Overview and details of the sessions of this Conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 29th June 2022, 10:18:54am BST
Tailings dam failure: Estimation of Outflow Volume
The supernatant water in the pool and the dry density of tailings play important roles in defining the sediment concentration and type of outflow fluid duaring a failre event. It is evident that the tailings breach volume is heavily dependent upon the post failure slope of the tailings. This study proposes a method to consider the geometrical model of the storage area alongside the geotechnical characteristics and hydraulic of the tailings and sediment concentration for each facility in order to estimate the release volume from the tailings dam rather than using a simplified release volume equation.
10:15am - 10:40am
Cultural Aspects Constraining Mine Water Supply Chain Management In Asal Areas Of Kitui County, Kenya
Erastus Kiswili Nyile1,2, Joash Kibet Kirwah2
1Taita Taveta University, Kenya; 2Jomo Kenyatta University of Agriculture and Technology
Kitui County receives low levels of rainfall annually thus considered as Arid and Semi-Arid (ASAL) area. The community has formed many cultural imaginations about water ensuing from scarcity and insufficiency of the commodity in the area. This study sought to establish how community livelihood, beliefs, norms and customs, poverty, rituals and gender involvement constrained mine water supply chain management. The findings showed that there is difficulty in accessing water and the quantity and quality available do not match community domestic needs. Consensus building and factoring in of cultural aspects is key in ensuring success of mining and extraction activities.
10:40am - 11:05am
🎓 Youth Participation and Inclusivity in Mine Water Sustainability in Kitui County, Kenya
Erastus Kiswili Nyile1,2, Joash Kirwah Kibet2
1Taita Taveta University, Kenya; 2Jomo Kenyatta University of Agriculture and Technology, Kenya
Water is a crucial and scarce resource in Kitui County posturing a sense of responsibility amongst the youth in the county to managing the available water resources towards sustainability. Notwithstanding, youths remain marginalized and excluded from participation in mine water sustainability decisions. The findings of this study indicated that youth participation and inclusivity in mine water sustainability was wanting in the county. This research recommends that youth should be on the forefront to spearhead mine water sustainability efforts and be given an opportunity to have their opinions and voices heard, and to take active part in mine water decision-making.
11:05am - 11:30am
Developing Integrated Water Management Models To Address Water Related Risks And Provide Resilience In The Mining Industry
Scott Gregory Anderson, Tyler Tinkler
Integrated Water Management models comprises a spatially lumped representation of the components of a mine water management system and their interactivity including water supply and conveyance infrastructure, hydrological and hydrogeological processes, ore processing, water treatment and waste disposal. The model can be used to assess different operational and/or expansion scenarios and their evolution over a mine’s life to provide probabilistic outputs of impacts to the water system and identify areas where capacity is constrained and optimisation opportunities exist. We examine the potential benefits and limitations through case studies in both underground and open cut operations, throughout the mine life cycle.
11:30am - 11:55am
Utilization Of Mine Waste To Produce Sustainable Housing Materials For Artisanal Miners And The Surrounding Communities -A Case Study Of Mkuki, Taita Taveta County, Kenya
Phillis Mutheu Mbinda
TAITA TAVETA UNIVERSITY, Kenya
Artisanal mining in Kenya contributes 60% of the gemstone mining revenue. In spite of this, the poverty levels among the artisanal miners remain high. Most of the artisanal miners live in shacks. Poor living conditions contribute to poor mental and physical health. This study sought to utilize mine water, mine waste-overburden and rocks to make sustainable housing bricks. Provide solutions to better housing and provide additional sources of income to the artisanal miners and the surrounding communities.
11:55am - 12:20pm
🎓 Application of Artificial Intelligence Systems in Mine Water Management – An Introduction to two Effective Predictive Models
Kagiso Samuel More, Christian Wolkersdorfer
Tshwane University of Technology (TUT), South Africa
This work presents a summary of machine learning techniques that are effective in predicting acid mine drainage (AMD). Machine learning can be divided into different categories such as supervised, unsupervised and reinforcement learning. In this study, a supervised learning method will be explored. In this technique, a model has input variables and an output value, and uses an algorithm to learn the mapping function from the input to the output. Predictive analysis is the key focus in this study. Therefore, regression supervised learning techniques will be investigated, and this includes artificial neural networks (ANN) and random forest.