Ground-level ozone forecasting using data-driven methods
β Scribed by T. A. Solaiman; P. Coulibaly; P. Kanaroglou
- Book ID
- 107532194
- Publisher
- Springer Netherlands
- Year
- 2008
- Tongue
- English
- Weight
- 454 KB
- Volume
- 1
- Category
- Article
- ISSN
- 1873-9318
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## Abstract A physically based model for groundβlevel ozone forecasting is evaluated for Santiago, Chile. The model predicts the daily peak ozone concentration, with the daily rise of air temperature as input variable; weekends and rainy days appear as interventions. This model was used to analyse
A ground-level ozone concentration prediction procedure is tested under real-world circumstances. Models are constructed for measured meteorological variables to predict ozone concentrations. Subsequently, a weather forecast is used as input to the prediction in order to obtain an estimate of the ne