Investigations on the impact of iron hydroxide residues from the mine water treatment on substance conversion processes in acidification-sensitive dump substrates [Untersuchungen zur wirkung von eisenhydroxidrückständen aus der grubenwasserbehandlung auf stoffumsetzungsprozesse in versauerungsempfindlichen kippensubstraten]
Ulrich K.-U.,BGD Boden und Grundwasserlabor GmbH Dresden |
Nitsche C.,BGD Boden und Grundwasserlabor GmbH Dresden |
Struzina M.,MIBRAG mbH |
Jolas P.,MIBRAG mbH
FOG - Freiberg Online Geoscience | Year: 2015
Can iron hydroxide residues (EHR) from treated mine waters safely be embedded in excavated tertiary sands that liberate acidity due to sulfide oxidation? By a series of reactor experiments we tested the hypothesis that the intrinsic alkalinity in EHR can both buffer the acidity and thereby thwart its reductive dissolution. Simulated scenarios of groundwater recharge and groundwater ascent showed that in the presence of EHR the output of weathering products (protons, sulfate, Fe2+, heavy metal ions) was lower than in EHR-free control reactors. The best results were achieved when mixing EHR with the tertiary materials. The overall results neither indicate chemical dissolution of EHR nor favorite conditions for microbial iron reduction. © 2015, Technical University Freiberg. All rights reserved.
Efficient planning and modelling for modern dewatering concepts in unconsolidated rock under geological uncertainty [Effektive planung und Modellierung von modernen Entwässerungskonzepten im Lockergestein unter Berücksichtlgung geologischer Unsicherheit]
Struzina M.,MIBRAG MbH |
Benndorf J.,MIBRAG MbH
World of Mining - Surface and Underground | Year: 2011
This paper focuses on investigating the influence of geological uncertainty to modern mining related dewatering measures, namely horizontal directional dewatering (HDD) wells. The traditional approach of drilling, planning, and groundwater modelling is extended by the dimension of geological uncertainty using the technique of conditional simulation in geostatistics. Results of a case study demonstrate the benefit of using such methods, as they allow the evaluation of the exploration level in order to obtain sufficient knowledge about aquifer geometry to optimally place the filter section. Furthermore, results offer a way to quantify uncertainty in predicting filter-well output and can be used for a best model fit.