Estimation of outdoor pm2.5 infiltration into multifamily homes depending on building characteristics using regression models

Bo Ram Park, Ye Seul Eom, Dong Hee Choi, Dong Hwa Kang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

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 highly leaky units could be up to 1.59 times higher than that in airtight units.

Original languageEnglish
Article number5708
JournalSustainability (Switzerland)
Volume13
Issue number10
DOIs
StatePublished - 2 May 2021

Keywords

  • Blower door test
  • Infiltration factor
  • Multifamily homes
  • PM infiltration
  • Regression model

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