Abstract:Based on the limitations of air quality models to forecast air pollution, statistical models are convenient and suitable tools to predict pollutant concentrations. This research work proposes a SARMA model to forecast ozone maxima concentrations in five sites of the Metropolitan Area of Monterrey, Mexico. The design of the model includes diverse novel features: meteorological variables were considered as predictors, short-term ozone concentrations (4 times in the day) were forecasted, and appropriated transfor… Show more
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