TY - JOUR
T1 - Operational and environmental determinants of in-vehicle CO and PM 2.5 exposure
AU - Alameddine, I.
AU - Abi Esber, L.
AU - Bou-Zeid, Elie R.
AU - Hatzopoulou, M.
AU - El-Fadel, M.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - This study presents a modeling framework to quantify the complex roles that traffic, seasonality, vehicle characteristics, ventilation, meteorology, and ambient air quality play in dictating in-vehicle commuter exposure to CO and PM 2.5 . For this purpose, a comprehensive one-year monitoring program of 25 different variables was coupled with a multivariate regression analysis to develop models to predict in-vehicle CO and PM 2.5 exposure using a database of 119 mobile tests and 120 fume leakage tests. The study aims to improve the understanding of in-cabin exposure, as well as interior-exterior pollutant exchange. Model results highlighted the strong correlation between out-vehicle and in-vehicle concentrations, with the effect of ventilation type only discerned for PM 2.5 levels. Car type, road conditions, as well as meteorological conditions all played a significant role in modulating in-vehicle exposure. The CO and PM 2.5 exposure models were able to explain 72 and 92% of the variability in measured concentrations, respectively. Both models exhibited robustness and no-evidence of over-fitting.
AB - This study presents a modeling framework to quantify the complex roles that traffic, seasonality, vehicle characteristics, ventilation, meteorology, and ambient air quality play in dictating in-vehicle commuter exposure to CO and PM 2.5 . For this purpose, a comprehensive one-year monitoring program of 25 different variables was coupled with a multivariate regression analysis to develop models to predict in-vehicle CO and PM 2.5 exposure using a database of 119 mobile tests and 120 fume leakage tests. The study aims to improve the understanding of in-cabin exposure, as well as interior-exterior pollutant exchange. Model results highlighted the strong correlation between out-vehicle and in-vehicle concentrations, with the effect of ventilation type only discerned for PM 2.5 levels. Car type, road conditions, as well as meteorological conditions all played a significant role in modulating in-vehicle exposure. The CO and PM 2.5 exposure models were able to explain 72 and 92% of the variability in measured concentrations, respectively. Both models exhibited robustness and no-evidence of over-fitting.
KW - CO
KW - In-vehicle exposure
KW - Multivariate analysis
KW - PM
UR - http://www.scopus.com/inward/record.url?scp=84957646232&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957646232&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2016.01.030
DO - 10.1016/j.scitotenv.2016.01.030
M3 - Article
C2 - 26874759
AN - SCOPUS:84957646232
SN - 0048-9697
VL - 551-552
SP - 42
EP - 50
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -