Accounting for meteorological effects in measuring urban ozone levels and trends

Peter Bloomfield, J. Andrew Royle, Laura J. Steinberg, Qing Yang

Research output: Contribution to journalArticle

137 Scopus citations

Abstract

Observed ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of ozone and of its precursors, and for this purpose the influence of meteorological variables is a confounding factor. This paper examines ozone concentrations and meteorology in the Chicago area. The data are described using least absolute deviations and local regression. The key relationships observed in these analyses are then used to construct a nonlinear regression model relating ozone to meteorology. The model can be used to estimate that part of the trend in ozone levels that cannot be accounted for by trends in meteorology, and to 'adjust' observed ozone concentrations for anomalous weather conditions.

Original languageEnglish (US)
Pages (from-to)3067-3077
Number of pages11
JournalAtmospheric Environment
Volume30
Issue number17
DOIs
StatePublished - Sep 1996
Externally publishedYes

Keywords

  • Median polish
  • Meteorological adjustment
  • Nonlinear regression
  • Nonparametric regression
  • Ozone concentration

ASJC Scopus subject areas

  • Environmental Science(all)
  • Atmospheric Science

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