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韩国首尔市中心城区的环境颗粒物。

Ambient particulate matter in a central urban area of Seoul, Korea.

作者信息

Vellingiri Kowsalya, Kim Ki-Hyun, Ma Chang-Jin, Kang Chang-Hee, Lee Jin-Hong, Kim Ik-Soo, Brown Richard J C

机构信息

Department of Civil and Environmental Engineering, Hanyang University, 222, Wangsimni-Ro, Seoul 133-791, South Korea.

Department of Civil and Environmental Engineering, Hanyang University, 222, Wangsimni-Ro, Seoul 133-791, South Korea.

出版信息

Chemosphere. 2015 Jan;119:812-819. doi: 10.1016/j.chemosphere.2014.08.049. Epub 2014 Sep 15.

DOI:10.1016/j.chemosphere.2014.08.049
PMID:25218979
Abstract

The concentrations of PM2.5 and PM10 were monitored at a central urban area of Yongsan (YS), Seoul, Korea during 2013. The daily average concentrations of both PM2.5 and PM10 fractions, were 26.6±12.6 and 45.0±20.4 μg m(-3), respectively. The observed PM2.5 concentration slightly exceeded the annual standard value (25 μg m(-3)) set by the Korean Ministry of Environment (KMOE), while that of PM10 was slightly lower than its guideline value (50 μg m(-3)). Comparison of the monthly mean values (μg m(-3)) of both PM fractions showed maximum concentrations in January (PM2.5: 36.9 and PM10: 59.7) and minimum concentrations in September (PM10: 28.1) and October (PM2.5: 14.9). The existence of strong correlations between the concentrations of PM and some gaseous pollutants (e.g., CO, SO2, and NOx) indicated the commonality of contributing source processes, such as traffic and industrial emissions. The results of a back-trajectory (BT) analysis also suggests that the PM pollution in the study area is likely to have been affected by many sources such as Asian dust, volcanic emissions, and industrial activities in the surrounding countries (China, Russia, and Japan).

摘要

2013年期间,在韩国首尔龙山区的一个市中心区域对PM2.5和PM10的浓度进行了监测。PM2.5和PM10组分的日平均浓度分别为26.6±12.6和45.0±20.4 μg m(-3)。观测到的PM2.5浓度略超过韩国环境部(KMOE)设定的年标准值(25 μg m(-3)),而PM10的浓度略低于其指导值(50 μg m(-3))。两种颗粒物组分月均值(μg m(-3))的比较显示,1月份浓度最高(PM2.5:36.9,PM10:59.7),9月份(PM10:28.1)和10月份(PM2.5:14.9)浓度最低。PM浓度与一些气态污染物(如CO、SO2和NOx)之间存在强相关性,这表明交通和工业排放等贡献源过程具有共性。后向轨迹(BT)分析结果还表明,研究区域的PM污染可能受到亚洲沙尘、火山排放以及周边国家(中国、俄罗斯和日本)工业活动等多种来源的影响。

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