Smart Monitoring of Tailings Dams Reduces Environmental Footprint by 24%

Why It Matters

This research demonstrates that integrating IoT and automated analysis into the monitoring of critical infrastructure like tailings dams offers tangible environmental benefits. It moves beyond traditional, resource-intensive methods to a more efficient and sustainable approach, aligning with global decarbonization goals.

Key Finding

Smart monitoring systems for tailings dams lead to a substantial reduction in the overall environmental footprint, including a 24% decrease in CO2 emissions and significant reductions in ecotoxicity and human toxicity, primarily by reducing the need for physical site visits.

Key Findings

• Monitoring impact alone was reduced by 40% due to fewer physical monitoring visits.
• The overall environmental improvement of the TSF lifecycle was 24% for CO2-eq.
• Significant reductions were observed in freshwater ecotoxicity (27%) and human toxicity (cancer) (20%).

Research Evidence

Aim: To assess the environmental sustainability of smart monitoring solutions for Tailings Storage Facilities (TSFs) using Life Cycle Assessment (LCA) and Environmental Risk Assessment (ERA).

Method: Life Cycle Assessment (LCA) combined with Environmental Risk Assessment (ERA).

Procedure: A cradle-to-grave LCA was conducted using the ReCiPe 2016 (v1.1 Midpoint (H)) method, incorporating real industrial data for a TSF in Europe. The study quantified risk reduction potential and environmental improvements.

Context: Mining industry, specifically Tailings Storage Facilities (TSFs).

Design Principle

Lifecycle environmental impact assessment should be a core consideration in the design of monitoring and management systems for industrial infrastructure.

How to Apply

When designing or specifying monitoring systems for large-scale industrial sites, conduct a comprehensive LCA to quantify potential environmental benefits and risks compared to traditional methods.

Limitations

The study's findings are based on a specific use case scenario and may vary depending on the specific TSF characteristics, geographical location, and the exact technologies employed.

Student Guide (IB Design Technology)

Simple Explanation: Using smart technology to watch over mining waste dams can make them much better for the environment, cutting down pollution and saving resources.

Why This Matters: This shows how design choices in technology can have a big impact on the environment, especially in industries like mining which have significant environmental footprints.

Critical Thinking: To what extent can the principles of smart monitoring and LCA be applied to other complex industrial or infrastructure projects to improve their environmental performance?

IA-Ready Paragraph: The implementation of smart monitoring systems, as demonstrated in the assessment of Tailings Storage Facilities, offers a significant pathway to reducing the environmental footprint of industrial operations. By integrating technologies like IoT and automated analysis, a substantial reduction in CO2-eq. emissions (24%) and other harmful impacts such as ecotoxicity and human toxicity was achieved, primarily through a 40% decrease in physical monitoring visits. This highlights the potential for digital solutions to drive sustainability and align with global environmental goals.

Project Tips

• When researching a product, consider its entire lifecycle from creation to disposal.
• Quantify the environmental benefits of your design choices using metrics like CO2 emissions or waste reduction.

How to Use in IA

• Use the concept of lifecycle assessment to evaluate the environmental impact of different design options for your project.
• Quantify the environmental benefits of your chosen design using relevant metrics.

Examiner Tips

• Demonstrate an understanding of the full lifecycle impact of your design, not just its immediate functionality.
• Consider how digital integration can lead to sustainability improvements.

Independent Variable: Implementation of smart monitoring system.

Dependent Variable: Environmental impact metrics (e.g., CO2-eq., ecotoxicity, human toxicity).

Controlled Variables: TSF characteristics, geographical location, specific monitoring technologies used.

Strengths

• Comprehensive methodology combining LCA and ERA.
• Use of real industrial data for a relevant use case.

Critical Questions

• What are the initial investment costs associated with implementing such smart monitoring systems, and how do they compare to the long-term environmental and operational savings?
• How can the data generated by these smart monitoring systems be effectively translated into actionable insights for risk management and decision-making beyond environmental assessment?

Extended Essay Application

• Investigate the potential for smart monitoring systems to improve the sustainability of other critical infrastructure, such as bridges, pipelines, or renewable energy installations.
• Conduct a comparative LCA of traditional versus smart monitoring approaches for a chosen infrastructure type.

Source

Tailings Storage Facilities Smart Monitoring: Environmental and Risk Assessment Towards Digitalisation · Eng · 2026 · 10.3390/eng7030109