Descubre y comparte nuestro conocimiento público

Se han encontrado 2 recursos

Resultados de búsqueda

Artículo de Revista 2012-02-08

Autor: Díaz-Robles, Luis Alonso Ortega, J.C. Guerrero, M. Silva, M.P.

Talcahuano and Hualpén counties are one of the most highly industrial-polluted coastal zones in Chile, overhanging the iron foundry industry, coal burning power plants, chemical industry, and petroleum refinery, etc. The relationship between air pollution from PM2.5 measured at the Libertad monit...

Enlace original: http://repositoriodigital.uct.cl/handle/10925/591

Repositorio Digital Universidad Católica de Temuco
Enlace permanente

Díaz-Robles, Luis Alonso ,  Ortega, J.C. ,  Guerrero, M. ,  Silva, M.P. ,  [Particulate air pollution and health effects for cardiovascular and respiratory causes over an industrial neighborhood; Linking epidemiological time series studies and the power of a health perception survey] ,  Particulate air pollution and health effects for cardiovascular and respiratory causes over an industrial neighborhood; Linking epidemiological time series studies and the power of a health perception survey
Artículo de Revista 2012-02-23

Autor: Díaz-Robles, Luis Alonso Ortega, J.C. Fu, J.S. Reed, G.D. Chow, Judith C. Watson, J.G. Moncada-Herrera, J.A. Díaz-Robles, Luis Alonso

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...

Enlace original: http://repositoriodigital.uct.cl/handle/10925/678

Repositorio Digital Universidad Católica de Temuco
Enlace permanente

Díaz-Robles, Luis Alonso ,  Ortega, J.C. ,  Fu, J.S. ,  Reed, G.D. ,  Chow, Judith C. ,  Watson, J.G. ,  Moncada-Herrera, J.A. ,  Díaz-Robles, Luis Alonso ,  [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

Selecciona los documentos para visualizarlos

Nombre del archivo Ver recurso
Marcar todos
Limpiar todo