Hye-young K Park, Hyun-Su Park, Bo-ram Lee, Hee-Jin Choi, Hak-Rim Kim, Hee-Jung Lim, Chan-O Park, Ik-San Kim, Gui-Hwan Park, Doo-Young Jeon, M. Bae
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引用次数: 0

摘要

采用源分配模型对光阳湾丽水和顺天两个居民区的PM-2.5源贡献进行了研究。结果,丽水地区确定了次生硫酸盐(31%)、流动物(16.8%)、次生硝酸盐(15.9%)、土壤和道路排放(15.2%)、生物质燃烧(11.5%)、石油燃烧(4.2%)、煤炭燃烧(3.7%)、工业活动(1.7%)等8种污染源。在顺天地区,二次硫酸盐(27.3%)、生物质燃烧(16.4%)和二次硝酸盐(15.3%)是主要来源。轨迹的聚类揭示了与长距离运输引起的高浓度相关的主要风型。总之,本研究表明,源分配模型可以识别两个受体位置的污染源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Source Assessment of PM-2.5 in the Residential Areas of Gwangyang Bay using Source Apportionment Model(II)
The source contributions in PM-2.5 were investigated in two residential areas (i.e., Yeosu and Suncheon of Gwangyang Bay) using a source apportionment model. As a result, eight sources have been identified such as secondary sulfate (31%), mobile (16.8%), secondary nitrate (15.9%), soil and road emission (15.2%), biomass burning (11.5%), oil combustion (4.2%), coal combustion (3.7%), and industry activity (1.7%) in the Yeosu area. In the Suncheon area, secondary sulfate (27.3%), biomass burning (16.4%), and secondary nitrate (15.3%) were investigated as the major sources. Clustering of the trajectories revealed dominant wind patterns associated with high concentrations due to long range transport. In conclusion, this study shows that the source apportionment model yields results for identifying pollutant sources in two receptor locations.
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