Quantitative prediction of traffic pollutant transmission into buildings

Tsang Jung Chang, Mei Yu Huang, Yu Ting Wu, Chung Min Liao

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

An integrated air quality model that combines a CFD model and multi-room pollutant transport model has been developed to study the effect of traffic pollution on indoor air quality of a multi-room building located in close proximity to busy roads. The CFD model conducts the large eddy simulation of the three-dimensional turbulent flows and pollutant transport processes in outdoor, whereas the multi-room pollutant transport model performs zonal airflow and pollutant transport in indoor. The integrated model is verified with available field measurement of traffic-induced CO concentrations. Twelve scenarios of numerical experiments for various configurations of window openness are carried out to study the effects of the air change rate and the outdoor pollutant dispersion on indoor air quality. It is concluded that the windward side opening is a significant factor contributing to indoor air quality. Using air inlets on the sideward and leeward envelopes simultaneously'can effectively lower the daily mean and peak indoor levels of traffic pollutants and maintain a desirable air change rate.

Original languageEnglish
Pages (from-to)1025-1040
Number of pages16
JournalJournal of Environmental Science and Health - Part A Toxic/Hazardous Substances and Environmental Engineering
Volume38
Issue number6
DOIs
Publication statusPublished - 2003 May 29

All Science Journal Classification (ASJC) codes

  • Environmental Engineering

Fingerprint Dive into the research topics of 'Quantitative prediction of traffic pollutant transmission into buildings'. Together they form a unique fingerprint.

Cite this