Vincent Renaud, Marwan Al Heib, Roxane Muller, Lukaš Žižka
Long-Term Slope Stability Modelling and Risk Assessment of Lake Most – Preliminary Results
Číslo: 3/2022
Periodikum: Zpravodaj Hnědé uhlí
Klíčová slova: zatopený lom - stabilita svahu - posuzování rizik - LiDA R - numerické modelování
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Anotace:
The Lake Most is located in the central part of the Most Basin (Czech Rep.), which is a geomorphological
part of Eger graben. The lake was created by flooding of Most-Ležáky residual pit between October 2008
and September 2014. Like in rest of Europe, the safety and the security of mine lakes is one of the priorities
of flooding and post-flooding period. One of the main hazards identified is the slope stability of lake banks.
To develop a reliability methodology for assessing the long-term stability of flooded open pit mines, a largescale
numerical model of the lake was carried out and was applied on Lake Most. The large-scale numerical
model was built, based on the site observations, large scale LiDA R data and geotechnical data. The results
highlighted the reliability of the methodology to combine the geometric model with the geological model
to create a large-scale numerical model, and to identify local and potentially instable zones.
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part of Eger graben. The lake was created by flooding of Most-Ležáky residual pit between October 2008
and September 2014. Like in rest of Europe, the safety and the security of mine lakes is one of the priorities
of flooding and post-flooding period. One of the main hazards identified is the slope stability of lake banks.
To develop a reliability methodology for assessing the long-term stability of flooded open pit mines, a largescale
numerical model of the lake was carried out and was applied on Lake Most. The large-scale numerical
model was built, based on the site observations, large scale LiDA R data and geotechnical data. The results
highlighted the reliability of the methodology to combine the geometric model with the geological model
to create a large-scale numerical model, and to identify local and potentially instable zones.