ArticleEnvironmental science & technology2010
Predicting residential air exchange rates from questionnaires and meteorology: model evaluation in central North Carolina.
Article in Environmental science & technology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Particulate matter concentrations in residences: an intervention study evaluating stand-alone filters and air conditioners.Indoor air · 2012Trial
- Quantification of Volatile Organic Compounds (VOCs), Nitrogen Oxides (NOACS ES&T air · 2026Article
- Short-term ambient PMEnvironmental epidemiology (Philadelphia, Pa.) · 2025Article
- TracMyAir smartphone application for modeling exposures to PMThe Science of the total environment · 2025Article
- Integrating Personal Air Sensor and GPS to Determine Microenvironment-Specific Exposures to Volatile Organic Compounds.Sensors (Basel, Switzerland) · 2021Article
- Fine-Scale Modeling of Individual Exposures to Ambient PMAtmosphere · 2020Article
- Development of TracMyAir Smartphone Application for Modeling Exposures to Ambient PMInternational journal of environmental research and public health · 2019Article
- Influenza Virus Infectivity Is Retained in Aerosols and Droplets Independent of Relative Humidity.The Journal of infectious diseases · 2018Article
- Contribution of the in-vehicle microenvironment to individual ambient-source nitrogen dioxide exposure: the Multi-Ethnic Study of Atherosclerosis and Air Pollution.Journal of exposure science & environmental epidemiology · 2018Article
- Modeling individual exposures to ambient PMThe Science of the total environment · 2018Article
- Probabilistic estimation of residential air exchange rates for population-based human exposure modeling.Journal of exposure science & environmental epidemiology · 2017Article
- US residential building air exchange rates: new perspectives to improve decision making at vapor intrusion sites.Environmental science. Processes & impacts · 2017Article
- Effects of climate change on residential infiltration and air pollution exposure.Journal of exposure science & environmental epidemiology · 2017Article
- Comparison of Highly Resolved Model-Based Exposure Metrics for Traffic-Related Air Pollutants to Support Environmental Health Studies.International journal of environmental research and public health · 2015Article
- Modeling spatial and temporal variability of residential air exchange rates for the Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS).International journal of environmental research and public health · 2014Article
- A review of air exchange rate models for air pollution exposure assessments.Journal of exposure science & environmental epidemiology · 2014Review
- Article
- GPS-based microenvironment tracker (MicroTrac) model to estimate time-location of individuals for air pollution exposure assessments: model evaluation in central North Carolina.Journal of exposure science & environmental epidemiology · 2014Article
- Toward refined estimates of ambient PMAtmospheric environment (Oxford, England : 1994) · 2014Article
- The Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS): study design and methods.The Science of the total environment · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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