{"title":"Comparative Study of Exposure Assessment of Dust in Building Materials Enterprises Using ART and Monte Carlo","authors":"Wei Jiang , Zonghao Wu , Mengqi Zhang , Haoguang Zhang","doi":"10.1016/j.shaw.2023.12.003","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Dust generated during the processing of building materials enterprises can pose a serious health risk. The study aimed to compare and analyze the results of ART and the Monte Carlo model for the dust exposure assessment in building materials enterprises, to derive the application scope of the two models.</p></div><div><h3>Methods</h3><p>First, ART and the Monte Carlo model were used to assess the exposure to dust in each of the 15 building materials enterprises. Then, a comparative analysis of the exposure assessment results was conducted. Finally, the model factors were analyzed using correlation analysis and the scope of application of the models was determined.</p></div><div><h3>Results</h3><p>The results show that ART is mainly influenced by four factors, namely, localized controls, segregation, dispersion, surface contamination, and fugitive emissions, and applies to scenarios where the workplace information of the building materials enterprises is specific and the average dust concentration is greater than or equal to 1.5 mg/m<sup>3</sup>. The Monte Carlo model is mainly influenced by the dust concentration in the workplace of building materials enterprises and is suitable for scenarios where the dust concentration in the workplace of the building materials enterprises is relatively uniform and the average dust concentration is less than or equal to 6mg/m<sup>3</sup>.</p></div><div><h3>Conclusion</h3><p>ART is most accurate when workplace information is specific and average dust concentration is > 1.5 mg/m<sup>3</sup>; whereas, The Monte Carlo model is the best when dust concentration is homogeneous and average dust concentration is < 6 mg/m<sup>3</sup>.</p></div>","PeriodicalId":56149,"journal":{"name":"Safety and Health at Work","volume":"15 1","pages":"Pages 33-41"},"PeriodicalIF":3.5000,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2093791123000926/pdfft?md5=651e2f915179c5d2a4e8b81e21517e5b&pid=1-s2.0-S2093791123000926-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Safety and Health at Work","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2093791123000926","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Dust generated during the processing of building materials enterprises can pose a serious health risk. The study aimed to compare and analyze the results of ART and the Monte Carlo model for the dust exposure assessment in building materials enterprises, to derive the application scope of the two models.
Methods
First, ART and the Monte Carlo model were used to assess the exposure to dust in each of the 15 building materials enterprises. Then, a comparative analysis of the exposure assessment results was conducted. Finally, the model factors were analyzed using correlation analysis and the scope of application of the models was determined.
Results
The results show that ART is mainly influenced by four factors, namely, localized controls, segregation, dispersion, surface contamination, and fugitive emissions, and applies to scenarios where the workplace information of the building materials enterprises is specific and the average dust concentration is greater than or equal to 1.5 mg/m3. The Monte Carlo model is mainly influenced by the dust concentration in the workplace of building materials enterprises and is suitable for scenarios where the dust concentration in the workplace of the building materials enterprises is relatively uniform and the average dust concentration is less than or equal to 6mg/m3.
Conclusion
ART is most accurate when workplace information is specific and average dust concentration is > 1.5 mg/m3; whereas, The Monte Carlo model is the best when dust concentration is homogeneous and average dust concentration is < 6 mg/m3.
背景建材企业在加工过程中产生的粉尘会对健康造成严重威胁。本研究旨在比较和分析 ART 和 Monte Carlo 模型在建材企业粉尘暴露评估中的结果，以得出两种模型的应用范围。方法首先，使用 ART 和 Monte Carlo 模型分别评估 15 家建材企业的粉尘暴露情况。然后，对暴露评估结果进行比较分析。结果结果表明，ART 主要受四个因素的影响，即局部控制、隔离、扩散、表面污染和逃逸性排放，适用于建材企业工作场所信息具体且平均粉尘浓度大于或等于 1.5 mg/m3 的情况。蒙地卡罗模型主要受建材企业工作场所粉尘浓度的影响，适用于建材企业工作场所粉尘浓度相对均匀且平均粉尘浓度小于或等于 6mg/m3 的情况。当工作场所信息特定且平均粉尘浓度为 1.5 mg/m3 时，ConclusionART 模型最为准确；而当粉尘浓度均匀且平均粉尘浓度为 6 mg/m3 时，蒙地卡罗模型最为理想。
期刊介绍：
Safety and Health at Work (SH@W) is an international, peer-reviewed, interdisciplinary journal published quarterly in English beginning in 2010. The journal is aimed at providing grounds for the exchange of ideas and data developed through research experience in the broad field of occupational health and safety. Articles may deal with scientific research to improve workers'' health and safety by eliminating occupational accidents and diseases, pursuing a better working life, and creating a safe and comfortable working environment. The journal focuses primarily on original articles across the whole scope of occupational health and safety, but also welcomes up-to-date review papers and short communications and commentaries on urgent issues and case studies on unique epidemiological survey, methods of accident investigation, and analysis. High priority will be given to articles on occupational epidemiology, medicine, hygiene, toxicology, nursing and health services, work safety, ergonomics, work organization, engineering of safety (mechanical, electrical, chemical, and construction), safety management and policy, and studies related to economic evaluation and its social policy and organizational aspects. Its abbreviated title is Saf Health Work.
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