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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my.uniten.dspace-129662020-07-07T02:44:42Z 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. 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. 2020-02-03T03:28:09Z 2020-02-03T03:28:09Z 2019 Article 10.35940/ijrte.B3306.078219 en |
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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. |
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Article |
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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_facet |
Abdullah, S. Akhtari, M.I. Ismail, M. Ahmed, A.N. Mansor, W.N.W. Zulkifli, M.F.R. |
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 |
publishDate |
2020 |
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1672614194074091520 |
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13.222552 |