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Evaluation of Traffic Density Parameters as an Indicator of Near-road Black Carbon Pollution: A Case Study with NEXUS Measurement Data

机译:交通密度参数评估作为近距离黑碳污染的指标:以NEXUS测量数据为例

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Near-road exposure to traffic-related air pollutants has become a focus of health risk studies. Some studies have shown effects of traffic density on the respiratory diseases. Traffic density is parameter integrating major road and traffic count. To better understand the correlation between the traffic density parameters and actual air pollutant concentrations we used measurement data from the US Environmental Protection Agency (US EPA)-sponsored Near-road Exposures and effects of Urban air pollutants Study (NEXUS) collected at about 30 locations across Detroit at various distances from major roadways with different traffic characteristics during two seasons (Fall 2010 and Spring 2011). For the correlation assessment we compared black carbon (BC) concentrations against different traffic density parameters. The average BC concentrations during a day showed variations consistent with the change in traffic volume which was classified into three categories of low, medium, and high for detailed studies. We found mean BC concentrations for the low, medium, and high traffic hours are 0.45, 0.64, and 0.94 μg/m3 respectively for the fall season and 0.35, 0.44, and 0.59 ug/m3 respectively for the spring season. Major-Road Density (MRD), All-Traffic Density (ATD) and Heavy-Traffic Density (HTD) gave an average correlation coefficient of 0.26, 0.18 and 0.48, respectively for the combined BC concentrations of all seasons and all distances from the major road. HTD, which includes only heavy duty diesel vehicles in the traffic count, gives statistically significant correlation coefficients for all near road distances (50, 100,150, 200, 250, and 300 m) analyzed. Generalized linear model (GLM) analyses show that season, traffic volume, HTD and distance from major roads are highly related to BC measurements. Our analyses indicate that traffic density parameters may be useful indicators of near-road BC concentrations for health risk studies.
机译:近距离接触与交通相关的空气污染物已成为健康风险研究的重点。一些研究表明交通密度对呼吸系统疾病的影响。交通密度是整合主要道路和交通流量的参数。为了更好地了解交通密度参数与实际空气污染物浓度之间的相关性,我们使用了美国环境保护署(US EPA)赞助的近道路暴露和城市空气污染物影响研究(NEXUS)的测量数据,该数据收集于大约30个地点在两个季节(2010年秋季和2011年春季),从底特律横穿底特律到主要道路的不同距离,并具有不同的交通特征。为了进行相关性评估,我们将黑碳(BC)浓度与不同的交通密度参数进行了比较。一天中的平均BC浓度显示出与交通量变化一致的变化,详细研究分为三类:低,中和高。我们发现,低流量,中流量和高流量时间的平均BC浓度在秋季分别为0.45、0.64和0.94μg/ m3,在春季分别为0.35、0.44和0.59 ug / m3。对于所有季节和距主要区域的所有距离的总BC浓度,主要道路密度(MRD),全交通密度(ATD)和重交通密度(HTD)分别给出平均相关系数0.26、0.18和0.48路。 HTD在交通量中仅包括重型柴油车辆,它为所分析的所有近距离(50、100、150、200、250和300 m)提供了统计上显着的相关系数。广义线性模型(GLM)分析表明,季节,交通量,HTD和与主要道路的距离与BC测量高度相关。我们的分析表明,交通密度参数可能是健康风险研究中近路BC浓度的有用指标。

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