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Construction site noise modelling using stochastic techniques

The prediction of noise arising from an construction activities represents a problem when a number of different processes are carried out at different times in the course of the working day. These typically involve the use of powerful machines that have correspondingly high sound power levels[1]. Th...

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Main Authors:	Haron, Zaiton, Yahya, Khairulzan, Oldham, David
Format:	Book Section
Published:	Penerbit UTM 2008
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/18921/
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id	my.utm.18921
record_format	eprints
spelling	my.utm.189212017-02-05T00:58:56Z http://eprints.utm.my/id/eprint/18921/ Construction site noise modelling using stochastic techniques Haron, Zaiton Yahya, Khairulzan Oldham, David TA Engineering (General). Civil engineering (General) The prediction of noise arising from an construction activities represents a problem when a number of different processes are carried out at different times in the course of the working day. These typically involve the use of powerful machines that have correspondingly high sound power levels[1]. The nature of the sources, coupled with the limited opportunities for the screening of neighbouring sensitive locations from the noise generated, means that complaints often arise from such activities. Problems can be avoided if noise levels arising from these activities can be controlled to comply with the noise limits specified by the local authority at the planning stage. This requires the application of a suitable noise prediction technique, however, the noise experienced at a receiver is affected by factors such as movement of machinery around the site, the operational characteristics of the machinery, distance from the site, ground cover, screening and meteorological conditions. At the planning stage the data regarding these factor are very granular Current prediction procedures give the typical equivalent noise level (Leq) corresponding to the working day. However, this quantity yields no information regarding the temporal or statistical variation in noise levels arising from site operations. Although Leq, because of its relative ease of use for prediction purposes, has become a preferred unit for environmental noise measurements and standards, the importance of temporal variations on subjective response was recognized in the early days of environmental noise research and a number of complex noise units were proposed which involved temporal parameters. The temporal variation of environmental noise has also been recognized in contemporary work on soundscape where measurements of short Leq are often made and sometimes presented in the form of statistical data[3]. This chapter dealt with the basis of a prediction using stochastic techniques namely Monte Carlo and probability technique. Penerbit UTM 2008 Book Section PeerReviewed Haron, Zaiton and Yahya, Khairulzan and Oldham, David (2008) Construction site noise modelling using stochastic techniques. In: Issues in Construction Industry. Penerbit UTM , Johor, pp. 51-67. ISBN 978-983-52-0568-2
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Haron, Zaiton Yahya, Khairulzan Oldham, David Construction site noise modelling using stochastic techniques
description	The prediction of noise arising from an construction activities represents a problem when a number of different processes are carried out at different times in the course of the working day. These typically involve the use of powerful machines that have correspondingly high sound power levels[1]. The nature of the sources, coupled with the limited opportunities for the screening of neighbouring sensitive locations from the noise generated, means that complaints often arise from such activities. Problems can be avoided if noise levels arising from these activities can be controlled to comply with the noise limits specified by the local authority at the planning stage. This requires the application of a suitable noise prediction technique, however, the noise experienced at a receiver is affected by factors such as movement of machinery around the site, the operational characteristics of the machinery, distance from the site, ground cover, screening and meteorological conditions. At the planning stage the data regarding these factor are very granular Current prediction procedures give the typical equivalent noise level (Leq) corresponding to the working day. However, this quantity yields no information regarding the temporal or statistical variation in noise levels arising from site operations. Although Leq, because of its relative ease of use for prediction purposes, has become a preferred unit for environmental noise measurements and standards, the importance of temporal variations on subjective response was recognized in the early days of environmental noise research and a number of complex noise units were proposed which involved temporal parameters. The temporal variation of environmental noise has also been recognized in contemporary work on soundscape where measurements of short Leq are often made and sometimes presented in the form of statistical data[3]. This chapter dealt with the basis of a prediction using stochastic techniques namely Monte Carlo and probability technique.
format	Book Section
author	Haron, Zaiton Yahya, Khairulzan Oldham, David
author_facet	Haron, Zaiton Yahya, Khairulzan Oldham, David
author_sort	Haron, Zaiton
title	Construction site noise modelling using stochastic techniques
title_short	Construction site noise modelling using stochastic techniques
title_full	Construction site noise modelling using stochastic techniques
title_fullStr	Construction site noise modelling using stochastic techniques
title_full_unstemmed	Construction site noise modelling using stochastic techniques
title_sort	construction site noise modelling using stochastic techniques
publisher	Penerbit UTM
publishDate	2008
url	http://eprints.utm.my/id/eprint/18921/
_version_	1643647022808432640
score	13.211869

Construction site noise modelling using stochastic techniques

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