忠清南道排放源PM2.5组分特征研究

Ji-hye Shin, Y. Kim, Chun-Woong Park, Jung-jun Ahn, Hanqing Yu, Jong-sook Kim, Geum-hee Jeong, J. Choi
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引用次数: 2

摘要

我们在韩国忠清南道的四个地点进行了PM 2.5(直径≤2.5µm的颗粒)的主成分分析,以确定每个排放源的污染水平和PM 2.5成分的特征。4个监测点包括松山面(SS)附近的钢铁工业园区、dokgot里(DG)附近的石化工业园区、mojong洞(MJ)附近的住宅园区、内浦(NP)附近的村庄。对这些地点采集的样品进行分析,比较pm2.5中质量、离子、碳和元素的浓度。SS的质量浓度最高,其次是MJ、DG和NP。MJ的优势离子浓度为no3 - > so42 + > nh4 +, SS、DG和NP的优势离子浓度为so42 - > no3 - > nh4 +。结果表明,空气中机动车排放的nox浓度最高。有机碳浓度最高,为5.67 μg/m 3,元素碳浓度最高,为0.51 μg/m 3。pm2.5的元素组成分析表明,SS中Fe、Zn、Mn的浓度显著高于DG中As、V、Ni的浓度。每个排放源的不同成分分析结果表明,在制定降低pm2.5水平的措施时,需要了解每个地区污染物的分布情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Characteristics of PM2.5 Components from Emission Sources in Chungcheongnam-do
We conducted a principal component analysis of PM 2.5 (particles with a diameter ≤ 2.5 µm) at four sites located in Chungcheongnam-do, a province of South Korea, to determine the level of pollution and characteristics of PM 2.5 components at each emission source. The four monitoring sites included a steel complex near Songsan-myeon (SS) area, a petrochemical complex near Dokgot-ri (DG) area, a residential complex near Mojong-dong (MJ) area, and a village near Naepo (NP) area. Samples collected at these sites were analyzed and the concentrations of mass, ion, carbon, and element in PM 2.5 were compared. The mass concentrations were found to be the highest in SS, followed by MJ, DG, and NP. The concentration of dominant ion species were recorded in a ascending order of NO 3- > SO 42+ > NH 4+ in MJ and SO 42- > NO 3- > NH 4+ in SS, DG, and NP. The results indicate that MJ had the highest NO x concentration, which is emitted by automobiles. Moreover, MJ exhibited the highest organic carbon concentration of 5.67 μg/m 3 and elemental carbon concentration of 0.51 μg/m 3 . The analysis of the elemental composition of PM 2.5 indicated a significantly higher concentration of Fe, Zn, and Mn in SS and As, V, and Ni in DG. Different component analysis results from each emission source suggest the need to under-stand the distribution of pollutants in each region while establishing measures to reduce PM 2.5 levels.
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