Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro

Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro

Studies carried out in several countries have reported an association between air pollution and several indicators of morbidity and mortality, even when pollutant concentrations are below standard limits. This work has as geographic place of study the city of Rio de Janeiro,and aims to identify loca...

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Bibliographic Details
Main Authors: Flávia Ribeiro Villela, Marcos Antonio Cruz Moreira
Format: Article
Language:English
Published: Essentia Editora 2016-12-01
Series:Boletim do Observatório Ambiental Alberto Ribeiro Lamego
Subjects:
Poluição do ar. Mapas de Kohonen. Redes Neurais.
Online Access:http://essentiaeditora.iff.edu.br/index.php/boletim/article/view/9319
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spelling doaj-6ff34861383344beadf76d642f721fcd2020-11-24T22:26:02ZengEssentia EditoraBoletim do Observatório Ambiental Alberto Ribeiro Lamego1981-61972177-45602016-12-01102677710.19180/2177-4560.v10n22016p67-778888Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de JaneiroFlávia Ribeiro Villela0Marcos Antonio Cruz Moreira1Universidade Federal do Rio de Janeiro - UFRJInstituto Federal de Educação, Ciência e Tecnologia Fluminense (IFFluminense, Campus Macaé)Studies carried out in several countries have reported an association between air pollution and several indicators of morbidity and mortality, even when pollutant concentrations are below standard limits. This work has as geographic place of study the city of Rio de Janeiro,and aims to identify local and global scenarios characterized by high or low pollution days and typical or atypical weather days. It also verifies the associations with the statistical distribution of health event counts. The method used to identify these scenarios was Kohonen topological maps based on neural networks.http://essentiaeditora.iff.edu.br/index.php/boletim/article/view/9319Poluição do ar. Mapas de Kohonen. Redes Neurais.
collection DOAJ
language English
format Article
sources DOAJ
author Flávia Ribeiro Villela
Marcos Antonio Cruz Moreira
spellingShingle Flávia Ribeiro Villela
Marcos Antonio Cruz Moreira
Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
Boletim do Observatório Ambiental Alberto Ribeiro Lamego
Poluição do ar. Mapas de Kohonen. Redes Neurais.
author_facet Flávia Ribeiro Villela
Marcos Antonio Cruz Moreira
author_sort Flávia Ribeiro Villela
title Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
title_short Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
title_full Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
title_fullStr Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
title_full_unstemmed Use of neural networks in the identification of pollutant concentration scenarios in the city of Rio de Janeiro
title_sort use of neural networks in the identification of pollutant concentration scenarios in the city of rio de janeiro
publisher Essentia Editora
series Boletim do Observatório Ambiental Alberto Ribeiro Lamego
issn 1981-6197
2177-4560
publishDate 2016-12-01
description Studies carried out in several countries have reported an association between air pollution and several indicators of morbidity and mortality, even when pollutant concentrations are below standard limits. This work has as geographic place of study the city of Rio de Janeiro,and aims to identify local and global scenarios characterized by high or low pollution days and typical or atypical weather days. It also verifies the associations with the statistical distribution of health event counts. The method used to identify these scenarios was Kohonen topological maps based on neural networks.
topic Poluição do ar. Mapas de Kohonen. Redes Neurais.
url http://essentiaeditora.iff.edu.br/index.php/boletim/article/view/9319
work_keys_str_mv AT flaviaribeirovillela useofneuralnetworksintheidentificationofpollutantconcentrationscenariosinthecityofriodejaneiro
AT marcosantoniocruzmoreira useofneuralnetworksintheidentificationofpollutantconcentrationscenariosinthecityofriodejaneiro
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