Temuco is a mid-size city representative of severe wood smoke pollution in southern Chile; however, little is known about the indoor air quality in this region. A field measurement campaign at 63 households in the Temuco urban area was conducted in winter 2014 and is reported here. In this study,...
Jorquera, Héctor
,
Barraza, Francisco
,
Heyer, Johanna
,
Valdivia, Gonzalo
,
Schiappacasse Poyanco, Luis
,
Montoya, Lupita D.
,
[Indoor PM2.5 in an urban zone with heavy wood smoke pollution: The case of Temuco, Chile]
,
Indoor PM2.5 in an urban zone with heavy wood smoke pollution: The case of Temuco, Chile
The particulate matter pollution, induced mainly by the domiciliary wood heating, vehicular traffic, and industrial activity, has become the main source of concern of urban air quality in cities of colder climates. The city of Temuco, 800 km to the south of Santiago, Chile, suffers from severe wo...
Sanhueza, P.A.
,
Díaz-Robles, Luis Alonso
,
Torreblanca, M.A.
,
Schiappacasse Poyanco, Luis
,
Silva, M.P.
,
Astete, T.D.
,
[Particulate air pollution and health effects for cardiovascular and respiratory causes in Temuco City, Chile]
,
Particulate air pollution and health effects for cardiovascular and respiratory causes in Temuco City, Chile
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...
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