Simulating indoor concentrations of NO(2) and PM(2.5) in multifamily housing for use in health-based intervention modeling.
Simulating indoor concentrations of NO(2) and PM(2.5) in multifamily housing for use in health-based intervention modeling.
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DOI：
10.1111/j.1600-0668.2011.00742.x
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发表时间：
2012-02
期刊：
影响因子：
5.8
通讯作者：
Levy JI
中科院分区：
文献类型：
--
作者：
Fabian P;Adamkiewicz G;Levy JI
低收入多户住宅的居民可能会暴露于多种已知会影响哮喘的环境污染物。模拟模型可以描述室内浓度变化对健康的影响，但考虑到复杂的气流和源特性，量化干预措施对浓度的影响具有挑战性。在这项研究中，我们模拟浓度的原型多户建筑使用CONTAM，多区域气流和污染物传输程序。污染物建模包括PM2.5和NO2，参数包括炉灶的使用，排气扇的存在和可操作性，吸烟，单元水平和建筑物泄漏。我们开发了回归模型，以解释CONTAM输出的变异性为个别来源，在某种程度上，可以利用健康结果的模拟建模。为了评估我们的模型，我们生成了1000个模拟家庭的数据库，这些家庭的特征与波士顿公共住房开发和居民相一致，并将NO2和PM2.5的预测水平及其相关性与文献进行了比较。我们的分析表明，CONTAM输出可以很容易地解释可用的参数（R2之间的0.89和0.98的模型），但一室箱模型会错误地描述浓度和源的贡献。我们的研究量化了多户住宅室内浓度的主要驱动因素，并有助于确定干预机会。
Residents of low-income multi-family housing can have elevated exposures to multiple environmental pollutants known to influence asthma. Simulation models can characterize the health implications of changing indoor concentrations, but quantifying the influence of interventions on concentrations is challenging given complex airflow and source characteristics. In this study, we simulated concentrations in a prototype multi-family building using CONTAM, a multi-zone airflow and contaminant transport program. Contaminants modeled included PM2.5 and NO2, and parameters included stove use, presence and operability of exhaust fans, smoking, unit level, and building leakiness. We developed regression models to explain variability in CONTAM outputs for individual sources, in a manner that could be utilized in simulation modeling of health outcomes. To evaluate our models, we generated a database of 1000 simulated households with characteristics consistent with Boston public housing developments and residents, and compared the predicted levels of NO2 and PM2.5 and their correlates with the literature. Our analyses demonstrated that CONTAM outputs could be readily explained by available parameters (R2 between 0.89 and 0.98 across models), but that one-compartment box models would mischaracterize concentrations and source contributions. Our study quantifies the key drivers for indoor concentrations in multi-family housing and helps to identify opportunities for interventions.
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影响因子：
5.1
作者：
Joseph, CLM;Foxman, B;Ownby, D
通讯作者：
Ownby, D
DOI：
10.1038/sj.jes.7500468
发表时间：
2006-07-01
影响因子：
4.5
作者：
Li, Ruifeng;Weller, Edie;Spiegelman, Donna
通讯作者：
Spiegelman, Donna
影响因子：
12.7
作者：
Digenis-Bury, Eleni C.;Brooks, Daniel R.;Horsburgh, C. Robert
通讯作者：
Horsburgh, C. Robert
DOI：
10.1038/sj.jea.7500188
发表时间：
2001-11-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Burke, JM;Zufall, MJ;Özkaynak, H
通讯作者：
Özkaynak, H
DOI：
10.1038/sj.jes.7500532
发表时间：
2007-08-01
影响因子：
4.5
作者：
Baxter, Lisa K.;Clougherty, Jane E.;Levy, Jonathan I.
通讯作者：
Levy, Jonathan I.