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BY 4.0 license Open Access Published by De Gruyter Open Access January 27, 2021

GIS-based mapping of noise from mechanized minerals ore processing industry

  • Arif Susanto EMAIL logo , Dony O. Setyawan , Firman Setiabudi , Yenni M. Savira , Aprilia Listiarini , Edi K. Putro , Aditya F. Muhamad , John C. Wilmot , Donny Zulfakar , Prayoga Kara , Iting Shofwati , Sodikin Sodikin and Mila Tejamaya
From the journal Noise Mapping

Abstract

Monitoring workers’ exposure to occupational noise is essential, especially in industrial areas, to protect their health. Therefore, it is necessary to collect information on noise emitted by machines in industries. This research aims to map the noise from mechanized mineral ore industry using the kriging interpolation method, and ArcGIS 10.5.1 to spatially process and analyze data. The experimental calculation result of the semivariogram showed a 0.83 range value, with an essential parameter of 1.75 sill and a spherical total theoretical model. The result shows that the main machines with the highest power consumption and the Leq value are located in the southwest position of the sampled areas with a noise map-projected to assess the workers’ noise exposure level. In conclusion, the study found that the highest noise level was generated ranged from 88 to 97 dBA and contributed to the whole sound pressure level at certain positions.

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Received: 2020-08-27
Accepted: 2020-11-08
Published Online: 2021-01-27

© 2021 Arif Susanto et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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