Explicit Modeling of Meteorological Explanatory Variables in Short-Term Forecasting of Maximum Ozone Concentrations via a Multiple Regression Time Series Framework

Explicit Modeling of Meteorological Explanatory Variables in Short-Term Forecasting of Maximum Ozone Concentrations via a Multiple Regression Time Series Framework

Statistical time series forecasting is a useful tool for predicting air pollutant concentrations in urban areas, especially in emerging economies, where the capacity to implement comprehensive air quality models is limited. In this study, a general multiple regression with seasonal autoregressive mo...

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Bibliographic Details
Main Authors: Sigfrido Iglesias-Gonzalez, Maria E. Huertas-Bolanos, Ivan Y. Hernandez-Paniagua, Alberto Mendoza
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Atmosphere
Subjects:
air pollution
SARMA model
stochastic model
exogenous variables
Online Access:https://www.mdpi.com/2073-4433/11/12/1304

Internet

https://www.mdpi.com/2073-4433/11/12/1304

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