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A Stochastic Simulation Framework for the Prediction of Strategic Noise Mapping and Occupational Noise Exposure Using the Random Walk Approach

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  • Lim Ming Han
  • Zaiton Haron
  • Khairulzan Yahya
  • Suhaimi Abu Bakar
  • Mohamad Ngasri Dimon

Abstract

Strategic noise mapping provides important information for noise impact assessment and noise abatement. However, producing reliable strategic noise mapping in a dynamic, complex working environment is difficult. This study proposes the implementation of the random walk approach as a new stochastic technique to simulate noise mapping and to predict the noise exposure level in a workplace. A stochastic simulation framework and software, namely RW-eNMS, were developed to facilitate the random walk approach in noise mapping prediction. This framework considers the randomness and complexity of machinery operation and noise emission levels. Also, it assesses the impact of noise on the workers and the surrounding environment. For data validation, three case studies were conducted to check the accuracy of the prediction data and to determine the efficiency and effectiveness of this approach. The results showed high accuracy of prediction results together with a majority of absolute differences of less than 2 dBA; also, the predicted noise doses were mostly in the range of measurement. Therefore, the random walk approach was effective in dealing with environmental noises. It could predict strategic noise mapping to facilitate noise monitoring and noise control in the workplaces.

Suggested Citation

  • Lim Ming Han & Zaiton Haron & Khairulzan Yahya & Suhaimi Abu Bakar & Mohamad Ngasri Dimon, 2015. "A Stochastic Simulation Framework for the Prediction of Strategic Noise Mapping and Occupational Noise Exposure Using the Random Walk Approach," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-28, April.
    • Handle: RePEc:plo:pone00:0120667
    DOI: 10.1371/journal.pone.0120667
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    References listed on IDEAS

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    1. Marty L. Leonard & Andrew G. Horn, 2008. "Does ambient noise affect growth and begging call structure in nestling birds?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 19(3), pages 502-507.
    2. Nanthavanij, Suebsak & Asadathorn, Nuttapol, 1999. "Determination of dominant facility locations with minimum noise levels for the cost contour map," International Journal of Production Economics, Elsevier, vol. 60(1), pages 319-325, April.
    3. Eduardo Jose Araujo Lima & Benjamin Miranda Tabak, 2004. "Tests of the random walk hypothesis for equity markets: evidence from China, Hong Kong and Singapore," Applied Economics Letters, Taylor & Francis Journals, vol. 11(4), pages 255-258.
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    1. Darina Duplakova & Jan Duplak & Rastislav Kascak, 2022. "Ergonomic Rationalization Sequence of Digital Lighting Design in the Working Environment," IJERPH, MDPI, vol. 19(12), pages 1-19, June.

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