Tailing Dam Monitoring – Safety Enhancement Through Data Fusion - SME Annual Meeting 2022

Society for Mining, Metallurgy & Exploration
A. Müterthies T. Rudolph P. Goerke-Mallet J. Kretschmann C. Yang
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
4
File Size:
567 KB
Publication Date:
Mar 2, 2022
Categories:
Mineral & Metallurgical Processing

Abstract

Catastrophic failures of dams and tailing storage facilities (TSF) have triggered the development of integrated ground monitoring concepts for hazard assessment, risk management and public safety. These concepts are based on knowledge and expertise of persons technically responsible for TSF. The aim is to combine this implicit and explicit knowledge with the data of in-situ- and remote sensors. Risk management for TSF must include a comprehensive monitoring program that integrates data from ground based-, air-borneand satellite-based sensors. Researchers at Technical University Georg Agricola (THGA) in Bochum, and EFTAS, Muenster, Germany, are fusing a variety of sensor data to enhance the capability and performance of TSF monitoring to ensure public safety downstream of TSFs. This paper describes the variety of sensors implemented in numerous research projects. It gives an outlook in terms of planned satellite missions with innovative equipment like hyperspectral sensors. The implementation of the data of these sensors in the analysis will increase the understanding of spatio-temporal impacts of mining activities. Future opportunities are explained by a datacube approach.
Citation

APA: A. Müterthies T. Rudolph P. Goerke-Mallet J. Kretschmann C. Yang  (2022)  Tailing Dam Monitoring – Safety Enhancement Through Data Fusion - SME Annual Meeting 2022

MLA: A. Müterthies T. Rudolph P. Goerke-Mallet J. Kretschmann C. Yang Tailing Dam Monitoring – Safety Enhancement Through Data Fusion - SME Annual Meeting 2022. Society for Mining, Metallurgy & Exploration, 2022.

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