Wells Benjamin, Simon Heather, Luben Thomas J, Pekar Zachary, Jenkins Scott M
Office of Air Quality Planning and Standards, US Environmental Protection Agency, 109 T.W. Alexander Dr., Research Triangle Park, NC 27711, USA.
National Center for Environmental Assessment, US Environmental Protection Agency, Research Triangle Park, NC, USA.
Air Qual Atmos Health. 2019 Mar 7;12(5):585-595. doi: 10.1007/s11869-019-00679-8.
Epidemiologic studies relating ambient ozone concentrations to adverse health outcomes have typically relied on spatial averages of concentrations from nearby monitoring stations, referred to as "composite monitors." This practice reflects the assumption that ambient ozone concentrations within an urban area are spatially homogenous. We tested the validity of this assumption by comparing ozone data measured at individual monitoring sites within selected US urban areas to their respective composite monitor time series. We first characterized the temporal correlation between the composite monitor and individual monitors in each area. Next, we analyzed the heteroskedasticity of each relationship. Finally, we compared the distribution of concentrations measured at individual monitors to the composite monitor distribution. Individual monitors showed high correlation with the composite monitor over much of the range of ambient ozone concentrations, though correlations were lower at higher concentrations. The variance between individual monitors and the composite monitor increased as a function of concentration in nearly all the urban areas. Finally, we observed statistical bias in the composite monitor concentrations at the high end of the distribution. The degree to which these results introduce uncertainty into studies that utilize composite monitors depends on the contributions of peak ozone concentrations to reported health effect associations.
将环境臭氧浓度与不良健康结果相关联的流行病学研究通常依赖于附近监测站浓度的空间平均值,即所谓的“综合监测器”。这种做法反映了一种假设,即城市区域内的环境臭氧浓度在空间上是均匀的。我们通过将美国选定城市地区内各个监测点测量的臭氧数据与其各自的综合监测器时间序列进行比较,来检验这一假设的有效性。我们首先描述了每个地区综合监测器与各个监测器之间的时间相关性。接下来,我们分析了每种关系的异方差性。最后,我们将各个监测器测量的浓度分布与综合监测器的分布进行了比较。在环境臭氧浓度的大部分范围内,各个监测器与综合监测器显示出高度相关性,尽管在较高浓度下相关性较低。在几乎所有城市地区,各个监测器与综合监测器之间的方差随着浓度的变化而增加。最后,我们在分布的高端观察到综合监测器浓度存在统计偏差。这些结果给使用综合监测器的研究带来不确定性的程度,取决于峰值臭氧浓度对所报告的健康效应关联的贡献。