MODELING OF OZONE DUE TO WEATHER CONDITIONS
Autor(a) principal: | |
---|---|
Data de Publicação: | 2013 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Brasileira de Climatologia (Online) |
Texto Completo: | https://revistas.ufpr.br/revistaabclima/article/view/29648 |
Resumo: | Ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of both ozone and its precursors. For this purpose, the influence of meteorological variables is a confusing factor. This study presents an analysis of 4 year of ozone concentrations measured in a Campo Grande-MS-Brazil city. Firstly, the aim of this study was to perceive the daily, monthly and seasonal variation patterns of ozone concentrations. Diurnal cycles are presented by season and the fit of the data to a normal distribution is tested. In order to assess ozone behaviour under weather conditions, local meteorological variables (wind direction and speed, temperature, relative humidity and rainfall) were monitored together with ozone concentrations. The main relationships we could observe in these analyses were then used to obtain a regression equation linking diurnal ozone concentrations with meteorological parameters. The developed model is capable of explaining over 70% of the variability in the ozone concentrations |
id |
ABCLIMA-1_2ebf08a46b55514cf88ebb7621a3a63f |
---|---|
oai_identifier_str |
oai:revistas.ufpr.br:article/29648 |
network_acronym_str |
ABCLIMA-1 |
network_name_str |
Revista Brasileira de Climatologia (Online) |
repository_id_str |
|
spelling |
MODELING OF OZONE DUE TO WEATHER CONDITIONSUrban ozone; Campo Grande; Meteorological parameters.Ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of both ozone and its precursors. For this purpose, the influence of meteorological variables is a confusing factor. This study presents an analysis of 4 year of ozone concentrations measured in a Campo Grande-MS-Brazil city. Firstly, the aim of this study was to perceive the daily, monthly and seasonal variation patterns of ozone concentrations. Diurnal cycles are presented by season and the fit of the data to a normal distribution is tested. In order to assess ozone behaviour under weather conditions, local meteorological variables (wind direction and speed, temperature, relative humidity and rainfall) were monitored together with ozone concentrations. The main relationships we could observe in these analyses were then used to obtain a regression equation linking diurnal ozone concentrations with meteorological parameters. The developed model is capable of explaining over 70% of the variability in the ozone concentrationsUniversidade Federal do ParanáSouza, Amaury dePavão, Hamilton GermanoPires, José C.M.Garcia, Ana Paula2013-12-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/revistaabclima/article/view/2964810.5380/abclima.v12i1.29648Revista Brasileira de Climatologia; v. 12 (2013)2237-86421980-055X10.5380/abclima.v12i1reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAporhttps://revistas.ufpr.br/revistaabclima/article/view/29648/21503Campo Grande-Ms2004-2008dados secundariosinfo:eu-repo/semantics/openAccess2013-12-12T00:01:15Zoai:revistas.ufpr.br:article/29648Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2013-12-12T00:01:15Revista Brasileira de Climatologia (Online) - ABClimafalse |
dc.title.none.fl_str_mv |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
title |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
spellingShingle |
MODELING OF OZONE DUE TO WEATHER CONDITIONS Souza, Amaury de Urban ozone; Campo Grande; Meteorological parameters. |
title_short |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
title_full |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
title_fullStr |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
title_full_unstemmed |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
title_sort |
MODELING OF OZONE DUE TO WEATHER CONDITIONS |
author |
Souza, Amaury de |
author_facet |
Souza, Amaury de Pavão, Hamilton Germano Pires, José C.M. Garcia, Ana Paula |
author_role |
author |
author2 |
Pavão, Hamilton Germano Pires, José C.M. Garcia, Ana Paula |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Souza, Amaury de Pavão, Hamilton Germano Pires, José C.M. Garcia, Ana Paula |
dc.subject.por.fl_str_mv |
Urban ozone; Campo Grande; Meteorological parameters. |
topic |
Urban ozone; Campo Grande; Meteorological parameters. |
description |
Ozone concentrations are valuable indicators of possible health and environmental impacts. However, they are also used to monitor changes and trends in the sources of both ozone and its precursors. For this purpose, the influence of meteorological variables is a confusing factor. This study presents an analysis of 4 year of ozone concentrations measured in a Campo Grande-MS-Brazil city. Firstly, the aim of this study was to perceive the daily, monthly and seasonal variation patterns of ozone concentrations. Diurnal cycles are presented by season and the fit of the data to a normal distribution is tested. In order to assess ozone behaviour under weather conditions, local meteorological variables (wind direction and speed, temperature, relative humidity and rainfall) were monitored together with ozone concentrations. The main relationships we could observe in these analyses were then used to obtain a regression equation linking diurnal ozone concentrations with meteorological parameters. The developed model is capable of explaining over 70% of the variability in the ozone concentrations |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-12-09 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufpr.br/revistaabclima/article/view/29648 10.5380/abclima.v12i1.29648 |
url |
https://revistas.ufpr.br/revistaabclima/article/view/29648 |
identifier_str_mv |
10.5380/abclima.v12i1.29648 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/revistaabclima/article/view/29648/21503 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Campo Grande-Ms 2004-2008 dados secundarios |
dc.publisher.none.fl_str_mv |
Universidade Federal do Paraná |
publisher.none.fl_str_mv |
Universidade Federal do Paraná |
dc.source.none.fl_str_mv |
Revista Brasileira de Climatologia; v. 12 (2013) 2237-8642 1980-055X 10.5380/abclima.v12i1 reponame:Revista Brasileira de Climatologia (Online) instname:ABClima instacron:ABCLIMA |
instname_str |
ABClima |
instacron_str |
ABCLIMA |
institution |
ABCLIMA |
reponame_str |
Revista Brasileira de Climatologia (Online) |
collection |
Revista Brasileira de Climatologia (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Climatologia (Online) - ABClima |
repository.mail.fl_str_mv |
egalvani@usp.br || rbclima2014@gmail.com |
_version_ |
1754839542933749760 |