Predicting residential air exchange rates from questionnaires and meteorology: model evaluation in central North Carolina.
Predicting residential air exchange rates from questionnaires and meteorology: model evaluation in central North Carolina.
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DOI：
10.1021/es101800k
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发表时间：
2010-12-15
影响因子：
11.4
通讯作者：
Schultz, Bradley D.
中科院分区：
文献类型：
--
作者：
Breen, Michael S.;Breen, Miyuki;Williams, Ronald W.;Schultz, Bradley D.
空气污染暴露模型的一个关键方面是估计个人家庭的空气交换率（AER），人们在那里度过了大部分时间。AER是进出建筑物的气流，是室外空气污染物进入和去除室内源排放的主要机制。机械劳伦斯伯克利实验室（LBL）AER模型连接到泄漏面积模型预测AER的问卷调查和气象。LBL模型还扩展到包括自然通风（LBLX）。使用文献报道的参数值，AER预测从LBL和LBLX模型进行了比较，从642个每日AER测量数据在31个独立的家庭在北卡罗来纳州，相应的问卷调查和气象观测。在连续四个季节的每个季节中，连续七天收集数据。对于单个模型预测和测量的AER，LBL和LBLX模型的绝对差中位数分别为43%（0.17 h−1）和40%（0.17 h−1）。此外，还对文献报道的经验比例因子（SF）AER模型进行了评价，该模型显示绝对差中位数为50%（0.25 h−1）。LBL、LBLX和SF模型的能力可以帮助降低空气污染暴露模型中的AER不确定性，该模型用于制定健康研究的暴露指标。评估模型预测住宅空气交换率从问卷调查和气象进行。
A critical aspect of air pollution exposure models is the estimation of the air exchange rate (AER) of individual homes, where people spend most of their time. The AER, which is the airflow into and out of a building, is a primary mechanism for entry of outdoor air pollutants and removal of indoor source emissions. The mechanistic Lawrence Berkeley Laboratory (LBL) AER model was linked to a leakage area model to predict AER from questionnaires and meteorology. The LBL model was also extended to include natural ventilation (LBLX). Using literature-reported parameter values, AER predictions from LBL and LBLX models were compared to data from 642 daily AER measurements across 31 detached homes in central North Carolina, with corresponding questionnaires and meteorological observations. Data was collected on seven consecutive days during each of four consecutive seasons. For the individual model-predicted and measured AER, the median absolute difference was 43% (0.17 h−1) and 40% (0.17 h−1) for the LBL and LBLX models, respectively. Additionally, a literature-reported empirical scale factor (SF) AER model was evaluated, which showed a median absolute difference of 50% (0.25 h−1). The capability of the LBL, LBLX, and SF models could help reduce the AER uncertainty in air pollution exposure models used to develop exposure metrics for health studies. Evaluation of models to predict residential air exchange rates from questionnaires and meteorology is conducted.
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影响因子：
11.4
作者：
Olson, DA;Burke, JM
通讯作者：
Burke, JM
影响因子：
7.4
作者：
Wang, Weimin;Beausoleil-Morrison, Ian;Reardon, James
通讯作者：
Reardon, James
DOI：
10.1038/sj.jea.7500229
发表时间：
2002-07-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Wallace, LA;Emmerich, SJ;Howard-Reed, C
通讯作者：
Howard-Reed, C
DOI：
10.1038/sj.jea.7500244
发表时间：
2002-11-01
期刊：
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
影响因子：
--
作者：
Leech, JA;Nelson, WC;Raizenne, ME
通讯作者：
Raizenne, ME
影响因子：
5
作者：
Williams, R;Suggs, J;Sanders, W
通讯作者：
Sanders, W