This website uses cookies to enhance browsing experience. Read below to see what cookies we recommend using and choose which to allow.
By clicking Accept All, you'll allow use of all our cookies in terms of our Privacy Notice.
Essential Cookies
Analytics Cookies
Marketing Cookies
Essential Cookies
Analytics Cookies
Marketing Cookies
Presented at the 94th ICOLD Annual Meeting in Guadalajara, this study applies a hierarchical Bayesian approach to derive benchmark annual failure rates by construction method and operational status, highlighting differences across upstream, downstream, single-raise, and dry-stack tailings storage facilities (TSF).
These benchmarks provide an updateable, data-driven foundation for TSF risk management, offering practical failure-rate inputs for screening-level and semi-quantitative assessments and a pathway to Bayesian network models that translate portfolio statistics into site-specific risk estimates.
Highlighting local skills development in West Africa drives sustainable mining, strengthens resilience, and supports inclusion.
Learn MoreThis paper explores the application of a cost-effective and efficient measuring method, using commercially available apparatus designed for soil respirometry, to predict Oxygen Consumption Rates (OCR) in mining waste facilities.
Learn More