Noise mapping as a tool for controlling industrial noise pollution

Detalhes bibliográficos
Autor(a) principal: Casas, Walter Jesus Paucar
Data de Publicação: 2014
Outros Autores: Cordeiro, Edivaldo Pellizzaro, Mello, Tiago Chaves, Zannin, Paulo Henrique Trombetta
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/111669
Resumo: The purpose of this work is to identify the contribution of noise from external sources to the noise pollution generated by a factory, by comparing sound pressure levels measured in its surroundings and those calculated by noise mapping. A metal-mechanical manufacturing plant was chosen and sound pressure levels were measured at discrete points along two rings around it, called receivers. The noise measurement data from the first ring were entered into the Sound Plan software to determine, through iteration, the factory’s main noise sources. The software then used this information to calculate noise maps and sound pressure levels at the receiver’s positions in the second ring. Finally, the contribution of noise from external sources to the overall noise generated by the factory was determined by comparing the noise measured in the second ring with the simulated data. The placement of partial barriers along some critically noisy walls was found to be effective in controlling nighttime noise, ensuring that the sound level limit for this type of neighborhood, which is established by technical standards for environmental noise as Leq = 60 dB (A), is not reached.
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spelling Casas, Walter Jesus PaucarCordeiro, Edivaldo PellizzaroMello, Tiago ChavesZannin, Paulo Henrique Trombetta2015-03-05T01:57:51Z20140975-1084http://hdl.handle.net/10183/111669000952987The purpose of this work is to identify the contribution of noise from external sources to the noise pollution generated by a factory, by comparing sound pressure levels measured in its surroundings and those calculated by noise mapping. A metal-mechanical manufacturing plant was chosen and sound pressure levels were measured at discrete points along two rings around it, called receivers. The noise measurement data from the first ring were entered into the Sound Plan software to determine, through iteration, the factory’s main noise sources. The software then used this information to calculate noise maps and sound pressure levels at the receiver’s positions in the second ring. Finally, the contribution of noise from external sources to the overall noise generated by the factory was determined by comparing the noise measured in the second ring with the simulated data. The placement of partial barriers along some critically noisy walls was found to be effective in controlling nighttime noise, ensuring that the sound level limit for this type of neighborhood, which is established by technical standards for environmental noise as Leq = 60 dB (A), is not reached.application/pdfengJournal of scientific & industrial research [recurso eletrônico]. New Delhi. Vol. 73, no. 4 (Dec. 2014), p. 262-266Poluição sonoraRuído industrialRuído : ControleNoise mappingNoise pollutionNoise controlIndustrial noiseNoise sourcesNoise mapping as a tool for controlling industrial noise pollutionEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000952987.pdf000952987.pdfTexto completo (inglês)application/pdf394146http://www.lume.ufrgs.br/bitstream/10183/111669/1/000952987.pdf8cbd54f865eda550da664d06a02033ddMD51TEXT000952987.pdf.txt000952987.pdf.txtExtracted Texttext/plain18937http://www.lume.ufrgs.br/bitstream/10183/111669/2/000952987.pdf.txt29f3c11d45d740d0becced6ae46cebbdMD52THUMBNAIL000952987.pdf.jpg000952987.pdf.jpgGenerated Thumbnailimage/jpeg2194http://www.lume.ufrgs.br/bitstream/10183/111669/3/000952987.pdf.jpg0a43f9afab5a2eaaf593027a13910475MD5310183/1116692018-10-24 08:48:52.881oai:www.lume.ufrgs.br:10183/111669Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-24T11:48:52Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Noise mapping as a tool for controlling industrial noise pollution
title Noise mapping as a tool for controlling industrial noise pollution
spellingShingle Noise mapping as a tool for controlling industrial noise pollution
Casas, Walter Jesus Paucar
Poluição sonora
Ruído industrial
Ruído : Controle
Noise mapping
Noise pollution
Noise control
Industrial noise
Noise sources
title_short Noise mapping as a tool for controlling industrial noise pollution
title_full Noise mapping as a tool for controlling industrial noise pollution
title_fullStr Noise mapping as a tool for controlling industrial noise pollution
title_full_unstemmed Noise mapping as a tool for controlling industrial noise pollution
title_sort Noise mapping as a tool for controlling industrial noise pollution
author Casas, Walter Jesus Paucar
author_facet Casas, Walter Jesus Paucar
Cordeiro, Edivaldo Pellizzaro
Mello, Tiago Chaves
Zannin, Paulo Henrique Trombetta
author_role author
author2 Cordeiro, Edivaldo Pellizzaro
Mello, Tiago Chaves
Zannin, Paulo Henrique Trombetta
author2_role author
author
author
dc.contributor.author.fl_str_mv Casas, Walter Jesus Paucar
Cordeiro, Edivaldo Pellizzaro
Mello, Tiago Chaves
Zannin, Paulo Henrique Trombetta
dc.subject.por.fl_str_mv Poluição sonora
Ruído industrial
Ruído : Controle
topic Poluição sonora
Ruído industrial
Ruído : Controle
Noise mapping
Noise pollution
Noise control
Industrial noise
Noise sources
dc.subject.eng.fl_str_mv Noise mapping
Noise pollution
Noise control
Industrial noise
Noise sources
description The purpose of this work is to identify the contribution of noise from external sources to the noise pollution generated by a factory, by comparing sound pressure levels measured in its surroundings and those calculated by noise mapping. A metal-mechanical manufacturing plant was chosen and sound pressure levels were measured at discrete points along two rings around it, called receivers. The noise measurement data from the first ring were entered into the Sound Plan software to determine, through iteration, the factory’s main noise sources. The software then used this information to calculate noise maps and sound pressure levels at the receiver’s positions in the second ring. Finally, the contribution of noise from external sources to the overall noise generated by the factory was determined by comparing the noise measured in the second ring with the simulated data. The placement of partial barriers along some critically noisy walls was found to be effective in controlling nighttime noise, ensuring that the sound level limit for this type of neighborhood, which is established by technical standards for environmental noise as Leq = 60 dB (A), is not reached.
publishDate 2014
dc.date.issued.fl_str_mv 2014
dc.date.accessioned.fl_str_mv 2015-03-05T01:57:51Z
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dc.relation.ispartof.pt_BR.fl_str_mv Journal of scientific & industrial research [recurso eletrônico]. New Delhi. Vol. 73, no. 4 (Dec. 2014), p. 262-266
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