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...

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主要な著者: Abdullah S., Akhtari M.I., Ismail M., Ahmed A.N., Mansor W.N.W., Zulkifli M.F.R.
その他の著者: 56509029800
フォーマット: 論文
出版事項: Blue Eyes Intelligence Engineering and Sciences Publication 2023
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id my.uniten.dspace-24601
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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 13.250246