Using InSAR to Predict Tailings Dam Failures
Cadia Valley, New South Wales, Australia
Highlights
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The Cadia Valley Northern Tailings Storage Facility (NTSF) forms part of a gold and copper mining processing complex. A section of the tailings am collapsed on 9th March 2018, releasing some tailings into the adjacent southern TSF.​
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Fortunately, the spill was contained and there were no casualties. We investigated how early the collapse could have been predicted had the dam been monitored regularly using satellite SAR data.
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With sufficient warning time, the collapse may have been avoidable with proactive remedial measures.
The Cadia Valley Northern Tailings Storage Facility (NTSF) is part of a gold and copper mining complex. On 9th March 2018, a section of the tailings dam collapsed, causing a release of tailings into the adjacent Southern TSF. Fortunately, the spill was contained, and no casualties occurred. However, the incident raised questions about whether the collapse could have been predicted and prevented through regular satellite-based monitoring.
The Challenge: Could the Collapse Have Been Prevented?
Geofem investigated whether regular satellite Synthetic Aperture Radar (SAR) monitoring could have provided early warning signs of the collapse. In this case, proactive measures might have been taken to avoid the disaster. The study focused on using Interferometric SAR (InSAR) data to detect ground movement over time and determine if the collapse could have been predicted.