Spatio-temporal analysis of environmental noise in institutional area
Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area...
Saved in:
Main Authors: | , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-24601 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-246012023-05-29T15:24:58Z Spatio-temporal analysis of environmental noise in institutional area Abdullah S. Akhtari M.I. Ismail M. Ahmed A.N. Mansor W.N.W. Zulkifli M.F.R. 56509029800 57210809284 57210403363 57214837520 56896999100 57221126643 Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area in terms of temporal and spatial analysis. Noise level was taken in Universiti Malaysia Terengganu (UMT) campus by using sound level meter at varying time intervals of 0700hrs-1000hrs (morning), 1100hrs � 1400hrs (afternoon) and 1500hrs � 1800hrs (evening) and noise mapping was constructed by using Surfer14� and SketchUp� software. Lmax (78.8 dBA, weekday (WD) and 84.4 dBA, weekend (WK)), LAeq (75.0 dBA, WD and 75.5 dBA, WK), Lmin (43.9 dBA, WD and 41.3 dBA, WK), L10 (66.8 dBA, WD and 58.5 dBA, WK) and L90 (47.5 dBA, WD and 44.4 dBA, WK) were evaluated. Motor vehicles from Class M (cars and buses) shows strong correlation with noise level (Spearman�s correlation coefficient, r=0.74, p<0.01, WD) while Class L (motorcycle) shows strong correlation (Spearman�s correlation coefficient r=0.59, p<0.01, WK). The finding from this study is important for UMT management team to control noise pollution in campus in line to reduce noise exposure towards university students and staff. � BEIESP. Final 2023-05-29T07:24:57Z 2023-05-29T07:24:57Z 2019 Article 10.35940/ijrte.B3306.078219 2-s2.0-85071483649 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071483649&doi=10.35940%2fijrte.B3306.078219&partnerID=40&md5=3c37d185ab035cd617f9fa5b03ea8c0c https://irepository.uniten.edu.my/handle/123456789/24601 8 2 4037 4042 All Open Access, Bronze Blue Eyes Intelligence Engineering and Sciences Publication Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Environmental noise is identified as unwanted sound arises mainly from motor vehicles. The increasing number of motor vehicles in institutional area would negatively affect the environment and students learning process. This study assesses the variability of environmental noise in institutional area in terms of temporal and spatial analysis. Noise level was taken in Universiti Malaysia Terengganu (UMT) campus by using sound level meter at varying time intervals of 0700hrs-1000hrs (morning), 1100hrs � 1400hrs (afternoon) and 1500hrs � 1800hrs (evening) and noise mapping was constructed by using Surfer14� and SketchUp� software. Lmax (78.8 dBA, weekday (WD) and 84.4 dBA, weekend (WK)), LAeq (75.0 dBA, WD and 75.5 dBA, WK), Lmin (43.9 dBA, WD and 41.3 dBA, WK), L10 (66.8 dBA, WD and 58.5 dBA, WK) and L90 (47.5 dBA, WD and 44.4 dBA, WK) were evaluated. Motor vehicles from Class M (cars and buses) shows strong correlation with noise level (Spearman�s correlation coefficient, r=0.74, p<0.01, WD) while Class L (motorcycle) shows strong correlation (Spearman�s correlation coefficient r=0.59, p<0.01, WK). The finding from this study is important for UMT management team to control noise pollution in campus in line to reduce noise exposure towards university students and staff. � BEIESP. |
author2 |
56509029800 |
author_facet |
56509029800 Abdullah S. Akhtari M.I. Ismail M. Ahmed A.N. Mansor W.N.W. Zulkifli M.F.R. |
format |
Article |
author |
Abdullah S. Akhtari M.I. Ismail M. Ahmed A.N. Mansor W.N.W. Zulkifli M.F.R. |
spellingShingle |
Abdullah S. Akhtari M.I. Ismail M. Ahmed A.N. Mansor W.N.W. Zulkifli M.F.R. Spatio-temporal analysis of environmental noise in institutional area |
author_sort |
Abdullah S. |
title |
Spatio-temporal analysis of environmental noise in institutional area |
title_short |
Spatio-temporal analysis of environmental noise in institutional area |
title_full |
Spatio-temporal analysis of environmental noise in institutional area |
title_fullStr |
Spatio-temporal analysis of environmental noise in institutional area |
title_full_unstemmed |
Spatio-temporal analysis of environmental noise in institutional area |
title_sort |
spatio-temporal analysis of environmental noise in institutional area |
publisher |
Blue Eyes Intelligence Engineering and Sciences Publication |
publishDate |
2023 |
_version_ |
1806425913705889792 |
score |
13.222552 |