| 摘要: |
| 2020年在位于泰州市主城区大气细颗粒物（PM2.5）质量浓度高值区的莲花国控空气站点进行手工采样,分析了大气PM2.5的质量浓度和元素组成，以及离子、有机碳和元素碳的质量浓度。根据监测结果，采用正定矩阵因子分解（PMF）受体模型对其来源进行解析。结果显示，莲花站点大气PM2.5中主要组分包括有机物、硝酸盐、硫酸盐、铵盐、地壳物质、氯盐、钾盐、黑炭、微量元素和钠盐，占比分别为35.7%，25.6%，13.9%，11.9%，6.1%，2.3%，1.5%，1.5%，0.8%和0.7%，有机物、硝酸盐、硫酸盐、铵盐为首要污染组分，这4类物质对PM2.5的累计贡献为87.1%。根据解析结果与实际污染特征，提出应优化城市路网结构，强化工地扬尘管控，全面取缔燃煤炉和严抓秸秆禁烧工作等控制对策。 |
| 关键词: 泰州 细颗粒物 浓度高值区 源解析 |
| DOI： |
| 分类号:X823 |
| 基金项目:江苏省PM2.5和臭氧污染协同控制重大专项基金资助项目（2019023）；泰州市科技支撑计划（社会发展）基金资助项目（TS201709） |
|
| Source Apportionment of the Zone with High PM2.5 Value in Taizhou City in 2020 |
|
CHENG Ying, PENG Ting, WANG Yu-xiang, WU Ying
|
|
Jiangsu Taizhou Environmental Monitoring Center, Taizhou, Jiangsu 225300, China
|
| Abstract: |
| In 2020, Lianhua station was selected to conduct manual sampling in the area with high PM2.5 value in Taizhou city. The mass concentration, elemental composition, ion, organic carbon and elemental carbon of PM2.5 were analyzed. Positive Matrix Factorization (PMF) was used for source apportionment. The results showed that the main components of the atmospheric PM2.5at Lianhua were organic matter (OM, 35.7%), nitrate (NO3-, 25.6%), sulfate (SO42-, 13.9%), ammonium (NH4+,11.9%), crustal material (6.1%), chloride (Cl-, 2.3%), potassium (K+, 1.5%), elemental carbon (EC, 1.5%), trace elements (0.8%) and sodium (Na+, 0.7%). The organic matter, nitrate, sulfate and ammonium were the four primary pollutants which totally accounted for 87.1% of the atmospheric PM2.5. According to the apportionment results and the pollution characteristics, a series of control measures were proposed to deal with the regional PM2.5 pollution, such as optimizing the structure of urban road networks, enhancing the control of flying dust, banning coal combustion furnance and straw buurning, and so on . |
| Key words: Taizhou PM2.5 Zone with high concentration Source apportionmen |
