Urban green spaces and the influence on vehicular traffic noise control

In this paper, we explore a statistical relationship between green areas and traffic-related vehicle noise. A medium-sized Brazilian city was selected as the sampling area. This area was divided into 25 subareas and for each subarea a group of descriptors was developed. The parameters considered wer...

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Main Authors: Lopez, Guillermo Angel Perez, Souza, Léa Cristina Lucas de
Format: Online
Language:eng
Published: ANTAC - Associação Nacional de Tecnologia do Ambiente Construído 2018
Online Access:https://seer.ufrgs.br/ambienteconstruido/article/view/78088
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spelling ojs-article-780882019-01-08T18:43:53Z Urban green spaces and the influence on vehicular traffic noise control Lopez, Guillermo Angel Perez Souza, Léa Cristina Lucas de Urban green spaces; Noise descriptors; Noise traffic; Acoustic comfort; Satellite images; Images processing In this paper, we explore a statistical relationship between green areas and traffic-related vehicle noise. A medium-sized Brazilian city was selected as the sampling area. This area was divided into 25 subareas and for each subarea a group of descriptors was developed. The parameters considered were the areas occupied by green spaces and the noise pollution index generated by vehicular traffic during day and night periods. The green areas were quantified by digital processing of satellite images. The vehicular traffic noise was measured directly at the site and analysed by the noise pollution index (Lnp), the equivalent sound level (LAeq) and the day/night sound level (Ldn). In order to establish the statistical relationship between noise descriptors and green areas, Pearson's linear correlation coefficient (r) was used. Two analysis types were developed: a generalised one, including the 25 subareas; and a specific one, classifying the subareas into clusters. The first analysis indicated a trend to a medium negative correlation between green areas and noise pollution day index (Lnpd), noise pollution night index (Lnpn) and Ldn (r= -0.577, -0.484, -0.373). In the second analysis, the subarea cluster 3 is considered, which includes areas with clinics and educational institutions. This correlation was classified as high negative (r= -0.729, -0.721, -0.541). The results show indexes with high negative correlation, statistically meaning that there is an inverse proportional relationship between green areas and noise pollution. ANTAC - Associação Nacional de Tecnologia do Ambiente Construído Coordination for the Improvement of Higher Education Personnel (CAPES) 2018-10-16 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://seer.ufrgs.br/ambienteconstruido/article/view/78088 Ambiente Construído; v. 18, n. 4 (2018): Edição especial sobre a Cal na Construção - V Jornadas Fical; 161-175 Ambiente Construído; v. 18, n. 4 (2018): Edição especial sobre a Cal na Construção - V Jornadas Fical; 161-175 Ambiente Construído; v. 18, n. 4 (2018): Edição especial sobre a Cal na Construção - V Jornadas Fical; 161-175 1678-8621 1415-8876 eng https://seer.ufrgs.br/ambienteconstruido/article/view/78088/50106 Direitos autorais 2018 Ambiente Construído https://creativecommons.org/licenses/by/4.0
institution Universidade Federal do Rio Grande do Sul
collection OJS
language eng
format Online
author Lopez, Guillermo Angel Perez
Souza, Léa Cristina Lucas de
spellingShingle Lopez, Guillermo Angel Perez
Souza, Léa Cristina Lucas de
Urban green spaces and the influence on vehicular traffic noise control
author_facet Lopez, Guillermo Angel Perez
Souza, Léa Cristina Lucas de
author_sort Lopez, Guillermo Angel Perez
title Urban green spaces and the influence on vehicular traffic noise control
title_short Urban green spaces and the influence on vehicular traffic noise control
title_full Urban green spaces and the influence on vehicular traffic noise control
title_fullStr Urban green spaces and the influence on vehicular traffic noise control
title_full_unstemmed Urban green spaces and the influence on vehicular traffic noise control
title_sort urban green spaces and the influence on vehicular traffic noise control
description In this paper, we explore a statistical relationship between green areas and traffic-related vehicle noise. A medium-sized Brazilian city was selected as the sampling area. This area was divided into 25 subareas and for each subarea a group of descriptors was developed. The parameters considered were the areas occupied by green spaces and the noise pollution index generated by vehicular traffic during day and night periods. The green areas were quantified by digital processing of satellite images. The vehicular traffic noise was measured directly at the site and analysed by the noise pollution index (Lnp), the equivalent sound level (LAeq) and the day/night sound level (Ldn). In order to establish the statistical relationship between noise descriptors and green areas, Pearson's linear correlation coefficient (r) was used. Two analysis types were developed: a generalised one, including the 25 subareas; and a specific one, classifying the subareas into clusters. The first analysis indicated a trend to a medium negative correlation between green areas and noise pollution day index (Lnpd), noise pollution night index (Lnpn) and Ldn (r= -0.577, -0.484, -0.373). In the second analysis, the subarea cluster 3 is considered, which includes areas with clinics and educational institutions. This correlation was classified as high negative (r= -0.729, -0.721, -0.541). The results show indexes with high negative correlation, statistically meaning that there is an inverse proportional relationship between green areas and noise pollution.
publisher ANTAC - Associação Nacional de Tecnologia do Ambiente Construído
publishDate 2018
url https://seer.ufrgs.br/ambienteconstruido/article/view/78088
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