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Advanced monitoring of tailings dam performance using seismic noise and stress models

Earth Sciences

Advanced monitoring of tailings dam performance using seismic noise and stress models

S. M. Ouellet, J. Dettmer, et al.

Discover groundbreaking advancements in dam monitoring with ambient noise interferometry (ANI). This research, conducted by Susanne M. Ouellet, Jan Dettmer, Gerrit Olivier, Tjaart DeWit, and Matthew Lato, showcases how seismic velocity changes correlate with water levels, providing vital insights into dam performance over time.

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Playback language: English
Abstract
Recent tailings dam failures highlight critical gaps in current monitoring methods. This study demonstrates how ambient noise interferometry (ANI) can monitor dam performance using a geophone array. Seismic velocity changes of less than 1% correlate strongly with water level changes. A power-law relationship between effective stress and shear wave velocity is implemented to model velocity changes, showing good agreement with seismic data. This method offers significant advancements in understanding dam performance changes over time.
Publisher
Communications Earth & Environment
Published On
Nov 30, 2022
Authors
Susanne M. Ouellet, Jan Dettmer, Gerrit Olivier, Tjaart DeWit, Matthew Lato
Tags
tailings dam failures
monitoring methods
ambient noise interferometry
seismic velocity
effective stress
shear wave velocity
dam performance

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