Analysis of Black Carbon (BC) concentration distribution in relation to Lung-Deposited Surface Area (LDSA) measured in the operational drift of the underground metalliferous mine

IF 5.4 Q2 ENGINEERING, ENVIRONMENTAL
Sergei Sabanov , Jurgen Brune , Liang Wang , Ruslana Korshunova , Abdullah R. Qureshi , Nursultan Kuzembayev
{"title":"Analysis of Black Carbon (BC) concentration distribution in relation to Lung-Deposited Surface Area (LDSA) measured in the operational drift of the underground metalliferous mine","authors":"Sergei Sabanov ,&nbsp;Jurgen Brune ,&nbsp;Liang Wang ,&nbsp;Ruslana Korshunova ,&nbsp;Abdullah R. Qureshi ,&nbsp;Nursultan Kuzembayev","doi":"10.1016/j.hazadv.2025.100672","DOIUrl":null,"url":null,"abstract":"<div><div>The assessment of air quality in underground metalliferous mines is crucial due to the high occupational exposure risks posed by diesel particulate matter (DPM) as a by-product of diesel engine emissions. This study presents the results of the analysis of black carbon (BC), as a surrogate of DPM, concentration distribution in relation to Lung-Deposited Surface Area (LDSA). The measurements were produced at the working diesel engine equipment within two sections (planes) of the mine drift, where for each plane the nine sampling points were used. Correlation factors between BC, LDSA, PMs, and airflow velocity were produced, and relationships of particle number concentration (PNC), BC, and LDSA to particle diameter were elaborated. BC at an average concentration of 2591 µg/m<sup>3</sup> with a particle diameter of 90 nm had the worst dilution factor (0.13) within the 9 meters length between the measured points of two planes compared to LDSA (0.29) at concentration 4017 µm²/cm³ and PM<sub>1</sub> (0.34) at concentration 2982 µg/m<sup>3</sup>. Monte Carlo modelling analysed the concentrations distribution range of BC to PM<sub>0.3</sub>, PM<sub>1</sub> and PM<sub>2.5</sub> considering the instruments' accuracy, and demonstrated reasonable confidence regions of BC and LDSA concentrations between each measurement point during their distribution from Plane 1 to Plane 2. Developed risk assessment produced the event tree analysis by demonstrating LDSA high exposure zones considering toxic effect timing. This study offers an integrated, spatial-temporal characterization of diesel exhaust and LDSA, thereby contributing novel insights into the dispersion of the health-relevant aerosol exposure of underground miners.</div></div>","PeriodicalId":73763,"journal":{"name":"Journal of hazardous materials advances","volume":"18 ","pages":"Article 100672"},"PeriodicalIF":5.4000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of hazardous materials advances","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772416625000841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0

Abstract

The assessment of air quality in underground metalliferous mines is crucial due to the high occupational exposure risks posed by diesel particulate matter (DPM) as a by-product of diesel engine emissions. This study presents the results of the analysis of black carbon (BC), as a surrogate of DPM, concentration distribution in relation to Lung-Deposited Surface Area (LDSA). The measurements were produced at the working diesel engine equipment within two sections (planes) of the mine drift, where for each plane the nine sampling points were used. Correlation factors between BC, LDSA, PMs, and airflow velocity were produced, and relationships of particle number concentration (PNC), BC, and LDSA to particle diameter were elaborated. BC at an average concentration of 2591 µg/m3 with a particle diameter of 90 nm had the worst dilution factor (0.13) within the 9 meters length between the measured points of two planes compared to LDSA (0.29) at concentration 4017 µm²/cm³ and PM1 (0.34) at concentration 2982 µg/m3. Monte Carlo modelling analysed the concentrations distribution range of BC to PM0.3, PM1 and PM2.5 considering the instruments' accuracy, and demonstrated reasonable confidence regions of BC and LDSA concentrations between each measurement point during their distribution from Plane 1 to Plane 2. Developed risk assessment produced the event tree analysis by demonstrating LDSA high exposure zones considering toxic effect timing. This study offers an integrated, spatial-temporal characterization of diesel exhaust and LDSA, thereby contributing novel insights into the dispersion of the health-relevant aerosol exposure of underground miners.

Abstract Image

求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of hazardous materials advances
Journal of hazardous materials advances Environmental Engineering
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
50 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信