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Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise

PURPOSE: In this study, the spatial and temporal relationship of wind speed, atmospheric particles concentration, and the industrial-induced noise levels during different times of the day were examined, using sawmill industrial location around Ile-Ife in Osun of Nigeria as a case study. METHODS: Mob...

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Autores principales: Ayanlade, Ayansina, Oyegbade, Ebunoluwa Folasade
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084142/
https://www.ncbi.nlm.nih.gov/pubmed/27843755
http://dx.doi.org/10.1186/s40064-016-3553-y
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author Ayanlade, Ayansina
Oyegbade, Ebunoluwa Folasade
author_facet Ayanlade, Ayansina
Oyegbade, Ebunoluwa Folasade
author_sort Ayanlade, Ayansina
collection PubMed
description PURPOSE: In this study, the spatial and temporal relationship of wind speed, atmospheric particles concentration, and the industrial-induced noise levels during different times of the day were examined, using sawmill industrial location around Ile-Ife in Osun of Nigeria as a case study. METHODS: Mobile devices were used to measure noise level and basic meteorological parameters were examined and their influences on the noise levels distribution were assessed. The maximum and minimum sound levels; L(max) and L(min), the PM(10) and PM(1) particle concentrations, wind speeds and directions were measured in the morning (7–9 a.m.), afternoon (12–2) and evening (4–6 p.m.) over 14 consecutive days. RESULTS: The results revealed that the noise level varies spatiotemporally, much more consistent spatial distribution along the vicinity of sawmill industries. A higher level of noise occurred during the weekday (WD), L(eq) > 70 dB(A), compared to weekends (WE). Extreme average noise levels are associated with the immediate neighbourhood of sawmill industrial areas during WD compared to streets and road annexes of the study area. The results also show a very weak relationship between noise and PM(10) and PM(coarse) for both WD and WE with r < 0.35 for PM(1) and r < 0.20 for PM(coarse.) There appears to be a moderate significant correlation between noise level and PM(1) during some meteorological conditions with r > 0.51. CONCLUSION: The slight relationship between noise and PM(1) is perhaps a result of wind movement that carries particles from the source region since booth noise and particles mostly originate from the sawmill. The study concludes that wind speeds and directions have a significant influence on both noise level and particle concentration within the study sites.
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spelling pubmed-50841422016-11-14 Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise Ayanlade, Ayansina Oyegbade, Ebunoluwa Folasade Springerplus Research PURPOSE: In this study, the spatial and temporal relationship of wind speed, atmospheric particles concentration, and the industrial-induced noise levels during different times of the day were examined, using sawmill industrial location around Ile-Ife in Osun of Nigeria as a case study. METHODS: Mobile devices were used to measure noise level and basic meteorological parameters were examined and their influences on the noise levels distribution were assessed. The maximum and minimum sound levels; L(max) and L(min), the PM(10) and PM(1) particle concentrations, wind speeds and directions were measured in the morning (7–9 a.m.), afternoon (12–2) and evening (4–6 p.m.) over 14 consecutive days. RESULTS: The results revealed that the noise level varies spatiotemporally, much more consistent spatial distribution along the vicinity of sawmill industries. A higher level of noise occurred during the weekday (WD), L(eq) > 70 dB(A), compared to weekends (WE). Extreme average noise levels are associated with the immediate neighbourhood of sawmill industrial areas during WD compared to streets and road annexes of the study area. The results also show a very weak relationship between noise and PM(10) and PM(coarse) for both WD and WE with r < 0.35 for PM(1) and r < 0.20 for PM(coarse.) There appears to be a moderate significant correlation between noise level and PM(1) during some meteorological conditions with r > 0.51. CONCLUSION: The slight relationship between noise and PM(1) is perhaps a result of wind movement that carries particles from the source region since booth noise and particles mostly originate from the sawmill. The study concludes that wind speeds and directions have a significant influence on both noise level and particle concentration within the study sites. Springer International Publishing 2016-10-28 /pmc/articles/PMC5084142/ /pubmed/27843755 http://dx.doi.org/10.1186/s40064-016-3553-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Ayanlade, Ayansina
Oyegbade, Ebunoluwa Folasade
Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title_full Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title_fullStr Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title_full_unstemmed Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title_short Influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
title_sort influences of wind speed and direction on atmospheric particle concentrations and industrially induced noise
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084142/
https://www.ncbi.nlm.nih.gov/pubmed/27843755
http://dx.doi.org/10.1186/s40064-016-3553-y
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