Development of Land Use Regression Models for Predicting Exposure to NOsub2/sub and NOsubx/sub in Metropolitan Perth, Western Australia

Mila Dirgawati, Rosanne Barnes, Amanda J. Wheeler, Anna-Lena Arnold, Kiernan A. McCaul, Amy L. Stuart, David Blake, Andrea Hinwood, Bu B. Yeap, Jane S. Heyworth, Kieran A. McCaul

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageAmerican English
JournalEnvironmental Modelling Software
Volume74
DOIs
StatePublished - Dec 1 2015

Keywords

  • Land Use Regression (LUR) model
  • Air pollution
  • Nitrogen dioxide (NO2)
  • Oxides of nitrogen (NOx)

Disciplines

  • Physical Sciences and Mathematics

Cite this