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 language | English (US) |
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Pages (from-to) | 3067-3077 |
Number of pages | 11 |
Journal | Atmospheric Environment |
Volume | 30 |
Issue number | 17 |
DOIs | |
State | Published - Sep 1996 |
Externally published | Yes |
Keywords
- Median polish
- Meteorological adjustment
- Nonlinear regression
- Nonparametric regression
- Ozone concentration
ASJC Scopus subject areas
- General Environmental Science
- Atmospheric Science