Prediction of PM10 concentrations for Bahía Blanca, Argentina

PM10 non-traditional modelling for e-government development is described in detail. Ambient PM10 concentrations were predicted using meteorological variables as inputs, whose relevance for a generated Artificial Neural Network was analyzed by a feature selection method. The work is specially focused...

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Autores principales: Brignole, Nélida B., Chiarvetto Peralta, Lucila L., Díaz, Mónica F.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2012
Materias:
Ciencias Informáticas
Intelligent agents
Neural nets
artificial neural network
particulate matter
PM10
forecast model
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23592
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23592
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Intelligent agents
Neural nets
artificial neural network
particulate matter
PM10
forecast model
spellingShingle Ciencias Informáticas
Intelligent agents
Neural nets
artificial neural network
particulate matter
PM10
forecast model
Brignole, Nélida B.
Chiarvetto Peralta, Lucila L.
Díaz, Mónica F.
Prediction of PM10 concentrations for Bahía Blanca, Argentina
topic_facet Ciencias Informáticas
Intelligent agents
Neural nets
artificial neural network
particulate matter
PM10
forecast model
description PM10 non-traditional modelling for e-government development is described in detail. Ambient PM10 concentrations were predicted using meteorological variables as inputs, whose relevance for a generated Artificial Neural Network was analyzed by a feature selection method. The work is specially focused on the surroundings of Bahía Blanca city, its petrochemical pole and Ing. White grain port. Its accuracy was tested with time windows ranging from 2004 to 2006. A trustworthy simulation of the physical phenomena was built. As a result, this predictive model will contribute to the local observatory in order to trigger early-alert warnings.
format Objeto de conferencia
Objeto de conferencia
author Brignole, Nélida B.
Chiarvetto Peralta, Lucila L.
Díaz, Mónica F.
author_facet Brignole, Nélida B.
Chiarvetto Peralta, Lucila L.
Díaz, Mónica F.
author_sort Brignole, Nélida B.
title Prediction of PM10 concentrations for Bahía Blanca, Argentina
title_short Prediction of PM10 concentrations for Bahía Blanca, Argentina
title_full Prediction of PM10 concentrations for Bahía Blanca, Argentina
title_fullStr Prediction of PM10 concentrations for Bahía Blanca, Argentina
title_full_unstemmed Prediction of PM10 concentrations for Bahía Blanca, Argentina
title_sort prediction of pm10 concentrations for bahía blanca, argentina
publishDate 2012
url http://sedici.unlp.edu.ar/handle/10915/23592
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