The Development and Demonstration of a Semi-Automated Regional Hazard Mapping Tool for Tailings Storage Facility Failures

Sally Innis (), Negar Ghahramani, Nahyan Rana, Scott McDougall, Stephen G. Evans, W. Andy Take and Nadja C. Kunz
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Sally Innis: Norman B. Keevil Institute of Mining Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Negar Ghahramani: Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Nahyan Rana: Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON W2L 3G1, Canada
Scott McDougall: Department of Earth, Ocean and Atmospheric Sciences, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
Stephen G. Evans: Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON W2L 3G1, Canada
W. Andy Take: Department of Civil Engineering, Queen’s University, Kingston, ON K7L 3N6, Canada
Nadja C. Kunz: Norman B. Keevil Institute of Mining Engineering, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada

Resources, 2022, vol. 11, issue 10, 1-20

Abstract: Tailings flows resulting from tailings storage facility (TSF) failures can pose major risks to downstream populations, infrastructure and ecosystems, as evidenced by the 2019 Feijão disaster in Brazil. The development of predictive relationships between tailings flow volume and inundation area is a crucial step in risk assessment by enabling the delineation of hazard zones downstream of a TSF site. This study presents a first-order methodology to investigate downstream areas with the potential of being impacted by tailings flows by recalibrating LAHARZ, a Geographic Information System (GIS)-based computer program originally developed for the inundation area mapping of lahars. The updated model, LAHARZ-T, uses empirical equations to predict inundated valley planimetric and cross-sectional areas as a function of the tailings flow volume. A demonstration of a regional application of the LAHARZ-T model is completed for 46 TSFs across Canada. Although the variability in tailings properties and site characteristics cannot be perfectly incorporated or modelled, the LAHARZ-T model offers an efficient method for high-level, regional scale inundation mapping of several potential TSF failure scenarios.

Keywords: tailings flows; dam breach; mine waste hazards; risk assessment; tailings (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2022
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