Spatio-Temporal Analysis of Environmental Noise in Institutional Area
Samsuri Abdullah1, Muhd Irfan Akhtari2, Marzuki Ismail3, Ali Najah Ahmed4, Wan Nurdiyana Wan Mansor5, Mohammad Fakhratul Ridwan Zulkifli6
1Samsuri Abdullah, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
2Muhd Irfan Akhtari, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
3Marzuki Ismail, Faculty of Science and Marine Environment, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
4Ali Najah Ahmed, Faculty of Engineering, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia; Institute of Engineering Infrastructures, Universiti Tenaga Nasional, 43650 Bangi, Selangor, Malaysia.
5Wan Nurdiyana Wan Mansor, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Air Quality and Environment Research Group, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.
6Mohammad Fakhratul Ridwan Zulkifli, Faculty of Ocean Engineering Technology and Informatics, University Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia
Manuscript received on 04 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 4037-4042 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3306078219/19©BEIESP | DOI: 10.35940/ijrte.B3306.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Index Terms: Correlation, Environmental Noise, Institutional Area, Motor Vehicles, Sound Level Meter.
Scope of the Article: Analysis of Algorithms and Computational Complexity