Quantification of Respirable Dust Concentration at an Underground Copper Mine Using a Personal Optical Particle Counter

Lubinda Nabiwa*, Joseph Simfukwe, Patrick Hayumbu, Daniel Masilu Masekameni, Nandi Mumba, Mwaba Sifanu and Stephanus J. L. Linde, 
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Abstract

Exposure assessments are conducted using standardized gravimetric sampling (SGS) methodologies. However, the gravimetric analysis of respirable dust (RD) provides only one data point. Based on this background, this study aims to quantify RD concentration and peak RD exposure detected as time-series data using a personal optical particle counter (OPC) for possible applications of exposure monitoring in near-real time. Thirty pairs of side-by-side RD exposure samples were collected (22 personal and 8 static) using the Nanozen DustCount 9000Z1 OPC and SGS (NIOSH 0600). The SGS samples were sent for gravimetric analysis in an ISO 17025:2005-accredited analytical laboratory. A correction equation for the OPC sensor was established using linear regression and was used to correct the RD concentrations that were quantified by the OPC. The RD concentrations quantified by the OPC sensor were strongly correlated with those of the SGS method (r = 0.93), and the Bland-Altman analysis showed a consistent pattern and that, on average, the SGS method measured 0.27 mg/m3 higher than the OPC sensor. The time-weighted average RDopc concentrations were less than 1.5 mg/m3 for the mine sections sampled; the highest peak RDopc concentration was 11.51 mg/m3. The results from the side-by-side sampling showed a consistently positive bias, and the Pearson correlation was strong. Thus, the results from Nanozen DustCount 9000Z1 could be corrected using the SGS results and linear regression. The corrected RD concentration can be used to assess the efficacy of the engineering controls in-time. The exposure data from the OPC complement the SGS results by providing additional exposure data such as peak exposure and particle size distribution. From the corrected RD exposure data, the RCS was estimated. Based on the results of this estimate, there is potential for overexposure to RCS at this mine; thus, miners are likely to develop silicosis.

Abstract Image

用个人光学粒子计数器定量测定地下铜矿呼吸性粉尘浓度
使用标准化重力抽样(SGS)方法进行暴露评估。然而,呼吸性粉尘(RD)的重量分析只提供了一个数据点。基于此背景,本研究旨在利用个人光学粒子计数器(OPC)将RD浓度和峰值RD暴露作为时间序列数据进行量化,为近实时暴露监测提供可能的应用。使用Nanozen DustCount 9000Z1 OPC和SGS (NIOSH 0600)收集了30对并排的RD暴露样本(22对个人和8对静态)。SGS样品被送到ISO 17025:2005认可的分析实验室进行重量分析。利用线性回归建立了OPC传感器的校正方程,并对OPC定量测定的RD浓度进行了校正。OPC传感器定量的RD浓度与SGS方法的浓度呈强相关(r = 0.93), Bland-Altman分析显示出一致的模式,SGS方法测量的RD浓度平均比OPC传感器高0.27 mg/m3。采样矿区的RDopc时间加权平均浓度均小于1.5 mg/m3;RDopc浓度峰值为11.51 mg/m3。并排抽样的结果显示出一致的正偏倚,Pearson相关性很强。因此,Nanozen DustCount 9000Z1的结果可以使用SGS结果和线性回归进行校正。校正后的RD浓度可以用来及时评价工程控制的效果。OPC的暴露数据通过提供额外的暴露数据(如峰值暴露和粒径分布)来补充SGS的结果。根据校正后的RD暴露数据,估计RCS。根据这一估计结果,该矿有可能过度暴露于RCS;因此,矿工很可能患上矽肺病。
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CiteScore
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