Conference Agenda

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, 11:15:05am BST

 
 
Session Overview
Session
Cultural & Benefits Enhancement
Time:
Tuesday, 13/July/2021:
9:50am - 12:20pm

Session Chair: Louise Siddorn
Location: Meeting Room 1

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Presentations
9:50am - 10:15am
ID: 414 / S_3_1: 1
Full Paper - Oral Presentation
Keywords: Tailings Storage Facility, Dam Breach, Failure Impact Assessment, Failure Volume Estimation

Tailings dam failure: Estimation of Outflow Volume

Amir Keshtgar

GHD, Australia

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.

Bibliography
1.DESIGN OF DRIP IRRIGATION SYSTEM USING MICROTUBES FOR FULL EMISSION UNIFORMITY. Journal of Irrigation and drainage, 2013


10:15am - 10:40am
ID: 379 / S_3_1: 2
Full Paper - Oral Presentation
Topic: 10 Cultural & Community Perspectives on Management of Mine Water & Post Mining Landscapes
Way of Presentation: Live
Keywords: Cultural aspects, Mine Water, ASAL, Water Supply Chain Management

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.

Bibliography
Wakulele, S. R., Odock, S., Chepkulei, B., & Kiswili, N. E. (2016). Effect of Eco-design Practices on the Performance of Manufacturing Firms in Mombasa County, Kenya.
Kiswili, N. E.,& Noor, I. S., (2016) Role of sustainable procurement practices on supply chain performance of manufacturing sector in Kenya: A case of East African Portland Cement Company, European Journal of Logistics, Purchasing and Supply Chain Management Vol. 4, No.3, pp.1-31, June 2016


10:40am - 11:05am
ID: 544 / S_3_1: 3
Full Paper - Oral Presentation
Topic: 10 Cultural & Community Perspectives on Management of Mine Water & Post Mining Landscapes, 11 Decarbonisation, Sustainability, Circular Economy in Mine Water Treatment (inc. Mine Water Enthalpy & Device Development), Mine Wastes, Sludges (inc. Valorisation & Harvesting), Mine Sites
Way of Presentation: Live
Keywords: Mine Water, Sustainability, Youth Participation and Inclusivity

πŸŽ“ 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.

Bibliography
Nyile, Erastus Kiswili; Kirwah, Joash Kibet (2020): Cultural Aspects Constraining Mine Water Supply Chain Management in ASAL Areas of Kitui County, Kenya. – In: Pope, J.; Wolkersdorfer, Ch.; Sartz, L.; Weber, A.; Wolkersdorfer, K.: Mine Water Solutions. – p. 237 – 242; Christchurch, New Zealand (International Mine Water Association).
Kiswili, N. E.,& Noor, I. S., (2016) Role of sustainable procurement practices on supply chain performance of manufacturing sector in Kenya: A case of East African Portland Cement Company, European Journal of Logistics, Purchasing and Supply Chain Management Vol. 4, No.3, pp.1-31, June 2016
Wakulele, S. R., Odock, S., Chepkulei, B., & Kiswili, N. E. (2016). Effect of Eco-design Practices on the Performance of Manufacturing Firms in Mombasa County, Kenya.


11:05am - 11:30am
ID: 592 / S_3_1: 4
Full Paper - Oral Presentation
Topic: 13 Benefits Enhancement in Mine Water Management
Keywords: integrated water management, water supply, environmental containment, underground mining, open cut mining

Developing Integrated Water Management Models To Address Water Related Risks And Provide Resilience In The Mining Industry

Scott Gregory Anderson, Tyler Tinkler

GHD, Australia

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.

Bibliography
None


11:30am - 11:55am
ID: 651 / S_3_1: 5
Full Paper - Oral Presentation
Topic: 3 Waste Rock &/or Tailings Storage, 10 Cultural & Community Perspectives on Management of Mine Water & Post Mining Landscapes, 13 Benefits Enhancement in Mine Water Management
Keywords: Mine Water, Over burden, Mine Waste, Artisanal Miners, Communities, Sustainable Mining

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

Abstract

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.

Bibliography
Adoption of Mine Water Treatment to Improve the Social-Economic Status of Artisanal Miners – Case of Mkuki and Kamtonga, Kenya


11:55am - 12:20pm
ID: 642 / S_3_1: 6
Full Paper - Oral Presentation
Topic: 5 Mine Water Treatment Systems, 13 Benefits Enhancement in Mine Water Management
Way of Presentation: Pre-Recorded
Keywords: Artificial Intelligence, Machine Learning, Supervised Learning, Artificial Neural Networks, Random Forest

πŸŽ“ 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.

Bibliography
n.a.


 
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