Spatial variability of fine particle mass, components, and source contributions during the regional air pollution study in St. Louis
Spatial variability of fine particle mass, components, and source contributions during the regional air pollution study in St. Louis
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DOI：
10.1021/es049824x
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发表时间：
2005-06-01
影响因子：
11.4
通讯作者：
Wilson, WE
中科院分区：
文献类型：
--
作者：
Kim, E;Hopke, PK;Wilson, WE
社区时间序列流行病学通常使用24小时综合颗粒物（PM）浓度平均在几个监测器在一个城市或在一个中央监测点获得的数据，将PM浓度与人类健康的影响。如果24小时综合浓度的逐日变化在整个城市地区差异很大（即，不同地点监测器的每日测量值之间的相关性不高），那么在社区时间序列流行病学中暴露分类错误的可能性很大。如果城市地区的年平均浓度不同，则在流行病学研究中使用年平均值（或多年平均值）作为不同城市的暴露指数可能会导致暴露错误分类。PM（2.）5（颗粒物）
Community time-series epidemiology typically uses either 24-hour integrated particulate matter (PM) concentrations averaged across several monitors in a city or data obtained at a central monitoring site to relate PM concentrations to human health effects. If the day-to-day variations in 24-hour integrated concentrations differ substantially across an urban area (i.e., daily measurements at monitors at different locations are not highly correlated), then there is a significant potential for exposure misclassification in community time-series epidemiology. If the annual average concentration differs across an urban area, then there is a potential for exposure misclassification in epidemiologic studies that use annual averages (or multi-year averages) as an index of exposure across different cities. The spatial variability in PM(2.)5 (particulate matter