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Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim

Traffic noise pollution is one of the problems in the urban environment as a result of rapid economic development which has led to an increase in the volume of diversified motor vehicle traffic flows. This condition may affect the well-being and human health as well as its surroundings if exposed to...

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Main Authors: Norina Omar,, Ahmad Fauzi Al-Faid Ahmed Azlee,, Mufarrahah Mayadi,, Nur Izzah Hazwani Mohd Amin,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/18745/1/15.pdf
http://journalarticle.ukm.my/18745/
https://www.ukm.my/jkukm/volume-3401-2022/
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spelling my-ukm.journal.187452022-06-03T00:56:30Z http://journalarticle.ukm.my/18745/ Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim Norina Omar, Ahmad Fauzi Al-Faid Ahmed Azlee, Mufarrahah Mayadi, Nur Izzah Hazwani Mohd Amin, Traffic noise pollution is one of the problems in the urban environment as a result of rapid economic development which has led to an increase in the volume of diversified motor vehicle traffic flows. This condition may affect the well-being and human health as well as its surroundings if exposed to high noise levels for a long period of time or continuously. Therefore, this study was conducted to measure the level of traffic noise at 15 selected observation stations around Kulim city, Kedah. Next, the noise distribution coverage area is mapped by using Inverse Distance Weight (IDW) interpolation technique. Sound data was measured in the morning, noon, evening and night of working and non-working days by using the Sound Level Meter device. Sound observation data was analyzed to depict the concentration areas of traffic noise at the station involved in form of map visualization. Noise level comparisons were analyzed together with Department of Environment (DOE) and World Health Organization (WHO) standards. The results of the study found that all the sampling stations exceeded the standard limits allowed on working days as well as non -working days for urban and commercial land-use types. The mean values of the highest noise levels (Leq) on working days and non-working days at day times were 78.2 (S7) and 80.3 dBA (S5) respectively. Meanwhile, the highest noise level readings recorded on working days and not working at night were 76.6 and 76.9 dBA respectively, which involves observation stations 2 and 3. Several mitigation strategies were stated to overcome the problem of traffic noise in the city as a measure to curb noise pollution in the affected areas. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18745/1/15.pdf Norina Omar, and Ahmad Fauzi Al-Faid Ahmed Azlee, and Mufarrahah Mayadi, and Nur Izzah Hazwani Mohd Amin, (2022) Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim. Jurnal Kejuruteraan, 34 (1). pp. 155-164. ISSN 0128-0198 https://www.ukm.my/jkukm/volume-3401-2022/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Traffic noise pollution is one of the problems in the urban environment as a result of rapid economic development which has led to an increase in the volume of diversified motor vehicle traffic flows. This condition may affect the well-being and human health as well as its surroundings if exposed to high noise levels for a long period of time or continuously. Therefore, this study was conducted to measure the level of traffic noise at 15 selected observation stations around Kulim city, Kedah. Next, the noise distribution coverage area is mapped by using Inverse Distance Weight (IDW) interpolation technique. Sound data was measured in the morning, noon, evening and night of working and non-working days by using the Sound Level Meter device. Sound observation data was analyzed to depict the concentration areas of traffic noise at the station involved in form of map visualization. Noise level comparisons were analyzed together with Department of Environment (DOE) and World Health Organization (WHO) standards. The results of the study found that all the sampling stations exceeded the standard limits allowed on working days as well as non -working days for urban and commercial land-use types. The mean values of the highest noise levels (Leq) on working days and non-working days at day times were 78.2 (S7) and 80.3 dBA (S5) respectively. Meanwhile, the highest noise level readings recorded on working days and not working at night were 76.6 and 76.9 dBA respectively, which involves observation stations 2 and 3. Several mitigation strategies were stated to overcome the problem of traffic noise in the city as a measure to curb noise pollution in the affected areas.
format Article
author Norina Omar,
Ahmad Fauzi Al-Faid Ahmed Azlee,
Mufarrahah Mayadi,
Nur Izzah Hazwani Mohd Amin,
spellingShingle Norina Omar,
Ahmad Fauzi Al-Faid Ahmed Azlee,
Mufarrahah Mayadi,
Nur Izzah Hazwani Mohd Amin,
Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
author_facet Norina Omar,
Ahmad Fauzi Al-Faid Ahmed Azlee,
Mufarrahah Mayadi,
Nur Izzah Hazwani Mohd Amin,
author_sort Norina Omar,
title Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
title_short Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
title_full Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
title_fullStr Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
title_full_unstemmed Traffic noise mapping using inverse distance weight interpolation technique : a case study in Bandar Kulim
title_sort traffic noise mapping using inverse distance weight interpolation technique : a case study in bandar kulim
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2022
url http://journalarticle.ukm.my/18745/1/15.pdf
http://journalarticle.ukm.my/18745/
https://www.ukm.my/jkukm/volume-3401-2022/
_version_ 1735387661872398336
score 13.211869

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