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

IF 1.7 Q2 ACOUSTICS Noise Mapping Pub Date : 2021-01-01 DOI:10.1515/noise-2021-0001

Arif Susanto, D. Setyawan, Firman Setiabudi, Y. M. Savira, A. Listiarini, E. K. Putro, A. F. Muhamad, J. C. Wilmot, D. Zulfakar, Prayoga Kara, Iting Shofwati, Sodikin Sodikin, M. Tejamaya

{"title":"GIS-based mapping of noise from mechanized minerals ore processing industry","authors":"Arif Susanto, D. Setyawan, Firman Setiabudi, Y. M. Savira, A. Listiarini, E. K. Putro, A. F. Muhamad, J. C. Wilmot, D. Zulfakar, Prayoga Kara, Iting Shofwati, Sodikin Sodikin, M. Tejamaya","doi":"10.1515/noise-2021-0001","DOIUrl":null,"url":null,"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.","PeriodicalId":44086,"journal":{"name":"Noise Mapping","volume":"8 1","pages":"1 - 15"},"PeriodicalIF":1.7000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/noise-2021-0001","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Noise Mapping","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/noise-2021-0001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}

引用次数: 5

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.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于gis的机械化选矿噪声制图

摘要监测工人接触职业噪声的情况对保护他们的健康至关重要，尤其是在工业区。因此，有必要收集工业中机器发出的噪音信息。本研究旨在利用克里格插值方法绘制机械化矿产工业噪声图，并利用ArcGIS 10.5.1对数据进行空间处理和分析。半变差函数的实验计算结果显示，其范围值为0.83，基本参数为1.75，理论模型为球形总模型。结果表明，功耗和Leq值最高的主要机器位于采样区域的西南位置，并投影噪声图来评估工人的噪声暴露水平。总之，研究发现，产生的最高噪声水平在88至97 dBA之间，并对某些位置的整个声压水平有贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Noise Mapping ACOUSTICS-

CiteScore

7.80

自引率

17.90%

发文量

审稿时长

12 weeks

期刊介绍： Ever since its inception, Noise Mapping has been offering fast and comprehensive peer-review, while featuring prominent researchers among its Advisory Board. As a result, the journal is set to acquire a growing reputation as the main publication in the field of noise mapping, thus leading to a significant Impact Factor. The journal aims to promote and disseminate knowledge on noise mapping through the publication of high quality peer-reviewed papers focusing on the following aspects: noise mapping and noise action plans: case studies; models and algorithms for source characterization and outdoor sound propagation: proposals, applications, comparisons, round robin tests; local, national and international policies and good practices for noise mapping, planning, management and control; evaluation of noise mitigation actions; evaluation of environmental noise exposure; actions and communications to increase public awareness of environmental noise issues; outdoor soundscape studies and mapping; classification, evaluation and preservation of quiet areas.

期刊最新文献

Three-dimensional visualisation of traffic noise based on the Henk de-Klujijver model Noise pollution and associated health impacts at Ganeshpeth Bus Terminus in Nagpur, India Reliability of smart noise pollution map Statistical modeling of traffic noise at intersections in a mid-sized city, India Case study on the audibility of siren-driven alert systems