间:2015-06-24

The pollution characteristics and source apportionment of regional atmospheric fine particles
CHEN Duo-hong,LI Mei,HUANG Bo,JIANG Bin,ZHANG Tao,JIANG Ming,XIE Min,ZHONG Liu-ju,BI Xin-hui,LV Xiao-ming,ZHANG Gan,ZHOU Zhen. The pollution characteristics and source apportionment of regional atmospheric fine particles[J]. China Environmental Science, 2016, 36(3): 651-659
Authors:CHEN Duo-hong  LI Mei  HUANG Bo  JIANG Bin  ZHANG Tao  JIANG Ming  XIE Min  ZHONG Liu-ju  BI Xin-hui  LV Xiao-ming  ZHANG Gan  ZHOU Zhen
Abstract:Single particle aerosol mass spectrometer (SPAMS) was used to analyze the single particle characteristics of aerosols in Heshan, in December 2012. Two typical pollution processes were captured during the sampling period. The fine particles were dominated by elemental carbon (EC), which accounted for 56.8% of total particles. Organic carbon (OC) and heavy metal (HM) accounted for 12.7% and 10.1% of sampled particles, respectively. Different particle types showed different temporal profiles during the two pollution processes, indicating the characteristics of the two processes were different. The source apportionment results showed that the most important PM2.5 sources in this region were vehicle emission and coal combustion, accounting for 24.8% and 22% of PM2.5, respectively. Industry emission and biomass burning were also important, contributing 16.4% and 10.3% to total PM2.5 particles, respectively. During the first pollution process, industry emission was the most important source, and the contribution of coal combustion and secondary inorganic aerosol were found to be increasing with PM2.5 concentration, implying that primary emission as well as enhanced secondary photochemical reaction played important roles in the increasing of PM2.5 concentration. However, vehicle emission was the most important source during the secondary pollution process, and the proportion of each source was stable during the whole pollution process, indicating this process was induced by the accumulation of pollutants under unfavorable meteorological conditions.
Keywords:super monitoring station  SPAMS  atmospheric particles  fast source apportionment  
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