|Instrumentation & monitoring
Example of Esri Survey123 tailings facility inception application
dashboards, where it is displayed alongside historical trends and predefined thresholds. This enables engineers to identify areas of elevated pore pressure in relation to their location within the dam. Slope stability monitoring is another important application. Data from survey measurements, satellite-based InSAR, drone surveys, and inclinometer readings can be integrated to visualise deformation patterns. By presenting displacement data spatially, ArcGIS supports the identification of localised movement that may require further investigation. The platform is also used for environmental management. Operators can monitor vegetation growth, track reclamation progress using remote sensing data, and manage inspection programmes. Field inspectors can capture georeferenced observations and photographs using mobile applications, with this information feeding directly into centralised databases and reporting tools.
Interpreting data in context A consistent outcome of ArcGIS implementation is
improved understanding of monitoring data through the addition of spatial context. Traditional approaches, which rely on spreadsheets and reports, present data as individual values without clearly indicating where those values occur. By contrast, ArcGIS places each data point within its geographic location. Engineers can view monitoring data in relation to specific areas of the dam, construction features, and surrounding environments. This allows for more intuitive interpretation and supports faster identification of potential issues. The ability to visualise data spatially also helps reveal
patterns and correlations that may not be evident in non- spatial formats. This supports a more proactive approach to monitoring and risk management.
Advantages over conventional
approaches ArcGIS offers several advantages compared to traditional data management systems. One of the most significant is improved safety. By integrating monitoring data into real-time dashboards with automated alerts, the platform reduces the time between data collection and decision- making. This supports earlier identification of potential issues such as rising pore pressures or deformation.
The platform also improves efficiency. Mobile data collection reduces manual data entry, while automated workflows streamline reporting processes. Consolidating multiple datasets into a single system reduces duplication and helps ensure consistency. In addition, ArcGIS supports regulatory compliance by providing a structured and auditable record of monitoring and inspection activities. Reports can be generated directly from the system, improving both efficiency and transparency. Another important benefit is the preservation of institutional knowledge. Tailings facilities operate over long timeframes, and GIS provides a central repository for historical and current data. This ensures that information is retained and accessible over the life of the facility.
Transparency and real-time
monitoring Two areas where GIS is playing an increasingly important role are transparency and real-time monitoring. ArcGIS enables operators to share selected data with stakeholders through web-based applications and dashboards. This can include monitoring results, inspection records, and environmental data presented in an accessible format. Such transparency can support communication with regulators and communities. Real-time monitoring is another key capability. Sensor data can be streamed directly into spatial dashboards, with alerts triggered when thresholds are exceeded. This enables continuous monitoring of facility conditions and supports timely response to changing conditions. This approach represents a shift from periodic inspection towards continuous situational awareness, which is particularly important in the context of dam safety.
A spatial approach to dam
management The use of GIS in tailings management highlights the importance of understanding not just what is happening, but where it is happening. By integrating diverse datasets within a spatial framework, ArcGIS supports a more comprehensive approach to monitoring and decision- making. As tailings management continues to evolve, the ability to visualise and analyse data in its geographic context is likely to become increasingly important. GIS platforms such as ArcGIS provide the tools to support this approach across the full lifecycle of tailings facilities.
Author information Rebecca Kahrhoff Industry Solutions Manager – Mining, Esri
www.esri.com
www.waterpowermagazine.com | May2026 | 35
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