GIS-based mapping of noise from mechanized minerals ore processing industry-Reference-Cited by-同舟云学术

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

Published:2021-01-01 Issue:1 Volume:8 Page:1-15
ISSN:2084-879X
Container-title:Noise Mapping
language:en
Short-container-title:

Author:

Susanto Arif¹,Setyawan Dony O.²,Setiabudi Firman²,Savira Yenni M.³,Listiarini Aprilia³,Putro Edi K.³,Muhamad Aditya F.³,Wilmot John C.⁴,Zulfakar Donny⁵,Kara Prayoga⁶,Shofwati Iting⁷,Sodikin Sodikin⁷,Tejamaya Mila⁸

Affiliation:

1. Green Technology Research Center, Doctorate Program in Environmental Science , School of Postgraduate Studies Universitas Diponegoro , Semarang 50241 , Indonesia ; Department of Environmental Engineering, Faculty of Civil and Planning Engineering , Universitas Kebangsaan Republik Indonesia, Bandung 40268 , Indonesia ; Industrial Hygiene & Environmental Health, Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia , Tembagapura 99960 , Indonesia

2. GIS-Section, GeoData & Modeling, Department of Geologic Data Management , Geo-Engineering Division of PT Freeport Indonesia , Tembagapura 99960 , Indonesia

3. Department of Safety Health & Environmental, Concentrating Division of PT Freeport Indonesia , Tembagapura 99960 , Indonesia

4. Department of Mill Operation, Concentrating Division of PT Freeport Indonesia , United States of America

5. Department of Mill Maintenance, Concentrating Division of PT Freeport Indonesia , Tembagapura , 99960 , Indonesia

6. Department of Industrial Hygiene & Occupational Health, Division of Occupational Health & Safety , PT Freeport Indonesia, Tembagapura 99960 , Indonesia

7. Department of Occupational Safety and Health, Faculty of Health Science , Universitas Islam Negeri Syarif Hidayatullah Jakarta , Banten 15419 , Indonesia

8. Department of Occupational Safety and Health, Faculty of Public Health , Universitas Indonesia , Depok 16424

Abstract

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.

Publisher

Walter de Gruyter GmbH

Subject

Management, Monitoring, Policy and Law,Urban Studies,Acoustics and Ultrasonics

Link

https://www.degruyter.com/document/doi/10.1515/noise-2021-0001/pdf

Reference65 articles.

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