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The Research Triangle Park particiulate matter panel study: modeling ambient source contribution to personal and residential PM mass concentrations

机译:研究三角公园参与物质小组研究:模拟环境源对个人和住宅PM质量浓度的贡献

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The Research Triangle Park (RTP) Particiulate Matter (PM) Panel Study represented a 1-year investigation of personal, residential and ambient PM mass concentrations across distances as large as 70 km in central North Carolina. One of the primary goals of this effort was to estimate ambient PM_(2.5) contributions to personal and indoor residential PM mass concentrations. Analyses indicated that data from the two distinct non-smoking subject populations totaling 38 individuals and 37 residences could be pooled. This resulted in nearly 800 data points for each variable. A total of 55 measurements believed to have been potentially influenced by personal or residential exposure to passive environmental tobacco smoke were not included in the analysis database. Variables to be examined included C_(ig) (concentration of indoor generated PM), E_(ig) (personal exposure to indoor generated PM), F_(inf) (ambient PM infiltration factor), and F_(pex) (personal exposure to PM of ambient origin factor). Daily air exchange rates (AER) were measured and statistical modeling to derive estimates of particle penetration (P) and particle deposition (k) factors was performed. Seasonality, cohort grouping, participant or combinations of these variables were determined not to be significant influences in estimating group infiltration factors. The mean (+-std) mixed model slope estimates were AER = 0.72+- 0.63, P = 0.72 +-0.21, k = 0.42 +- 0.19, and F_(inf) = 0.45 +- 0.21. These variables were then used in a number of mixed effects models having varying features of single, random or fixed intercepts and/or slopes to determine the most appropriate means of estimating ambient source contributions to personal and residential settings. A mixed model slope for Fpex ( +- SE) was 0.47 +- 0.07 using the model with the highest degree of fit.
机译:研究三角公园(RTP)参与物质(PM)小组研究代表了对北卡罗来纳州中部70 km范围内个人,住宅和环境PM浓度的为期1年的调查。这项工作的主要目标之一是估算环境PM_(2.5)对个人和室内住宅PM质量浓度的贡献。分析表明,可以汇总来自两个不同的非吸烟对象人群的数据,这些人口总计38个人和37个住所。这样就为每个变量提供了将近800个数据点。分析数据库中未包括总共55个被认为可能受到个人或住宅暴露于被动环境烟草烟雾的潜在影响的测量值。要检查的变量包括C_(ig)(室内产生的PM浓度),E_(ig)(个人对室内产生的PM的暴露),F_(inf)(环境PM的渗透因子)和F_(pex)(个人暴露于室内的PM浓度)。环境起源因子的PM)。测量每日空气交换率(AER),并进行统计建模以得出颗粒渗透(P)和颗粒沉积(k)因素的估计值。确定季节性,队列分组,参与者或这些变量的组合对估计组浸润因子没有重大影响。平均(+ -std)混合模型斜率估计值为AER = 0.72±0.63,P = 0.72±0.21,k = 0.42±0.19,以及F_(inf)= 0.45±0.21。然后,将这些变量用于具有单个,随机或固定截距和/或斜率的变化特征的许多混合效果模型中,以确定估算环境源对个人和居住环境的贡献的最合适方法。使用拟合度最高的模型,Fpex的混合模型斜率(+-SE)为0.47 +-0.07。

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