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Air quality time series consists of complex linear and non-linear patterns and are difficult to forecast. Box-Jenkins Time Series (ARIMA) and multilinear regression (MLR) models have been applied to air quality forecasting in urban areas, but they have limited accuracy owing to their inability to...


Diaz Robles, Luis A.Ortega, Juan C.Fu, Joshua S.Reed, Gregory D.Chow, Judith C.Watson, John G.Moncada Herrera, Juan A.[A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile]A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile

Temuco is one of the most highly wood smoke polluted cities in Chile; however, there is scarce evidence of respiratory morbidity due to fine particulate matter. We aimed to estimate the relationship between daily concentration of ultrafine particles (UFP), with an aerodynamic diameter <= 0.1 mu m...


Diaz Robles, Luis A.Fu, Joshua S.Vergara Fernandez, AlbertoEtcharren, PabloSchiappacasse Poyanco, LuisReed, Gregory D.Silva, Maria P.[Health risks caused by short term exposure to ultrafine particles generated by residential wood combustion: A case study of Temuco,Chile]Health risks caused by short term exposure to ultrafine particles generated by residential wood combustion: A case study of Temuco,Chile

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