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利用2013年SENEX实地研究测量评估单源二次污染物影响的模型特征

Assessing Model Characterization of Single Source Secondary Pollutant Impacts Using 2013 SENEX Field Study Measurements.

作者信息

Baker Kirk R, Woody Matthew C

机构信息

U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards 109 TW Alexander Dr., Research Triangle Park, North Carolina 27711, United States.

U.S. Environmental Protection Agency, Office of Research and Development 109 TW Alexander Dr., Research Triangle Park, North Carolina 27711, United States.

出版信息

Environ Sci Technol. 2017 Apr 4;51(7):3833-3842. doi: 10.1021/acs.est.6b05069. Epub 2017 Mar 15.

Abstract

Aircraft measurements made downwind from specific coal fired power plants during the 2013 Southeast Nexus field campaign provide a unique opportunity to evaluate single source photochemical model predictions of both O and secondary PM species. The model did well at predicting downwind plume placement. The model shows similar patterns of an increasing fraction of PM sulfate ion to the sum of SO and PM sulfate ion by distance from the source compared with ambient based estimates. The model was less consistent in capturing downwind ambient based trends in conversion of NO to NO from these sources. Source sensitivity approaches capture near-source O titration by fresh NO emissions, in particular subgrid plume treatment. However, capturing this near-source chemical feature did not translate into better downwind peak estimates of single source O impacts. The model estimated O production from these sources but often was lower than ambient based source production. The downwind transect ambient measurements, in particular secondary PM and O, have some level of contribution from other sources which makes direct comparison with model source contribution challenging. Model source attribution results suggest contribution to secondary pollutants from multiple sources even where primary pollutants indicate the presence of a single source.

摘要

在2013年东南部关联地区实地考察期间,对特定燃煤发电厂下风向进行的飞机测量提供了一个独特的机会,以评估单源光化学模型对O和二次颗粒物物种的预测。该模型在预测下风向羽流位置方面表现良好。与基于环境的估计相比,该模型显示出随着离源距离增加,PM硫酸根离子占SO和PM硫酸根离子总和的比例增加的类似模式。该模型在捕捉这些源产生的NO向NO的下风向环境转化趋势方面不太一致。源敏感性方法能够捕捉到新鲜NO排放对近源O的滴定作用,特别是亚网格羽流处理。然而,捕捉到这种近源化学特征并没有转化为对单源O影响的更好的下风向峰值估计。该模型估计了这些源产生的O,但通常低于基于环境的源产生量。下风向断面的环境测量,特别是二次颗粒物和O,有来自其他源的一定程度的贡献,这使得与模型源贡献进行直接比较具有挑战性。模型源归因结果表明,即使一次污染物表明存在单一源,二次污染物也有多个源的贡献。

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