4. Electronic Theses and Dissertations (ETDs) - Faculties submissions
Permanent URI for this communityhttps://hdl.handle.net/10539/37773
Browse
16 results
Search Results
Item Reporting Silica Dust Exposure Measurements in South African Gold and Coal Mines: 2005 to 2016(University of the Witwatersrand, Johannesburg, 2023-10) Mongoma, Brian Tshepo; Nelson, Gill; Brouwer, DerkBackground: Arising from the Mine Health and Safety Act 29 of 1996 (MHSA), one of the measures to protect mine workers is monitoring exposure to airborne pollutants. Mines are statutorily required to report airborne pollutant concentrations to the Department of Mineral Resources and Energy (DMRE) on a regular basis. Based on the DMRE's 2013 report, it was determined that 76% of workers were exposed to airborne pollutants at concentrations less than 10% of their respective occupational exposure limits (OELs). Using the same exposure data from the DMRE, the Chamber of Mines of South Africa reported a 14% improvement in the exposure to the airborne pollutants from 2005 to 2013. However, these reported reduced exposures to airborne pollutants are based on the summation of all airborne pollutant exposures by the DMRE. The annual reports refer to the percentage of employees exposed to the combined airborne pollutants, rather than to specific pollutants, such as silica dust – a hazard that is high on the occupational health agenda of the mining industry. From these reports, broad (and perhaps incorrect) conclusions are reached with regard to trends in silica dust and other exposures. The limitations of the SAMI include inaccurate data, self-regulation, incomplete employment and exposure records, and historical biases, which hinder its ability to effectively handle occupational health risks. This emphasizes the immediate need for clear and consistent regulations, accurate data collection, and impartial research approaches to protect the health of mine workers. Objectives: The objectives of this study were to describe trends in combined airborne pollutant and silica dust concentrations from 2005 to 2016, and to evaluate the DMRE Mandatory Code of Practice (MCoP) and the EN 689 methods (for testing exposure levels in the workplace against the OEL of 0.1 mg/m3) as published by the European Committee for Standardization (CEN), using reported silica dust concentrations from 2015 and 2016. Methods: This was a cross-sectional study in which secondary airborne pollutants exposure data, reported to the DMRE by coal and gold mining members of the Minerals Council, were analysed. The 282 870 data points were pooled together to describe trends in airborne pollutant exposures as they comprised 69 airborne pollutants reported by different mines with various mining methods, activities, and occupations. The exposure data was categorized into coal and gold mines, and further into four three-yearly periods (i.e. period 1: 2005-2007, period 2: 2008-2010, period 3: 2011-2013, and period 4: 2014-2016). This was conducted in order to have a consistent metric to allow for uniform assessment across different pollutants with varying OELs. Dividing the exposure concentration by its OEL provided a ratio, similarly to the way that an Air Quality Index is calculated. As a result, the data was normalized by dividing each pollutant exposure concentration by its occupational exposure limit (OEL) to obtain a ratio, termed Q. The arithmetic mean, standard deviation, geometric mean, and geometric standard deviation of the Qs were calculated for each of the three groups i.e. coal and gold mines combined, b) coal mines, and c) gold mines, for each period. Jeffreys’s Amazing Statistics Program was used to analyse the Qs and silica dust concentrations. The Kruskal–Wallis test was used to identify statistically significant differences among the four time periods for each commodity group. Additionally, Scheffe’s post-hoc test in JASP was conducted for further analysis and comparison of differences across all observed periods. Two methods, namely the EN 689 and the method required by the DMRE MCoP, were used to assess compliance. EXPOSTATS Tool 1 was used to calculate the arithmetic mean (AM), median, standard deviation (SD), geometric mean (GM), geometric standard deviation (GSD), and 90th and 95th percentiles of the exposure data derived from EN 689. Microsoft Excel was used to calculate the 90th and 95th percentiles of the exposure data based on MCoP method. A total of 127 014 silica dust data points from 2005 to 2016 out of the 282 870 were utilized to describe silica dust exposure trends, and 44 990 data points from the 127 014 were used to assess compliance for the years 2015 and 2016. Results: A total of 282 870 personal airborne pollutant concentrations from 2005 to 2016, obtained from DMRE, were included the analysis. Analysis of the pooled airborne pollutant exposure concentrations indicated that there was a high variability (data points were far apart and also far from the GM) as the GSDs ranged from 6.37 to 7.53, 7.8 to 8.43, and 5.7 to 6.16 for the coal and gold mines combined, coal mines alone, and gold mines alone, respectively. The variabilities of the silica dust concentrations were less than that of the pooled airborne pollutant data. The GSDs of the silica dust concentrations were < 3.5 for all three groups compared to the GSDs calculated from the pooled airborne pollutants concentrations, where the lowest GSD was 5.7. The trends in the pooled airborne pollutant exposure concentrations over the 12-year period, for all three groups, showed that there was a reduction in reported exposures to combined airborne pollutants. The AMs of the ratios (Q) indicated that the reduction in exposures for coal and gold mines combined, gold mining alone and coal mining alone, were 57%, 55% and 26%, respectively. The corresponding GMs of the ratios (Q) for gold mining alone, coal and gold mines combined, and coal mining alone, reduced by 64%, 45% and 15%, respectively, from 2005 to 2016. The distribution of the airborne pollutant data was skewed, which affected AM more than GM, and resulted in differences between the two measures. This was evident in the gold mining data, where the AM decreased by 55% but the GM decreased by 64%. Data for the period 2005-2007 had the highest AM (1.54) and standard deviation (2.75), suggesting that there were outliers. In this period, ratios (Q) ranged from 0.003 to 7.7, impacting the AM and creating a gap between median and AM values. From 2008 to 2010, the AM (1.26) and SD (2.04) decreased, showing reduced variability. A similar trend was observed from 2011 to 2013, with increased numbers of observations and further reduced variability. In 2014-2016, the AM decreased to 0.67 and SD to 1, indicating stability. The GMs for the coal and gold mines combined, coal mines alone and gold mines alone ranged from 0.17 to 0.31, from 0.22 to 0.28, and from 0.16 to 0.45, respectively. The trends in reported silica dust concentrations in all three groups showed a reduction over the 12-year period. The AMs indicated that the reductions for coal and gold mines combined, gold mining alone and coal mining alone, were 61%, 38% and 34%, respectively. The GMs of the silica dust concentrations indicated that the reductions in exposures for coal and gold mines combined, coal mining alone, and gold mining alone, were 54%, 35% and 31%, respectively. The AMs of the silica dust concentrations for coal and gold mines combined ranged from 0.17 to 0.44 mg/m3, while the coal mines ranged from 0.67 to 1.02 mg/m3 from 2005 to 2016. For gold mines, the AMs ranged from 0.13 to 0.23 mg/m3. Similarly, the GMs of the silica dust concentrations for the coal and gold mines combined ranged from 0.11 to 0.24 mg/m3, whereas coal mines ranged from 0.41 to 0.63 mg/m3, and gold mines ranged from 0.09 to 0.13 mg/m3. The 90th percentiles for the silica dust concentrations almost correlated with the AMs as they reduced by 67%, 40% and 34% for coal and gold mining combined, gold mining alone, and coal mining alone, respectively. The 90th percentiles for silica dust concentrations for the coal and gold mines ranged from 1.64 to 2.48 mg/m3, and 0.29 to 0.51 mg/m3, respectively. Although the trends indicated a reduction in exposure to silica dust concentrations, the AM, GM, 90th and 95th percentiles exceeded the OEL of 0.1 mg/m3 for the entire study period for the three groups, except for the gold mines alone in 2016. In that year, the GM was 0.09 mg/m3 (rounded to 0.1 mg/m3). For coal mining only, the 90th percentiles ranged from 1.64 to 2.48 mg/m3, whereas the 95th percentiles ranged from 2.16 to 3.16 mg/m3. For gold mining only, the 90th percentiles ranged from 0.29 to 0.51 mg/m3, and the 95th percentiles ranged from 0.35 - 0.63 mg/m3. A total of 44 990 silica dust concentrations were used from 2015 to 2016 to compare the 95th percentiles according to EN 689, and the 90th percentiles according to the MCoP. The DMRE MCoP method was shown to underestimate the exceedance of the occupational exposure limit by 5-26%, when compared with the EN 689 method. Conclusion: Despite the variabilities and challenges associated with pooling the airborne pollutants concentrations in the coal and gold mining industries, exposures to the airborne pollutants in the three commodity groups decreased from 2005 to 2016. However, reporting employee exposure as pooled airborne pollutants concentrations is flawed and obscures exposures to individual pollutants such as silica dust. The three commodity groups showed a decrease in silica dust exposure measurements from 2005 to 2016. However, there was still overexposure to silica dust in the three groups (greater than the OEL of 0.1 mg/m3). Inhalation of particles containing silica was higher in the coal than the gold mines, which is contradictory to what is known about the silica content of the ores in which the two commodities are found. The DMRE MCoP approach to compliance with silica dust levels underestimated the exceedance of the OEL in comparison to the EN 689’s approach. The current DMRE reporting methodology, i.e. the pooling of all data, does not allow accurate reporting of silica dust exposures and as a result, it does not provide direction or support for carrying out measures to decrease exposure to silica dust. The MCoP method for compliance testing revealed higher 90th-percentiles for coal mining compared to the 90th-percentile estimated for the population (EN 689). For gold mining it was the opposite. The EN 689 method is a more precise means of estimating OEL compliance, which is crucial for managing silica dust and specific pollutant health hazards and should be used in favour of the method in the MCoP.Item The use of 4IR technology in accelerating net zero transition in the South African mining industry(University of the Witwatersrand, Johannesburg, 2024) Belur, Ramaprasad Deepak; Lee, Gregory JohnThis quantitative study aimed to assess the impact of fourth industrial revolution (4IR) technology adoption on the ability of South African mining companies to accelerate their transition to net zero, focusing specifically on the reduction of greenhouse gas (GHG) emissions. There has been an urgent need to research the nature of association, and if so, the impact of such association between rate of adoption of 4IR technology's ability to accelerate net zero transition, given the new challenges in the South African mining sector in the wake of the phase 2 carbon tax regime. Through a comprehensive survey, desktop analysis and subsequent statistical analysis involving multiple mining entities across South Africa, this study investigated the direct and indirect relationships between 4IR technology maturity and the efficacy of GHG emission reduction strategies, thereby accelerating net zero transition. The study revealed a complex relationship between 4IR maturity and GHG emissions, moderated by organisations' access to financial and skill resources. Contrary to expectations, no significant direct indirect linear relationship was found between aspects of 4IR maturity and GHG emissions. The research suggests a moderate, statistically insignificant negative association, which becomes more pronounced and statistically significant when considering organisations' financial status and employee size. The study was conducted using a cross-sectional method using a non- experimental approach and focused on establishing the corelation between two key variables namely, 4IR maturity and acceleration of net zero transition through GHG reduction. The causality of these two variables was not investigated. The study was undertaken by choosing a sample which was representative of the JSE listed mining companies. Hence extended population of global mining organisation needs to consider specific regional considerations before generalising the findings. iii By emphasising the crucial relationship between technological innovation and climate change mitigation, these findings not only advance our understanding of technology's role in environmental sustainability within the mining sector, but also provide useful information to industry stakeholders, policymakers, and sustainability strategists. This work offers a fundamental structure for subsequent investigations and tactical planning with the objective of harnessing 4IR developments to promote a more ecologically conscious and sustainable mining sector in South AfricaItem Improving the Productivity of the Styldrift Platinum Mine using the Theory of Constraints(University of the Witwatersrand, Johannesburg, 2023) Tingini, Tinotenda LionelThe purpose of this research was to apply Theory of Constraints (TOC) to identify constraints affecting the Styldrift mine’s productivity and develop strategies on how TOC can be used to improve productivity in operations. Due to limitations in resources, the study was focused only on one crew. To identify the constraints limiting production at Styldrift mine, time and motion studies were conducted for a period of a month. The data was collected from direct observations as well as end of shift production reports. Control charts were then used to summarise the observations of the time and motion studies for each critical activity in each shift. The data from the Control charts was then analysed to identify the constraints. From the Control Charts, it was observed that the main constraint limiting productivity at the crew was the issue of blockages, as it contributed the most (42%) to the factors affecting production. After identifying the main constraint, a root cause analysis was conducted using TOC’s Current Reality Tree (CRT). The root cause analysis identified the mine’s cost cutting drives, the role of the union, long working hours, the mine’s local empowerment policies, and the utilization of the axess rig for other task other than the installation of secondary support, as the core problems leading to the blockages. To develop strategies to solve these core problems, the TOC’s Evaporating Cloud (EC) thought process (TP) tool was applied to come up with more optimal solutions to the identified problems. A Future Reality Tree (FRT) was then constructed using the EC. This research illustrated how the TOC’s thought process tools such as the EC, CRT and FRT can be applied in the mining context to identify constraints limiting productivity and develop strategies to exploit and eliminate those constraints. It however did not manage to illustrate explicitly how the five focus steps of TOC can be applied to improve productivity in the mining context. This is an area further research can focus onItem Experiences of Thabazimbi Resident Mine Employees Regarding the Perceived Effects of Mining Activities within their Community. The case of Amandelbult Mine in Limpopo, South Africa(University of the Witwatersrand, Johannesburg, 2023-09) Ditshego, Mashiatshiti Johanna; Dube, NkosiyaziSouth Africa’s mining industry has historically been at the heart of the nation’s economy also taking into consideration the country’s high-ranking spot as one of the leading naturally rich resource countries within the world. In reality, the mining industry has played a key part in contributing to the country’s economic growth, and it remains South Africa’s most watched financial segment. However, the mining industry has experienced a major turmoil, since it also brings along socially unintended circumstances within the communities that they operate in, for example an increase of informal settlement, spontaneous mine closures, and the perpetuation of fights inside traditional houses. As much as there are several studies done within the South African mining sector, studies looking into the experiences and perceived effects of mining activities in communities where these mining companies operate are very limited within the South African literature in Occupational Social Work. Therefore, this qualitative study sought to close this gap, as it aims to explore the experiences of Thabazimbi Resident Mine Employees Regarding the Perceived Effects of Mining Activities within their Community. The study was qualitative in nature, with a case study used as the research design. The target population was mine employees residing in Thabazimbi. Purposive sampling was used to recruit (10) mine employees and (2) key informants in the community to be participants for the study, with a semi-structured interview guide employed as a research instrument. Data for the study was collected using face-to-face individual interviews. Thematic analysis was used to analyse the findings. Findings indicate that mining activities had both positive and negative experiences for the resident employees. Thabazimbi resident employees suggested some recommendations that can be implemented to mitigate the negative effects that they raised in the findings. Recommendations are made in relation future research.Item Assessment of alternative funding models for the rehabilitation of derelict & ownerless mines in South Africa(University of the Witwatersrand, Johannesburg, 2021) Ndlovu, Flacco; Wotela, Kambidima; Julia, MdzikwaLimited funding hampers the pace of derelict mine rehabilitation in South Africa. This leads to their perpetual existence and continued negative impacts on surrounding communities. This research aimed to investigate alternative funding models, assess their utility and potential replication from the perspective of industry stakeholders. A cross- sectional study using both closed and open-ended questionnaires; was conducted. The study found preferred funding models to be government-issued bonds, impact bonds, green bonds, sovereign bonds, and sustainability linked bonds. Research findings were thus used to provide recommendations of alternative funding models that can be considered in derelict mine rehabilitation projects in South AfricaItem Effects of cognitive biases and heuristics on mining equipment selection on platinum mines in Rustenburg, South Africa(University of the Witwatersrand, Johannesburg, 2023) Ramaphakela, Thabo; Stacey, AnthonyThe purpose of this study is to investigate the effects of cognitive bias and heuristics on mining equipment selection, on platinum mines in Rustenburg South Africa. Shaft Engineers, Procurement Manger and Engineering Managers from Rustenburg platinum mines were the participants in the study. A total number of eight interviews were conducted on five mines around Rustenburg. The exploratory design and qualitative approach were used in the study. Interpretive phenomenological and semi-structured interviews approach were used. Open ended question were asked, these kinds of questions allowed the participants to engage and participate effectively. The information was analysed using a thematic approach. Heuristics and bias across life span of a decision maker, have influence in the decision-making ability of the decision maker. Engineering Managers and Shaft Engineers are not immune from cognitive bias, heuristics, and their effects during mining equipment selection. Managers must be rational when selecting mining equipment, but the research indicate that under limited time and lack of information, managers turn to cognitive biasness and heuristics (“Mind shot cut”) during decision making. The study shows that the participants with more experience used fewer heuristics than those with less, especially when the stakes were high. These support that the decision maker who have high cognitive level (Knowledge) use their intuitive “gutfeel” to take a calculated risk. The "bounded rationality" of decision-makers has been acknowledged by decision theories, as having cognitive constraints. People tend to attribute meaning to changes based on their own set of beliefs, perspectives, and conceptionsItem Cultural factors hindering mining technology adoption in South Africa(University of the Witwatersrand, Johannesburg, 2022) Mokgatla, Tshidiso; Wotela, KambidimaThe performance of South Africa’s mining industry shows a downward trend, with traditional mining practices not suitable to produce minerals economically. The current conditions require technological innovations to safely mine the ore reserves efficiently and cost-effectively. This quantitative cross-sectional study explored possible cultural factors to determine whether they can explain the variance in the behavioural intentions of users to adopt technology in the context of South Africa’s mining industry and to assist the adopters of technology to increase the rate of adoption. The study explored the research hypotheses to determine whether the additional variables can further explain the variance in the behavioural intentions to adopt technological innovations. A random sampling technique was utilised for the study; research respondents consisted of both males and females working across organisational structures in the South African mining industry. The data were analysed using SPSS and applied descriptive statistics to test a proposed model for accepting technology in the South African mining industry. The study provides recommendations and the results of the study add to the body of knowledge in the field of technology acceptance.Item Enterprise and supplier development as a sustainability construct in mining communities(University of the Witwatersrand, Johannesburg, 2023) Mashego, Lesego; Totowa, JackquesSustainability is an integral part of mining in South Africa as the sector grapples with criticism that enough is not being done to support development of mining communities. Enterprise and supplier development (ESD) is one of the ways in which the mining sector contributes to development of businesses operating in the host communities as well as those supplying the operations. These activities are intended to promote entrepreneurship and enable these enterprises to create jobs through provision of support, training, mentorship and funding. This paper investigated whether mining companies’ ESD programmes and the way they are implemented contribute to sustainable enterprises and suppliers in South African mining communities. This was done by analysing content of several reports of mining companies to establish the intention of these companies with respect to establishment of these programmes and the outcomes they are achieving. This was then followed by interviews with beneficiaries of this programmes to gauge whether there is alignment between the companies and the beneficiaries in terms of what constitutes sustainability as well as to determine whether the beneficiaries find value in these activities. With the research questions aimed at accessing thoughts, feelings, experiences and opinions of research participants, the research methodology employed was qualitative. These were then analysed, common themes established and interpretations made around these themes were discussed. A notable finding is that while there is an agreement in terms of what constitutes sustainability, there is a challenge in terms of access to markets – i.e. the exposure and possible exploitation of available supply chain opportunities by these enterprises to enable them to growItem The impact of employee engagement on performance in the South African gold mining industry(University of the Witwatersrand, Johannesburg, 2022) Rusere, Jeremy; Larbi, LeeThe purpose of the study was to evaluate factors that influence employee engagement at five gold mining companies in South Africa as well as to determine the effect of employee engagement on employee performance. Additionally, the research aimed to recommend strategies that promote employee engagement at the concerned companies. The research followed a quantitative approach, whereby data collection was by means of a questionnaire distributed online to 600 participants out of which 329 participants provided valid responses. Standard multiple linear regression was applied to the data set to determine the cause-and-effect relationships between eight predictors (compensation, work from home, work environment, organisational policies, training and career development, team and co-worker relationship, employee wellbeing and leadership) and employee engagement. Similarly, the research applied multiple regression analysis to establish the influence of employee engagement on employee performance. The research found that compensation as well as work from home were statistically significant and positively predicted employee engagement. Based on these findings, this empirical work recommended executives of the five gold mining companies to review compensation of the workforce with a view to drive employee engagement in this economically crucial industryItem The perception of the impact of the Fourth Industrial Revolution on the production in South African mines(University of the Witwatersrand, Johannesburg, 2022) Ledwaba, SolomonThe aim of the study was to explore the perception of Fourth Industrial Revolution(4IR) strategies and practices in relation to production process performance in the mining industries at selected mines in South Africa. The study followed a quantitative research methodology, and a sample of 110 employees at the selected mines in South Africa, consisting of 60 mine workers, 10 information technology employees, 10 middle managers, 10 operations managers, 10 health and safety personnel, and 10 executive officers were drawn using a simple random sampling approach. Primary data was collected using a questionnaire with a 5-point Likert Scale. Data were analysed using the SPSS version 4.1. Findings from the study reveal that employee level of awareness of the concept of 4IR and associated technologies had a significant impact on how employees perceived the current 4IR strategies. Though findings show that a high percentage of employees were involved in the 4IR strategy development process, most believe that the current 4IR strategies and practices did not fully represent the interests of all stakeholders. While some were of the perception that the strategies and practices were designed to improve productivity and reduce employment costs, others believe that it puts workers’ jobs at risk, as mines had started replacing humans with 4IR technologies such as robots and drones. However, findings reveal that the adoption of the 4IR technologies according to the perception of employees, has improved health and safety within the mines