Erratum to: “Pit lakes of the Central German lignite mining district: Creation, morphometry and water quality aspects” [Limnologica 40 (2) (2010) 148–155]

Schultze, Martin; Pokrandt, Karl-Heinz; Hille, Wolfram

doi:10.1016/j.limno.2010.07.001

Limnologica

2011

DOI: 10.1016/j.limno.2010.07.001

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Erratum to: “Pit lakes of the Central German lignite mining district: Creation, morphometry and water quality aspects” [Limnologica 40 (2) (2010) 148–155]

Martin Schultze

Karl-Heinz Pokrandt²,

Wolfram Hille³

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Evaluation of Process Oriented Water Quality Predictions for Pit Lakes

Hildebrandt¹,

Ulrich²,

Horn³

et al. 2020

Mine Water Environ

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Reliable prediction of water quality is essential to meet the official targets set for effluent composition and usage of pit lakes, and to identify the appropriate remediation technology. For this purpose, a complex conceptual model was established and tested on two pit lakes in central Germany with highly different acid loads. To assess the reliability of the predictions, we compared monitoring data from the past 8–10 years with previous water quality predictions. In the case of Lake Schladitz, with low acid load and sufficient buffering capacity, a simple setup with few model elements appeared adequate, and no readjustment of model settings was necessary. For six (pseudo-) conservative ions, the total average deviation between measured and predicted values was − 9%, as opposed to − 2.7% during calibration. For the repeatedly conditioned Lake Bockwitz, a model parameterized with more elements and specific process parameters determined from field and laboratory investigations proved adequate for calculating the technical alkalinity demand. During calibration, the total average deviation between measured and modelled conservative ions was +0.2%; it reached +4.5% during the prediction evaluation period. With continued reacidification of the lake, the predicted concentrations of dissolved Fe and Al increasingly deviated from lake measurements. Deviations diminished after the solubility constants of schwertmannite and hydrobasaluminite were included in the thermodynamic database. The developed conceptual workflow offers a tool to improve water quality predictions for other lake settings.

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Evaluation of Process Oriented Water Quality Predictions for Pit Lakes

Hildebrandt¹,

Ulrich²,

Horn³

et al. 2020

Mine Water Environ

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Post-mining landscapes and their endogenous development potential for small- and medium-sized towns: Examples from Central Europe

Marot

Harfst

2021

The Extractive Industries and Society

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Engineered river flow-through to improve mine pit lake and river values

McCullough¹,

Schultze

2018

Science of The Total Environment

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Erratum to: “Pit lakes of the Central German lignite mining district: Creation, morphometry and water quality aspects” [Limnologica 40 (2) (2010) 148–155]

Cited by 4 publications

References 0 publications

Evaluation of Process Oriented Water Quality Predictions for Pit Lakes

Evaluation of Process Oriented Water Quality Predictions for Pit Lakes

Post-mining landscapes and their endogenous development potential for small- and medium-sized towns: Examples from Central Europe

Engineered river flow-through to improve mine pit lake and river values

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