Advanced tailings management technologies: enhancing stability and reducing environmental risk in modern mining operations

 Corresponding author: Joshua Whajah Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0. Advanced tailings management technologies: Enhancing stability and reducing environmental risk in modern mining operations Joshua Whajah 1, *, Gilbert Etiako Djanetey 1, Baah Bossman Effah 1, Jossiah Whajah 2 and Godwin Etor Kpedzroku 1 1 Department of Mining Engineering and Management, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA. 2 B.M.G Infrastructure Limited, Tarkwa, Ghana. World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 Publication history: Received 18 October 2025; revised on 24 November 2025; accepted on 26 November 2025 Article DOI: https://doi.org/10.30574/wjarr.2025.28.2.3975 Abstract This research explores advancements in tailings management technologies, focusing on reducing environmental risks and enhancing operational stability in modern mining operations. The study evaluates techniques such as dry stacking, geotechnical stability enhancements, real-time monitoring systems, and water reclamation methods. Innovative approaches including bioremediation and nano-filtration are analyzed for their potential to address contamination and resource recovery. The research highlights the economic and regulatory challenges of implementing these technologies while emphasizing their necessity for sustainable mining practices. Through case studies and technical reviews, the study showcases the effectiveness of these methods, offering insights into the industry's transition toward safer and environmentally responsible operations. Keywords: Tailings Management; Geotechnical Stability; Real-Time Monitoring; Environmental Remediation; Sustainable Mining; TSF Monitoring 1. Introduction 1.1. Overview of Tailings Management in Mining In the mining industry, tailings are the waste materials left after valuable minerals or metals have been extracted from the ore. These byproducts are typically stored in tailings storage facilities (TSFs), dams, ponds, or other containment structures. The management of these facilities is one of the most critical and challenging aspects of mining due to the significant risks they pose. Improperly managed TSFs can lead to catastrophic consequences, including dam failures and widespread water contamination. Historical events, such as the 2015 Fundão Dam disaster in Brazil, which released millions of cubic meters of tailings into the environment, underscore the devastating potential of such failures [1]. Traditional TSFs often involve large dams and water-filled containment systems, which can suffer from instability, seepage, and inadequate maintenance. The risk factors associated with these conventional systems include seismic activity, extreme weather conditions, and poor operational practices, all of which increase the likelihood of structural failures [3]. In addition, tailings often contain hazardous chemicals like cyanide and heavy metals, posing a severe threat to surrounding ecosystems and communities [2]. 1.2. Importance of Advanced Tailings Management As societal and regulatory scrutiny increases, the mining industry faces growing pressure to adopt more sustainable and safer tailings management practices. Governments and international organizations have introduced stringent World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2389 environmental regulations to ensure mining operations' safety and environmental compliance. For instance, the Global Industry Standard on Tailings Management (GISTM) established guidelines to prioritize protecting people and the environment [4]. Beyond regulatory compliance, advanced tailings management techniques have become essential for the industry's long-term viability. Stakeholders, including investors, communities, and environmental groups, demand greater accountability and transparency from mining companies. Innovative approaches, such as dry stacking, thickened tailings, and real-time monitoring systems, provide safer alternatives to traditional methods, addressing environmental and operational challenges [5]. Recent advances in safety monitoring and hazard detection technologies, including the integration of Artificial Intelligence and Internet of Things systems, have significantly enhanced the ability of mining operations to prevent accidents and protect workers [6]. This research focuses on the latest technological advancements in tailings management. It aims to analyze their effectiveness in reducing risks, enhancing stability, and mitigating the environmental impact of tailings. By exploring these solutions, the research seeks to contribute to the ongoing efforts to ensure the sustainability of modern mining operations. 2. Stability and Risk Mitigation Strategies 2.1. Geotechnical Stability Enhancement The geotechnical stability of tailings storage facilities (TSFs) is critical to ensuring the safe containment of tailings. Modern geotechnical engineering techniques have revolutionized the approach to managing TSFs by focusing on slope optimization, compaction methods, and structural reinforcements [7]. 2.1.1. Slope Optimization Proper slope design minimizes the risk of slope failure by balancing material strength with operational efficiency. Advanced numerical modeling techniques, such as the Finite Element Method (FEM) and Limit Equilibrium Analysis, are employed to determine optimal slope angles under various loading conditions [8]. 2.1.2. Compaction Methods Compaction improves the shear strength of tailings materials, reducing void spaces and increasing stability. Technologies like vibratory rollers and dynamic compaction are often used to densify tailings, mitigating liquefaction risks under seismic or hydrological stress [9]. 2.1.3. Reinforcement Techniques Geosynthetics, such as geotextiles and geomembranes, are increasingly used to reinforce TSFs. These materials provide additional tensile strength and minimize seepage. Case studies in Peru have demonstrated that including geosynthetic layers in tailings dams significantly enhances their resilience to deformation and seepage. Table 1 Summary of standard geotechnical techniques and their impact on TSF stability Technique Function Benefits Slope Optimization Adjusts slope angles to minimize failure risk Improved safety margin and material utilization Compaction Methods Reduces void ratio in tailings Higher stability, lower liquefaction potential Geosynthetics Provide tensile reinforcement and seepage control Increased durability and seepage mitigation 2.2. Risk Assessment and Failure Prevention Predictive modeling and simulation tools have become indispensable in evaluating the stability of TSFs and preventing potential failures. These tools enable real-time monitoring and proactive decision-making [11]. World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2390 2.2.1. Predictive Modeling Tools like FLAC3D and GeoStudio allow engineers to model stress distribution and deformation in TSFs. To assess failure probabilities, these models simulate various scenarios, including seismic loading, heavy rainfall, and operational overburden [8]. 2.2.2. Simulation-Based Decision Support Simulations help visualize how TSFs respond to external stresses over time, aiding in preventive interventions. For example, integrating weather forecasts with hydrological models provides insights into potential dam overtopping during extreme weather events [12]. Figure 1 Example of FLAC3D stress analysis in a tailings dam (source: Cheng et al., 2021) 2.3. Seismic and Hydrological Considerations Tailings storage facilities in seismically active or hydrologically dynamic regions face additional challenges. Proper design and management must account for these factors to mitigate risks effectively [13]. 2.3.1. Seismic Stability TSFs in earthquake-prone regions require robust designs capable of withstanding seismic loads. Techniques such as pseudo-static analysis and dynamic time-history analysis are used to assess dam behavior during earthquakes. Research has shown that incorporating flexible liners and designing with more significant safety factors significantly reduces seismic risks [13]. 2.3.2. Hydrological Impact Rainfall and water infiltration are major contributors to TSF failures, often leading to elevated pore water pressures and reduced shear strength. Advanced drainage systems, including horizontal and toe drains, help manage water levels within TSFs. Case studies from tropical climates highlight the effectiveness of these drainage systems in mitigating rainfall-induced failures [14]. Table 2 Comparison of Seismic and Hydrological Considerations in TSF Design Parameter Seismic Regions Hydrological Regions Design Technique Dynamic analysis, reinforced barriers Advanced drainage, erosion control Major Risks Liquefaction, structural collapse Overtopping, seepage Mitigation Strategy Flexible liners, increased factor of safety Toe drains, impermeable liners World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2391 3. Monitoring and Control Systems 3.1. Real-Time Monitoring Technologies Real-time monitoring involves the deployment of advanced sensors, drones, and satellite imaging systems to assess the structural integrity of TSFs continuously. These technologies enable early detection of anomalies, such as seepage, settlement, and instability [5]. 3.1.1. Sensors Instruments like piezometers and inclinometers are embedded within TSF structures to monitor real-time pore water pressure and deformation. Wireless sensor networks (WSNs) further enhance data collection efficiency and allow remote access to critical information [5]. 3.1.2. Drones Unmanned aerial vehicles (UAVs) equipped with LiDAR or high-resolution cameras capture detailed aerial imagery and 3D models of TSF surfaces. This cost-effective method provides rapid updates, which is particularly useful in assessing large and inaccessible areas [15]. 3.1.3. Satellite Imaging Satellite-based technologies such as Synthetic Aperture Radar (SAR) detect ground displacement and changes in TSF structure over time. These systems effectively provide large-scale, continuous monitoring [16]. Figure 2 Integration of drones, sensors, and satellite imaging for TSF monitoring (source: ICMM 2020) 3.2. Automated Risk Detection Machine learning (ML) and artificial intelligence (AI) are increasingly used to analyze vast datasets from real-time monitoring systems. These technologies help identify patterns indicative of potential failures, allowing for proactive interventions [17]. Autonomous mining technologies have demonstrated significant improvements in safety and productivity in underground mining operations [3], and these advancements are increasingly being adapted for tailings management applications. 3.2.1. Predictive Analytics Algorithms process historical and real-time data to forecast conditions leading to failure. For instance, AI models trained on seepage and deformation patterns can predict dam breaches under varying stress conditions [11]. World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2392 3.2.2. Anomaly Detection Techniques like supervised and unsupervised learning identify deviations from normal behavior in TSFs, triggering alerts for immediate inspection [22]. Automated systems significantly reduce human error and enhance decisionmaking accuracy. Table 3 Comparison of Manual vs. Automated Risk Detection Aspect Manual Monitoring Automated Monitoring Data Processing Speed Slow Fast Risk Identification Reactive Proactive Accuracy Prone to errors Highly precise 3.3. Remote Sensing Applications Remote sensing technologies are widely employed to assess changes in surface topography, moisture content, and material movement within TSFs [18]. 3.3.1. Topographic Analysis LiDAR and radar systems map surface deformations with high precision, aiding in the early identification of structural changes [18]. 3.3.2. Moisture Monitoring Optical and thermal sensors on satellites detect moisture anomalies in tailings, which are key indicators of seepage and water accumulation risks [19]. 3.3.3. Material Movement Time-series data from remote sensing allow for tracking sediment displacement and analyzing erosion trends, contributing to comprehensive risk assessments [26]. Figure 3 Satellite monitoring of surface deformation in a tailings dam (source: Grebby et al. 2021) World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2393 4. Water and Environmental Contamination Control 4.1. Water Reclamation Systems Closed-loop water systems are becoming standard in tailings management to reduce water demand and prevent contamination. These systems recycle water from tailings through filtration and treatment technologies, significantly lowering freshwater withdrawal requirements [20]. 4.1.1. Closed-Loop Systems Water used in mineral processing is treated and reused, reducing environmental discharge. Membrane-based technologies, such as reverse osmosis, remove contaminants, ensuring clean water for reuse [20]. 4.1.2. Filtration Technologies Filter presses and vacuum belt filters extract water from tailings, producing a more stable, dry tailings product. This reduces the likelihood of seepage and contamination [21]. 4.2. Tailings Encapsulation Encapsulation techniques involve sealing tailings with impermeable barriers to prevent the leaching of hazardous substances into surrounding environments [19]. 4.2.1. Geosynthetic Covers Geomembranes or composite liners are applied to tailings to create a physical barrier that reduces oxygen ingress and water infiltration [19]. 4.2.2. Cemented Paste Backfill (CPB) Mixing tailings with cement and placing them back into mined-out voids prevents direct exposure to water, significantly mitigating the risk of leaching [19]. 4.2.3. Vegetative Caps These use soil layers and vegetation to reduce erosion and infiltration, simultaneously stabilizing the surface and improving ecosystem restoration [2]. 4.3. Case Study: Acid Mine Drainage Prevention A notable example of acid mine drainage (AMD) prevention is the Ok Tedi Mine in Papua New Guinea, where tailings encapsulation techniques have effectively controlled AMD [2]. 4.3.1. Solution To limit acid formation, a layered approach was implemented using composite covers and engineered drainage. Limestone was also added to neutralize acidic water. 4.3.2. Outcome Monitoring over a decade has shown a 75% reduction in AMD-related contaminants entering nearby water systems [2]. Table 4 Summary of AMD Prevention Outcomes at Ok Tedi Mine Parameter Before Encapsulation After Encapsulation Sulfate Concentration 800 mg/L 200 mg/L pH Level 3.5 6.8 Heavy Metal Discharge High Negligible World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2394 5. Future Trends and Challenges in Tailings Management 5.1. Emerging Technologies Innovations in tailings management promise significant reductions in environmental impact. Bioremediation and nanofiltration technologies are gaining traction [24]. Additionally, sustainable resource recovery approaches, such as the selective extraction of valuable by-products like silver from porphyry copper deposits, demonstrate the economic importance of advanced processing technologies in minimizing waste while maximizing resource efficiency [25]. 5.1.1. Bioremediation This involves the use of microorganisms to neutralize hazardous elements in tailings, such as heavy metals and sulfides. Certain bacteria, such as Acidithiobacillus ferrooxidans, can metabolize harmful compounds, transforming them into stable, non-toxic forms [3]. Example: Bioremediation trials in South African gold mines reduced arsenic levels by 60% in treated tailings [3]. 5.1.2. Nano-Filtration Nano-porous membranes are being explored for their ability to filter contaminants from tailings seepage water. These membranes target specific ions, such as sulfates and heavy metals, enabling the recycling of high-purity water for industrial use [24]. Advantage: Unlike traditional filtration systems, nano-filtration operates at lower energy levels, making it more sustainable and cost-effective [24]. 5.2. Regulatory and Economic Challenges While emerging technologies offer transformative potential, their adoption is hindered by economic and regulatory constraints [26]. 5.2.1. Economic Implications Advanced tailings management systems, such as dry stacking or bioremediation, involve high initial capital investments and operational costs. For example, transitioning to a dry stack tailings system can increase per-ton processing costs by up to 30% [27]. Smaller mining companies often struggle to allocate the necessary resources for such upgrades. Solution: Governments and international organizations can provide subsidies or tax incentives to offset these costs and encourage wider adoption [18]. 5.2.2. Regulatory Challenges Stricter environmental regulations, such as the Global Industry Standard on Tailings Management (GISTM), require companies to adopt stringent practices, including independent risk assessments and community involvement [17]. While these measures ensure accountability, compliance can be resource-intensive, particularly for operations in developing regions where regulatory frameworks are still evolving [18]. Table 5 Economic and Regulatory Challenges in Tailings Management Aspect Challenge Potential Solution Economic Cost High capital for new technologies Subsidies, shared industry investment Regulatory Complexity Variability in global standards Unified international regulatory bodies Community Involvement High transparency expectations Regular public engagement and reporting World Journal of Advanced Research and Reviews, 2025, 28(02), 2388-2396 2395 6. Conclusion 6.1. Summary of Key Techniques The advancements in tailings management technologies offer robust solutions to the complex challenges the mining industry faces. Key techniques discussed include: 6.1.1. Advanced Tailings Disposal Systems Dry stacking and thickened tailings minimize the reliance on conventional tailings ponds, reducing water usage and the risk of catastrophic failures. 6.1.2. Monitoring and Control Systems Real-time sensors, drones, and satellite imaging have revolutionized monitoring practices, enabling early detection of risks such as seepage and structural instability. 6.1.3. Water and Contamination Control Closed-loop water systems and encapsulation techniques prevent contamination and facilitate sustainable resource utilization. 6.2. Outlook on Future Innovations The future of tailings management lies in the integration of advanced technologies and evolving regulatory frameworks. 6.2.1. 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