Article Effects of Neighboring Units on the Estimation of Particle Penetration Factor in a Modeled Indoor Environment Yonghang Lai 1, Ian A. Ridley 1 and Peter Brimblecombe 1,2,3,4,* 1 School of Energy and Environment, City University of Hong Kong, Hong Kong;
[email protected] (Y.L.);
[email protected] (I.A.R.) 2 Department of Marine Environment and Engineering, National Sun Yat-Sen University, Kaohsiung 804, Taiwan 3 Aerosol Science Research Center, National Sun Yat-Sen University, Kaohsiung 804, Taiwan 4 School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK * Correspondence:
[email protected] Abstract: Ingress of air from neighboring apartments is an important source of fine particulate matter (PM2.5) in residential multi-story buildings. It affects the measurement and estimation of particle deposition rate and penetration factor. A blower-door method to measure the particle deposition rate and penetration factor has previously been found to be more precise than the traditional decay- rebound method as it reduces variability of PM2.5 ingress from outside. CONTAM is a multi-zone indoor air quality and ventilation analysis computer program to aid the prediction of indoor air quality. It was used in this study to model the indoor PM2.5 concentrations in an apartment under varying PM2.5 emission from neighboring apartments and window opening and closing regimes. The variation of indoor PM2.5 concentration was also modeled for different days to account for typical outdoor variations. The calibrated CONTAM model aimed to simulate environments found during measurement of particle penetration factor, thus identifying the source of error in the estimates.