Noise prediction and measurement from construction sites

Construction industry is one of the contributors to economic growth and it has the highest tendency to generate noise. Construction noise becomes one of the main sources of noise pollution which affect the public and construction workers. Construction noise prediction at planning stage must be carri...

Full description

Saved in:

Bibliographic Details
Main Author:	Darus, Nadirah
Format:	Thesis
Language:	English
Published:	2014
Subjects:	HD Industries Land use Labor
Online Access:	http://eprints.utm.my/id/eprint/48541/1/NadirahBintiDarusMFKA2014.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.48541
record_format	uketd_dc
spelling	my-utm-ep.485412017-08-07T04:17:56Z Noise prediction and measurement from construction sites 2014 Darus, Nadirah HD Industries. Land use. Labor Construction industry is one of the contributors to economic growth and it has the highest tendency to generate noise. Construction noise becomes one of the main sources of noise pollution which affect the public and construction workers. Construction noise prediction at planning stage must be carried out and prepared through Environmental Impact Assessment (EIA). There are various methods of construction noise prediction that have been practiced by the respected parties. The British Standards Institution (BSI) and the Department of Environment (DOE) have published BS 5228 – Part 1: 2009 – Code of Practice for Noise and Vibration Control on Construction and Open Sites and The Planning Guidelines for Environmental Noise Limits and Control respectively. These standards and guidelines were usually be used by the respected parties since currently, there are no specific established noise prediction method. However, previous researches were claimed BS 5228 – Part 1: 2009 procedures as inaccurate due to several factors. Thus, this study was carried out to evaluate the disparity of results between construction noise predictions using BS 5228 – Part 1: 2009 procedures and real on-site noise measurements. The objectives of this study are to obtain noise levels from construction sites, to predict noise levels from construction sites and to evaluate the disparity between these two results. The real on-site noise measurements were conducted at three selected construction sites with different stages of construction. Meanwhile, construction noise predictions were calculated using BS 5228 – Part 1: 2009 procedures. The disparity of the results was evaluated using statistical test in Statistical Package for Social Sciences (SPSS) software. The results of one sample T-test show the significant differences between these two results. The disparity might due to several affecting factors such as atmospheric and geometrical factors, operation conditions, periods and powers and work schedules of construction activities. 2014 Thesis http://eprints.utm.my/id/eprint/48541/ http://eprints.utm.my/id/eprint/48541/1/NadirahBintiDarusMFKA2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83842?queryType=vitalDismax&query=Noise+prediction+and+measurement+from+construction+sites&public=true masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HD Industries Land use Labor
spellingShingle	HD Industries Land use Labor Darus, Nadirah Noise prediction and measurement from construction sites
description	Construction industry is one of the contributors to economic growth and it has the highest tendency to generate noise. Construction noise becomes one of the main sources of noise pollution which affect the public and construction workers. Construction noise prediction at planning stage must be carried out and prepared through Environmental Impact Assessment (EIA). There are various methods of construction noise prediction that have been practiced by the respected parties. The British Standards Institution (BSI) and the Department of Environment (DOE) have published BS 5228 – Part 1: 2009 – Code of Practice for Noise and Vibration Control on Construction and Open Sites and The Planning Guidelines for Environmental Noise Limits and Control respectively. These standards and guidelines were usually be used by the respected parties since currently, there are no specific established noise prediction method. However, previous researches were claimed BS 5228 – Part 1: 2009 procedures as inaccurate due to several factors. Thus, this study was carried out to evaluate the disparity of results between construction noise predictions using BS 5228 – Part 1: 2009 procedures and real on-site noise measurements. The objectives of this study are to obtain noise levels from construction sites, to predict noise levels from construction sites and to evaluate the disparity between these two results. The real on-site noise measurements were conducted at three selected construction sites with different stages of construction. Meanwhile, construction noise predictions were calculated using BS 5228 – Part 1: 2009 procedures. The disparity of the results was evaluated using statistical test in Statistical Package for Social Sciences (SPSS) software. The results of one sample T-test show the significant differences between these two results. The disparity might due to several affecting factors such as atmospheric and geometrical factors, operation conditions, periods and powers and work schedules of construction activities.
format	Thesis
qualification_level	Master's degree
author	Darus, Nadirah
author_facet	Darus, Nadirah
author_sort	Darus, Nadirah
title	Noise prediction and measurement from construction sites
title_short	Noise prediction and measurement from construction sites
title_full	Noise prediction and measurement from construction sites
title_fullStr	Noise prediction and measurement from construction sites
title_full_unstemmed	Noise prediction and measurement from construction sites
title_sort	noise prediction and measurement from construction sites
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2014
url	http://eprints.utm.my/id/eprint/48541/1/NadirahBintiDarusMFKA2014.pdf
_version_	1747817415575601152

Noise prediction and measurement from construction sites

Similar Items