Characterization of Surface Ozone Behavior at Different Regimes

Previous studies showed that the influence of meteorological variables and concentrations of other air pollutants on O3 concentrations changes at different O3 concentration levels. In this study, threshold models with artificial neural networks (ANNs) were applied to characterize the O3 behavior at...

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Bibliografiska uppgifter
Huvudupphovsmän: Nádia F. Afonso, José C. M. Pires
Materialtyp: Artigo
Språk:Inglês
Publicerad: MDPI AG 2017-09-01
Serie:Applied Sciences
Ämnen:
air pollution
artificial neural network
genetic algorithms
surface ozone
threshold models
Länkar:https://www.mdpi.com/2076-3417/7/9/944
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