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首页> 外文期刊>Journal of exposure analysis and environmental epidemiology >Influence of ambient (outdoor) sources on residential indoor and personal PM2.5 concentrations: analyses of RIOPA data.
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Influence of ambient (outdoor) sources on residential indoor and personal PM2.5 concentrations: analyses of RIOPA data.

机译:环境(室外)对住宅室内和个人PM2.5浓度的影响:RIOPA数据分析。

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The Relationship of Indoor, Outdoor and Personal Air (RIOPA) study was designed to investigate residential indoor, outdoor and personal exposures to several classes of air pollutants, including volatile organic compounds, carbonyls and fine particles (PM2.5). Samples were collected from summer, 1999 to spring, 2001 in Houston (TX), Los Angeles (CA) and Elizabeth (NJ). Indoor, outdoor and personal PM2.5 samples were collected at 212 nonsmoking residences, 162 of which were sampled twice. Some homes were chosen due to close proximity to ambient sources of one or more target analytes, while others were farther from sources. Median indoor, outdoor and personal PM2.5 mass concentrations for these three sites were 14.4, 15.5 and 31.4 microg/m3, respectively. The contributions of ambient (outdoor) and nonambient sources to indoor and personal concentrations were quantified using a single compartment box model with measured air exchange rate and a random component superposition (RCS) statistical model. The median contribution of ambient sources to indoor PM2.5 concentrations using the mass balance approach was estimated to be 56% for all study homes (63%, 52% and 33% for California, New Jersey and Texas study homes, respectively). Reasonable variations in model assumptions alter median ambient contributions by less than 20%. The mean of the distribution of ambient contributions across study homes agreed well for the mass balance and RCS models, but the distribution was somewhat broader when calculated using the mass balance model with measured air exchange rates.
机译:室内,室外和个人空气之间的关系(RIOPA)研究旨在研究住宅室内,室外和个人与几种空气污染物的接触,包括挥发性有机化合物,羰基化合物和细颗粒(PM2.5)。从1999年夏季至2001年春季在休斯敦(TX),洛杉矶(CA)和伊丽莎白(NJ)收集样本。在212个禁烟住所中收集了室内,室外和个人PM2.5样品,其中162个被采样了两次。选择一些住所是因为它们与一种或多种目标分析物的周围环境非常接近,而另一些则远离这些环境。这三个地点的室内,室外和个人PM2.5质量浓度中位数分别为14.4、15.5和31.4 microg / m3。使用具有测量的空气交换率和随机成分叠加(RCS)统计模型的单室箱模型,可以量化环境(室外)和非环境源对室内和个人浓度的贡献。使用质量平衡方法,所有研究房屋的环境源对室内PM2.5浓度的平均贡献估计为56%(加利福尼亚,新泽西和德克萨斯的研究房屋分别为63%,52%和33%)。模型假设的合理变化将平均环境贡献降低了不到20%。研究室中环境贡献的分布平均值与质量平衡和RCS模型非常吻合,但是当使用具有测量的空气交换率的质量平衡模型进行计算时,分布范围更广。

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