title: Large scale air pollution estimation method combining land use regression and chemical transport modeling in a geostatistical framework.
abstract: In recognition that intraurban exposure gradients may be as large as between-city variations, recent air pollution epidemiologic studies have become increasingly interested in capturing within-city exposure gradients. In addition, because of the rapidly accumulating health data, recent studies also need to handle large study populations distributed over large geographic domains. Even though several modeling approaches have been introduced, a consistent modeling framework capturing within-city exposure variability and applicable to large geographic domains is still missing. To address these needs, we proposed a modeling framework based on the Bayesian Maximum Entropy method that integrates monitoring data and outputs from existing air quality models based on Land Use Regression (LUR) and Chemical Transport Models (CTM). The framework was applied to estimate the yearly average NO2 concentrations over the region of Catalunya in Spain. By jointly accounting for the global scale variability in the concentration from the output of CTM and the intraurban scale variability through LUR model output, the proposed framework outperformed more conventional approaches.
authors.affiliation: Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina-Chapel Hill , Chapel Hill, North Carolina 27599-7431, Untied States.
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Akita
authors.forename: Jose M
authors.initials: JM
authors.lastname: Baldasano
authors.forename: Rob
authors.initials: R
authors.lastname: Beelen
authors.forename: Marta
authors.initials: M
authors.lastname: Cirach
authors.forename: Kees
authors.initials: K
authors.lastname: de Hoogh
authors.forename: Gerard
authors.initials: G
authors.lastname: Hoek
authors.forename: Mark
authors.initials: M
authors.lastname: Nieuwenhuijsen
authors.forename: Marc L
authors.initials: ML
authors.lastname: Serre
authors.forename: Audrey
authors.initials: A
authors.lastname: de Nazelle
mesh_terms: D000393:Air Pollutants / Q000032:analysis*; D000397:Air Pollution / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods*; D005843:Geography; D008962:Models, Theoretical; D009566:Nitrates / Q000032:analysis; D012044:Regression Analysis; D015203:Reproducibility of Results; D013030:Spain; D013223:Statistics as Topic
chemical_list: D000393:Air Pollutants; D009566:Nitrates