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A national fine spatial scale land-use regression model for ozone.

In English

Författare

  • Jules Kerckhoffs
  • Meng Wang
  • Kees Meliefste
  • Ebba Malmqvist
  • Paul Fischer
  • Nicole A H Janssen
  • Rob Beelen
  • Gerard Hoek

Summary, in English

Uncertainty about health effects of long-term ozone exposure remains. Land use regression (LUR) models have been used successfully for modeling fine scale spatial variation of primary pollutants but very limited for ozone. Our objective was to assess the feasibility of developing a national LUR model for ozone at a fine spatial scale. Ozone concentrations were measured with passive samplers at 90 locations across the Netherlands (19 regional background, 36 urban background, 35 traffic). All sites were measured simultaneously during four 2-weekly campaigns spread over the seasons. LUR models were developed for the summer average as the primary exposure and annual average using predictor variables obtained with Geographic Information Systems. Summer average ozone concentrations varied between 32 and 61µg/m(3). Ozone concentrations at traffic sites were on average 9µg/m(3) lower compared to regional background sites. Ozone correlated highly negatively with nitrogen dioxide and moderately with fine particles. A LUR model including small-scale traffic, large-scale address density, urban green and a region indicator explained 71% of the spatial variation in summer average ozone concentrations. Land use regression modeling is a promising method to assess ozone spatial variation, but the high correlation with NO2 limits application in epidemiology.

Publiceringsår

2015

Språk

Engelska

Sidor

440-448

Publikation/Tidskrift/Serie

Environmental Research

Volym

140

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Environmental Health and Occupational Health

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1096-0953