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美国俄亥俄州辛辛那提市一条州际公路附近环境细颗粒物(PM₂.₅)的非混合模型

UNMIX modeling of ambient PM(2.5) near an interstate highway in Cincinnati, OH, USA.

作者信息

Hu Shaohua, McDonald Rafael, Martuzevicius Dainius, Biswas Pratim, Grinshpun Sergey A, Kelley Anna, Reponen Tiina, Lockey James, Lemasters Grace

机构信息

Environmental Engineering Science, Campus Box 1180, Washington University in St. Louis, St. Louis, MO 63130, USA.

出版信息

Atmos Environ (1994). 2006;40(S2):378-395. doi: 10.1016/j.atmosenv.2006.02.038.

Abstract

The "Cincinnati Childhood Allergy and Air Pollution Study (CCAAPS)" is underway to determine if infants who are exposed to diesel engine exhaust particles are at an increased risk for atopy and atopic respiratory disorders, and to determine if this effect is magnified in a genetically at risk population. In support of this study, a methodology has been developed to allocate local traffic source contributions to ambient PM(2.5) in the Cincinnati airshed. As a first step towards this allocation, UNMIX was used to generate factors for ambient PM(2.5) at two sites near at interstate highway. Procedures adopted to collect, analyze and prepare the data sets to run UNMIX are described. The factors attributed to traffic sources were similar for the two sites. These factors were also similar to locally measured truck engine-exhaust enriched ambient profiles. The temporal variation of the factors was analyzed with clear differences observed between factors attributed to traffic sources and combustion-related regional secondary sources.

摘要

“辛辛那提儿童过敏与空气污染研究(CCAAPS)”正在进行,以确定接触柴油发动机尾气颗粒的婴儿患特应性疾病和特应性呼吸道疾病的风险是否增加,并确定这种影响在有遗传风险的人群中是否会放大。为支持这项研究,已开发出一种方法,用于确定辛辛那提空气流域中本地交通源对环境细颗粒物(PM2.5)的贡献。作为这一分配的第一步,使用UNMIX来生成州际公路附近两个地点的环境细颗粒物(PM2.5)的因子。描述了为运行UNMIX而收集、分析和准备数据集所采用的程序。两个地点归因于交通源的因子相似。这些因子也与本地测量的富含卡车发动机尾气的环境特征相似。分析了这些因子的时间变化,发现归因于交通源的因子与燃烧相关的区域二次源的因子之间存在明显差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eb26/3124278/2c60cb2ae819/nihms-36671-f0001.jpg

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