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Article

Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models

1
Department of Architectural Engineering, Graduate School, University of Seoul, Seoul 02504, Korea
2
Department of Architectural Engineering, College of Engineering, Kyungil University, Gyeongsan 38428, Korea
3
Department of Architectural Engineering, College of Urban Sciences, University of Seoul, Seoul 02504, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Elena Cristina Rada
Sustainability 2021, 13(10), 5708; https://doi.org/10.3390/su13105708
Received: 31 March 2021 / Revised: 12 May 2021 / Accepted: 13 May 2021 / Published: 19 May 2021
(This article belongs to the Special Issue Air Circulation and Indoor Air Quality)
The purpose of this study was to evaluate outdoor PM2.5 infiltration into multifamily homes according to the building characteristics using regression models. Field test results from 23 multifamily homes were analyzed to investigate the infiltration factor and building characteristics including floor area, volume, outer surface area, building age, and airtightness. Correlation and regression analysis were then conducted to identify the building factor that is most strongly associated with the infiltration of outdoor PM2.5. The field tests revealed that the average PM2.5 infiltration factor was 0.71 (±0.19). The correlation analysis of the building characteristics and PM2.5 infiltration factor revealed that building airtightness metrics (ACH50, ELA/FA, and NL) had a statistically significant (p < 0.05) positive correlation (r = 0.70, 0.69, and 0.68, respectively) with the infiltration factor. Following the correlation analysis, a regression model for predicting PM2.5 infiltration based on the ACH50 airtightness index was proposed. The study confirmed that the outdoor-origin PM2.5 concentration in sufficiently leaky units could be up to 1.59 times higher than that in airtight units. View Full-Text
Keywords: PM2.5 infiltration; infiltration factor; multifamily homes; blower door test; regression model PM2.5 infiltration; infiltration factor; multifamily homes; blower door test; regression model
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MDPI and ACS Style

Park, B.R.; Eom, Y.S.; Choi, D.H.; Kang, D.H. Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models. Sustainability 2021, 13, 5708. https://doi.org/10.3390/su13105708

AMA Style

Park BR, Eom YS, Choi DH, Kang DH. Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models. Sustainability. 2021; 13(10):5708. https://doi.org/10.3390/su13105708

Chicago/Turabian Style

Park, Bo R., Ye S. Eom, Dong H. Choi, and Dong H. Kang 2021. "Estimation of Outdoor PM2.5 Infiltration into Multifamily Homes Depending on Building Characteristics Using Regression Models" Sustainability 13, no. 10: 5708. https://doi.org/10.3390/su13105708

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