Monte Carlo Analysis for Prediction of Noise from a Construction Site
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Abstract
The large number of operations involving noisy machinery associated with construction site activities result in considerable variation in the noise levels experienced at receiver locations. This paper suggests an approach to predict noise levels generated from a site by using a Monte Carlo approach. This approach enables the determination of details regarding the statistical uncertainties associated with noise level predictions or temporal distributions. This technique could provide the basis for a generalised prediction technique and a simple noise management tool.
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Zaiton Haron, and Khairulzan Yahya. 2009. “Monte Carlo Analysis for Prediction of Noise from a Construction Site”. Journal of Construction in Developing Countries 14 (1): 1-14. https://doi.org/10.21315/.
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