Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Back-extrapolated and year-specific NO2 land use regression models for Great Britain - do they yield different exposure assessment?
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3501364
Author(s) Gulliver, John; de Hoogh, Kees; Hoek, Gerard; Vienneau, Danielle; Fecht, Daniela; Hansell, Anna
Author(s) at UniBasel de Hoogh, Kees
Year 2016
Title Back-extrapolated and year-specific NO2 land use regression models for Great Britain - do they yield different exposure assessment?
Journal Environment international
Volume 92-93
Pages / Article-Number 202-9
Mesh terms Air Pollutants, chemistry; Air Pollution, analysis; Environmental Monitoring, methods; Humans; Models, Theoretical; Nitrogen Dioxide, chemistry; Regression Analysis; United Kingdom
Abstract Robust methods to estimate historic population air pollution exposures are important tools for epidemiological studies evaluating long-term health effects. We developed land use regression (LUR) models for NO2 exposure in Great Britain for 1991 and explored whether the choice of year-specific or back-extrapolated LUR yields 1) similar LUR variables and model performance, and 2) similar national and regional address-level and small-area concentrations. We constructed two LUR models for 1991using NO2 concentrations from the diffusion tube monitoring network, one using 75% of all available measurement sites (that over-represent industrial areas), and the other using 75% of a subset of sites proportionate to population by region to study the effects of monitoring site selection bias. We compared, using the remaining (hold-out) 25% of monitoring sites, the performance of the two 1991 models with back-extrapolation of a previously published 2009 model, developed using NO2 concentrations from automatic chemiluminescence monitoring sites and predictor variables from 2006/2007. The 2009 model was back-extrapolated to 1991 using the same predictors (1990 & 1995) used to develop 1991 models. The 1991 models included industrial land use variables, not present for 2009. The hold-out performance of 1991 models (mean-squared-error-based-R(2): 0.62-0.64) was up to 8% higher and ~1μg/m(3) lower in root mean squared error than the back-extrapolated 2009 model, with best performance from the subset of sites representing population exposures. Year-specific and back-extrapolated exposures for residential addresses (n=1.338,399) and small areas (n=10.518) were very highly linearly correlated for Great Britain (r>0.83). This study suggests that year-specific model for 1991 and back-extrapolation of the 2009 LUR yield similar exposure assessment.
Publisher Elsevier
ISSN/ISBN 0160-4120
edoc-URL http://edoc.unibas.ch/42526/
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.envint.2016.03.037
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/27107225
ISI-Number WOS:000378951700022
Document type (ISI) Journal Article
 
   

MCSS v5.8 PRO. 0.328 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
28/03/2024