TY - JOUR
T1 - Development of Land Use Regression Models for Predicting Exposure to NOsub2/sub and NOsubx/sub in Metropolitan Perth, Western Australia
AU - Dirgawati, Mila
AU - Barnes, Rosanne
AU - Wheeler, Amanda J.
AU - Arnold, Anna-Lena
AU - McCaul, Kiernan A.
AU - Stuart, Amy L.
AU - Blake, David
AU - Hinwood, Andrea
AU - Yeap, Bu B.
AU - Heyworth, Jane S.
AU - McCaul, Kieran A.
PY - 2015/12/1
Y1 - 2015/12/1
N2 - This study developed LUR models for predicting exposure to NO 2 and NO x among of 12,203 elderly men in Perth. NO x and NO 2 concentrations were determined for 2-week periods in summer, autumn, and winter, from January to September 2012, at 43 sites. The LUR models were developed to predict annual average concentrations of nitric oxides based upon land use, population/household density, and traffic variables within different buffer sizes, following the procedures of the European Study of Cohort for Air Pollution Effects program. The sample mean and standard deviation of the annual average concentrations of NO 2 and NO x were 10.1 ± 5.3 μg/m 3 and 18.7 ± 11.7 μg/m 3 respectively, lower than those of ESCAPE study areas. The LUR models explained 69% of the variance in NO 2 and 75% variance of NO x . Both the NO 2 and NO x models had similar predictors, including traffic intensity on the nearest roads, household density within-1000 m industrial activities within-5000 m, and road length within-50 m.
AB - This study developed LUR models for predicting exposure to NO 2 and NO x among of 12,203 elderly men in Perth. NO x and NO 2 concentrations were determined for 2-week periods in summer, autumn, and winter, from January to September 2012, at 43 sites. The LUR models were developed to predict annual average concentrations of nitric oxides based upon land use, population/household density, and traffic variables within different buffer sizes, following the procedures of the European Study of Cohort for Air Pollution Effects program. The sample mean and standard deviation of the annual average concentrations of NO 2 and NO x were 10.1 ± 5.3 μg/m 3 and 18.7 ± 11.7 μg/m 3 respectively, lower than those of ESCAPE study areas. The LUR models explained 69% of the variance in NO 2 and 75% variance of NO x . Both the NO 2 and NO x models had similar predictors, including traffic intensity on the nearest roads, household density within-1000 m industrial activities within-5000 m, and road length within-50 m.
KW - Land Use Regression (LUR) model
KW - Air pollution
KW - Nitrogen dioxide (NO2)
KW - Oxides of nitrogen (NOx)
UR - https://digitalcommons.usf.edu/eoh_facpub/33
UR - https://doi.org/10.1016/j.envsoft.2015.07.008
UR - https://ro.ecu.edu.au/ecuworkspost2013/6816
U2 - 10.1016/j.envsoft.2015.07.008
DO - 10.1016/j.envsoft.2015.07.008
M3 - Article
VL - 74
JO - Environmental Modelling Software
JF - Environmental Modelling Software
ER -