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Spatial and temporal variation of particle number concentration in Augsburg Germany

机译:德国奥格斯堡的粒子数浓度时空变化

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摘要

Epidemiological studies on health effects of outdoor air pollution are largely based on single monitoring site for estimating the exposure of people living in urban areas. For such an approach two aspects are important: the temporal correlation and the spatial variation of the absolute levels of concentrations measured at different sites in an urban area. Whereas many studies have shown small spatial variability of fine particles in urban areas, little is known on how well a single monitoring station could represent the temporal and spatial variation of ultrafine particles across urban areas.In our study we investigated the temporal and spatial variation of particle number concentration (PNC) at four background sites in Augsburg, Germany. Two of them were influenced by traffic, one was placed in the outskirts of the city.The average PNC levels at two urban background sites with traffic impact were 16,943 cm−3 and 20,702 cm−3, respectively, compared to 11,656 cm−3 at the urban background site without traffic impact (ratio 1.2 to 1.8). The Spearman correlation coefficients between the monitoring sites were high (r>0.80).The pronounced differences in absolute PNC levels suggest that the use of a single monitoring station in long-term epidemiological studies must be insufficient to attribute accurate exposure levels of PNC to all study subjects. On the other hand, the high temporal correlations of PNC across the city area of Augsburg implicate that in epidemiological time-series studies the use of one single ambient monitoring site is an adequate approach for characterizing exposure to ultrafine particles.
机译:关于室外空气污染对健康的影响的流行病学研究主要基于单个监测点,以估计居住在城市地区的人们的暴露程度。对于这种方法,两个方面很重要:在城市地区不同地点测量的绝对浓度绝对值的时间相关性和空间变化。尽管许多研究表明城市地区细颗粒物的空间变异性很小,但对于单个监测站如何能很好地代表整个城市地区超细颗粒物的时空变化知之甚少。德国奥格斯堡的四个背景站点的粒子数浓度(PNC)。其中有两个受到流量的影响,一个位于城市的郊区。两个受交通影响的城市背景站点的PNC平均水平分别为16,943 cm -3 和20,702 cm −3 相比,在没有交通影响的城市背景站点上为11,656 cm −3 (比率1.2到1.8)。监测点之间的Spearman相关系数很高(r> 0.80)。绝对PNC水平的明显差异表明,在长期的流行病学研究中使用单个监测站必须不足以将准确的PNC暴露水平归因于所有学习科目。另一方面,PNC在奥格斯堡整个城市地区的高时间相关性意味着在流行病学时间序列研究中,使用单个环境监测点是表征超细颗粒暴露的适当方法。

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