Calm analysis using a robust method

Autores
Ratto, Gustavo; Videla, Fabián Alfredo; Maronna, Ricardo Antonio; Reyna Almandos, Jorge Guillermo
Año de publicación
2012
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
La Plata city and surroundings (Argentina) -around 800 000 inhabitants- possesses high industrial activity and intense vehicular traffic but there is no governmental air pollution network and basic meteorological parameters have been scarcely studied. This paper focuses on wind calm structure and wind patterns after the end of calms in order to assess the potential accumulation and fate of released airborne pollutants. A robust correlation method using an M-estimator is employed to compare seasonal observations at three monitoring sites located in key parts of the city covering 1995- 2006. Results show that calms are on average 14.7% in summer, 19.1% in autumn, 12.8% in winter and 11.6% in spring. The three sites under study were highly correlated indicating a generalized calm pattern for the city and surroundings. The robust coefficient allows inferring the lineal character of dependence among observations at the three sites. Calm structure revealed that approximately 50.6 % of the calms lasted 1 hour while calms lasting 5 hours or less constitute around 90% of calm occurrences. Calms lasting two hours or more are more probably to occur during wee and evening hours indicating when the accumulation of released air pollutants is likely to happen. Wind roses named "outgoing of calm wind roses" (time consuming to estimate) showed the wind direction patterns more probable to occur after a calm. Overall correlations between seasonal averaged wind roses and those corresponding to the outgoing of calms showed strong linear correlation for all the seasons. This allows concluding that winds after calms may be well represented by their corresponding seasonal averaged patterns (easy to compute).
Centro de Investigaciones Ópticas
Facultad de Ingeniería
Facultad de Ciencias Exactas
Materia
Física
Ingeniería
industrial activity
wind
calm analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/136816

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oai_identifier_str oai:sedici.unlp.edu.ar:10915/136816
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Calm analysis using a robust methodRatto, GustavoVidela, Fabián AlfredoMaronna, Ricardo AntonioReyna Almandos, Jorge GuillermoFísicaIngenieríaindustrial activitywindcalm analysisLa Plata city and surroundings (Argentina) -around 800 000 inhabitants- possesses high industrial activity and intense vehicular traffic but there is no governmental air pollution network and basic meteorological parameters have been scarcely studied. This paper focuses on wind calm structure and wind patterns after the end of calms in order to assess the potential accumulation and fate of released airborne pollutants. A robust correlation method using an M-estimator is employed to compare seasonal observations at three monitoring sites located in key parts of the city covering 1995- 2006. Results show that calms are on average 14.7% in summer, 19.1% in autumn, 12.8% in winter and 11.6% in spring. The three sites under study were highly correlated indicating a generalized calm pattern for the city and surroundings. The robust coefficient allows inferring the lineal character of dependence among observations at the three sites. Calm structure revealed that approximately 50.6 % of the calms lasted 1 hour while calms lasting 5 hours or less constitute around 90% of calm occurrences. Calms lasting two hours or more are more probably to occur during wee and evening hours indicating when the accumulation of released air pollutants is likely to happen. Wind roses named "outgoing of calm wind roses" (time consuming to estimate) showed the wind direction patterns more probable to occur after a calm. Overall correlations between seasonal averaged wind roses and those corresponding to the outgoing of calms showed strong linear correlation for all the seasons. This allows concluding that winds after calms may be well represented by their corresponding seasonal averaged patterns (easy to compute).Centro de Investigaciones ÓpticasFacultad de IngenieríaFacultad de Ciencias Exactas2012info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf155-160http://sedici.unlp.edu.ar/handle/10915/136816spainfo:eu-repo/semantics/altIdentifier/isbn/978-987-28123-1-7info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:15:34Zoai:sedici.unlp.edu.ar:10915/136816Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:15:35.006SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Calm analysis using a robust method
title Calm analysis using a robust method
spellingShingle Calm analysis using a robust method
Ratto, Gustavo
Física
Ingeniería
industrial activity
wind
calm analysis
title_short Calm analysis using a robust method
title_full Calm analysis using a robust method
title_fullStr Calm analysis using a robust method
title_full_unstemmed Calm analysis using a robust method
title_sort Calm analysis using a robust method
dc.creator.none.fl_str_mv Ratto, Gustavo
Videla, Fabián Alfredo
Maronna, Ricardo Antonio
Reyna Almandos, Jorge Guillermo
author Ratto, Gustavo
author_facet Ratto, Gustavo
Videla, Fabián Alfredo
Maronna, Ricardo Antonio
Reyna Almandos, Jorge Guillermo
author_role author
author2 Videla, Fabián Alfredo
Maronna, Ricardo Antonio
Reyna Almandos, Jorge Guillermo
author2_role author
author
author
dc.subject.none.fl_str_mv Física
Ingeniería
industrial activity
wind
calm analysis
topic Física
Ingeniería
industrial activity
wind
calm analysis
dc.description.none.fl_txt_mv La Plata city and surroundings (Argentina) -around 800 000 inhabitants- possesses high industrial activity and intense vehicular traffic but there is no governmental air pollution network and basic meteorological parameters have been scarcely studied. This paper focuses on wind calm structure and wind patterns after the end of calms in order to assess the potential accumulation and fate of released airborne pollutants. A robust correlation method using an M-estimator is employed to compare seasonal observations at three monitoring sites located in key parts of the city covering 1995- 2006. Results show that calms are on average 14.7% in summer, 19.1% in autumn, 12.8% in winter and 11.6% in spring. The three sites under study were highly correlated indicating a generalized calm pattern for the city and surroundings. The robust coefficient allows inferring the lineal character of dependence among observations at the three sites. Calm structure revealed that approximately 50.6 % of the calms lasted 1 hour while calms lasting 5 hours or less constitute around 90% of calm occurrences. Calms lasting two hours or more are more probably to occur during wee and evening hours indicating when the accumulation of released air pollutants is likely to happen. Wind roses named "outgoing of calm wind roses" (time consuming to estimate) showed the wind direction patterns more probable to occur after a calm. Overall correlations between seasonal averaged wind roses and those corresponding to the outgoing of calms showed strong linear correlation for all the seasons. This allows concluding that winds after calms may be well represented by their corresponding seasonal averaged patterns (easy to compute).
Centro de Investigaciones Ópticas
Facultad de Ingeniería
Facultad de Ciencias Exactas
description La Plata city and surroundings (Argentina) -around 800 000 inhabitants- possesses high industrial activity and intense vehicular traffic but there is no governmental air pollution network and basic meteorological parameters have been scarcely studied. This paper focuses on wind calm structure and wind patterns after the end of calms in order to assess the potential accumulation and fate of released airborne pollutants. A robust correlation method using an M-estimator is employed to compare seasonal observations at three monitoring sites located in key parts of the city covering 1995- 2006. Results show that calms are on average 14.7% in summer, 19.1% in autumn, 12.8% in winter and 11.6% in spring. The three sites under study were highly correlated indicating a generalized calm pattern for the city and surroundings. The robust coefficient allows inferring the lineal character of dependence among observations at the three sites. Calm structure revealed that approximately 50.6 % of the calms lasted 1 hour while calms lasting 5 hours or less constitute around 90% of calm occurrences. Calms lasting two hours or more are more probably to occur during wee and evening hours indicating when the accumulation of released air pollutants is likely to happen. Wind roses named "outgoing of calm wind roses" (time consuming to estimate) showed the wind direction patterns more probable to occur after a calm. Overall correlations between seasonal averaged wind roses and those corresponding to the outgoing of calms showed strong linear correlation for all the seasons. This allows concluding that winds after calms may be well represented by their corresponding seasonal averaged patterns (easy to compute).
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-28123-1-7
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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