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Vehicle emissions and PM2.5 mass concentrations in six Brazilian cities

机译:巴西六个城市的车辆排放和PM2.5浓度

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摘要

In Brazil, the principal source of air pollution is the combustion of fuels (ethanol, gasohol, and diesel). In this study, we quantify the contributions that vehicle emissions make to the urban fine particulate matter (PM2.5) mass in six state capitals in Brazil, collecting data for use in a larger project evaluating the impact of air pollution on human health. From winter 2007 to winter 2008, we collected 24-h PM2.5 samples, employing gravimetry to determine PM2.5 mass concentrations; reflectance to quantify black carbon concentrations; X-ray fluorescence to characterize elemental composition; and ion chromatography to determine the composition and concentrations of anions and cations. Mean PM2.5 concentrations in the cities of São Paulo, Rio de Janeiro, Belo Horizonte, Curitiba, Porto Alegre, and Recife were 28, 17.2, 14.7, 14.4, 13.4, and 7.3 μg/m3, respectively. In São Paulo and Rio de Janeiro, black carbon explained approximately 30% of the PM2.5 mass. We used receptor models to identify distinct source-related PM2.5 fractions and correlate those fractions with daily mortality rates. Using specific rotation factor analysis, we identified the following principal contributing factors: soil and crustal material; vehicle emissions and biomass burning (black carbon factor); and fuel oil combustion in industries (sulfur factor). In all six cities, vehicle emissions explained at least 40% of the PM2.5 mass. Elemental composition determination with receptor modeling proved an adequate strategy to identify air pollution sources and to evaluate their short- and long-term effects on human health. Our data could inform decisions regarding environmental policies vis-à-vis health care costs.
机译:在巴西,空气污染的主要来源是燃料(乙醇,汽油和柴油)的燃烧。在这项研究中,我们量化了车辆排放对巴西六个州首府城市细颗粒物(PM2.5)的贡献,并收集了用于较大项目的数据,以评估空气污染对人类健康的影响。从2007年冬季到2008年冬季,我们收集了24小时的PM2.5样品,并采用重量分析法测定了PM2.5的质量浓度。反射率以量化黑碳浓度; X射线荧光表征元素组成;离子色谱法确定阴离子和阳离子的组成和浓度。圣保罗,里约热内卢,贝洛奥里藏特,库里提巴,阿雷格里港和累西腓等城市的PM2.5平均浓度分别为28、17.2、14.7、14.4、13.4和7.3μg/ m 3 , 分别。在圣保罗和里约热内卢,黑碳占PM2.5质量的30%。我们使用受体模型来识别与源相关的不同PM2.5组分,并将这些组分与每日死亡率相关联。通过特定的旋转因子分析,我们确定了以下主要影响因素:土壤和地壳物质;车辆排放和生物质燃烧(黑碳因子);和工业中的燃油燃烧(硫因子)。在所有六个城市中,车辆排放至少占PM2.5质量的40%。通过受体建模确定元素组成被证明是识别空气污染源并评估其对人类健康的短期和长期影响的适当策略。我们的数据可以为有关针对医疗费用的环境政策决策提供依据。

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