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大辛辛那提空气流域州际公路附近气溶胶颗粒的浓度梯度模式。

Concentration gradient patterns of aerosol particles near interstate highways in the Greater Cincinnati airshed.

作者信息

Reponen Tiina, Grinshpun Sergey A, Trakumas Saulius, Martuzevicius Dainius, Wang Zhong-Min, LeMasters Grace, Lockey James E, Biswas Pratim

机构信息

Department of Environmental Health, University of Cincinnati, Cincinnati, Ohio, USA.

出版信息

J Environ Monit. 2003 Aug;5(4):557-62. doi: 10.1039/b303557c.

Abstract

The objective of this study was to determine if there is an exposure gradient in particulate matter concentrations for people living near interstate highways, and to determine how far from the highway the gradient extends. Air samples were collected in a residential area of Greater Cincinnati in the vicinity of two major highways. The measurements were conducted at different distances from the highways by using ultrafine particle counters (measurement range: 0.02-1 microm), optical particle counters (0.3-20 microm), and PM2.5 Harvard Impactors (0.02-2.5 microm). The collected PM2.5 samples were analyzed for mass concentration, for elemental and organic carbon, and for elemental concentrations. The results show that the aerosol concentration gradient was most clearly seen in the particle number concentration measured by the ultrafine particle counters. The concentration of ultrafine particles decreased to half between the sampling points located at 50 m and 150 m downwind from the highway. Additionally, elemental analysis revealed a gradient in sulfur concentrations up to 400 m from the highway in a residential area that does not have major nearby industrial sources. This gradient was qualitatively attributed to the sulfate particle emissions from diesel engine exhausts, and was supported by the concentration data on several key elements indicative of traffic sources (road dust and diesel exhaust). As different particulate components gave different profiles of the diesel exposure gradient, these results indicate that no single element or component of diesel exhaust can be used as a surrogate for diesel exposure, but more comprehensive signature analysis is needed. This characterization is crucial especially when the exposure data are to be used in epidemiological studies.

摘要

本研究的目的是确定居住在州际公路附近的人群在颗粒物浓度方面是否存在暴露梯度,并确定该梯度从公路延伸多远。在大辛辛那提市靠近两条主要公路的一个居民区采集了空气样本。通过使用超细颗粒计数器(测量范围:0.02 - 1微米)、光学颗粒计数器(0.3 - 20微米)和PM2.5哈佛冲击器(0.02 - 2.5微米),在距公路不同距离处进行测量。对采集的PM2.5样本进行质量浓度、元素碳和有机碳以及元素浓度分析。结果表明,气溶胶浓度梯度在超细颗粒计数器测量的颗粒数浓度中最为明显。在公路下风方向50米和150米处的采样点之间,超细颗粒浓度下降到一半。此外,元素分析显示,在附近没有主要工业源的居民区,距公路400米范围内硫浓度存在梯度。该梯度定性地归因于柴油发动机尾气中的硫酸盐颗粒排放,并得到了一些指示交通源(道路灰尘和柴油尾气)的关键元素浓度数据的支持。由于不同的颗粒物成分给出了不同的柴油暴露梯度特征,这些结果表明,柴油尾气的任何单一元素或成分都不能用作柴油暴露的替代指标,而需要更全面的特征分析。这种特征描述至关重要,尤其是在将暴露数据用于流行病学研究时。

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