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Comparison of static and mineralogical ARD prediction methods in the Nordic environment
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering. Industrial Environments and Recycling Unit, Geological Survey of Finland, Kuopio, Finland.ORCID iD: 0000-0001-9034-3880
Industrial Environments and Recycling Unit, Geological Survey of Finland, Kuopio, Finland.
Mineral Processing and Materials Research Unit, Geological Survey of Finland, Espoo, Finland.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Geosciences and Environmental Engineering.ORCID iD: 0000-0001-7291-8505
2018 (English)In: Environmental Monitoring & Assessment, ISSN 0167-6369, E-ISSN 1573-2959, Vol. 190, no 12, article id 719Article in journal (Refereed) Published
Abstract [en]

Acid rock drainage (ARD) is a major problem related to the management of mining wastes, especially concerning deposits containing sulphide minerals. Commonly used tests for ARD prediction include acid–base accounting (ABA) tests and the net acid generation (NAG) test. Since drainage quality largely depends on the ratio and quality of acid-producing and neutralising minerals, mineralogical calculations could also be used for ARD prediction. In this study, several Finnish waste rock sites were investigated and the performance of different static ARD test methods was evaluated and compared. At the target mine sites, pyrrhotite was the main mineral contributing to acid production (AP). Silicate minerals were the main contributors to the neutralisation potential (NP) at 60% of the investigated mine sites. Since silicate minerals appear to have a significant role in ARD generation at Finnish mine waste sites, the behaviour of these minerals should be more thoroughly investigated, especially in relation to the acid produced by pyrrhotite oxidation. In general, the NP of silicate minerals appears to be underestimated by laboratory measurements. For example, in the NAG test, the slower-reacting NP-contributing minerals might require a longer time to react than is specified in the currently used method. The results suggest that ARD prediction based on SEM mineralogical calculations is at least as accurate as the commonly used static laboratory methods.

Place, publisher, year, edition, pages
Springer, 2018. Vol. 190, no 12, article id 719
Keywords [en]
ABA test, NAG test, SEM, Waste rock, Risk assessment
National Category
Geochemistry
Research subject
Applied Geochemistry
Identifiers
URN: urn:nbn:se:ltu:diva-71593DOI: 10.1007/s10661-018-7096-2ISI: 000450098200002PubMedID: 30426238Scopus ID: 2-s2.0-85056501281OAI: oai:DiVA.org:ltu-71593DiVA, id: diva2:1263432
Note

Validerad;2018;Nivå 2;2018-11-15 (johcin)

Available from: 2018-11-15 Created: 2018-11-15 Last updated: 2022-02-11Bibliographically approved
In thesis
1. Geochemical and mineralogical laboratory methods in waste rock drainage quality prediction
Open this publication in new window or tab >>Geochemical and mineralogical laboratory methods in waste rock drainage quality prediction
2019 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Harmful substances containing acid or neutral rock drainages (ARD and NRD) are a major challenge related to the management of extractive industry wastes. This issue is particularly related to deposits containing sulphide minerals, which are prone to oxidization under the influence of atmospheric oxygen and water. The drainage quality depends mainly on the mineralogical and chemical composition of the extractive wastes, and especially on the ratio of acid-producing and neutralizing minerals, combined with reactions catalysed by microbes. Since harmful drainages play a major role in the generation of environmental issues for extractive industry, the accurate prediction of the drainage quality is of utmost importance. To design appropriate extractive waste facilities and drainage management, the characterisation of extractive wastes and assessment of the behaviour of the waste material is essential already before the actual mining activities start.

Several methods have been developed to characterize extractive waste materials and to predict their short and long term behaviour, including e.g. geochemical laboratory tests, static tests and longer term kinetic tests, and geochemical modelling. The characterisation methods for assessing the ARD risk can be divided into static and kinetic tests. Static tests are short term laboratory analyses, usually used for preliminary investigation and screening. Kinetic tests are longer term tests, revealing information on the time scale of drainage events. Commonly used static tests for ARD prediction include acid–base accounting (ABA) tests and the net acid generation (NAG) test. Since acid and neutralisation potential largely depend on the ratio and quality of acid-producing and neutralizing minerals, mineralogical calculations could also be used for ARD prediction. The mobility of potentially harmful substances from extractive waste can be preliminary assessed using different geochemical laboratory tests, including selective extraction and leaching methods. The most commonly used selective extraction method in Finland is the aqua regia (AR) extraction. In addition to some silicates and secondary precipitate minerals, it is intended to dissolve elements bound especially to sulphide phases. A less commonly used method for element mobility prediction is the analysis of the single addition NAG test leachate.

In this study, several Finnish waste rock sites were investigated and the performances of different preliminary drainage quality test methods evaluated and compared. The assessed acid production potential methods included the ABA test as presented in the standard EN 15875, the single addition NAG test as presented in the AMIRA guidebook, and a SEM mineralogy-based calculation. The assessed methods for element mobility prediction included the single addition NAG test leachate analysis and the AR extraction.

According to the results, pyrrhotite seems to be the main mineral contributing to acid production, and the silicate minerals the main contributors to the neutralisation potential at the most Finnish waste rock sites. Since silicate minerals appear to have a significant role in ARD prevention, the behaviour of these minerals in mining environment should be more thoroughly investigated. In the investigated Finnish waste rocks, Co, Cr, Cu and Ni often occurred as elevated concentrations, and the most widely abundant harmful elements in the waste rock drainages were Co, Cu, Ni and Zn. The results suggest that an acid production prediction based on SEM mineralogical calculation is at least as accurate as the commonly used static laboratory methods. The AR extraction indicates well which elements might occur as elevated concentrations in the drainage. Also the NAG test leachate analysis performed well in element mobility assessment, but only when the NAG test leachate was sufficiently acidic, the leachate pH being below of 3-6, depending on the element of interest.

Place, publisher, year, edition, pages
Luleå University of Technology, 2019
Series
Licentiate thesis / Luleå University of Technology, ISSN 1402-1757
Keywords
Extractive waste characterisation, drainage water, ARD, NRD, ABA test, NAG test, SEM
National Category
Geochemistry
Research subject
Applied Geochemistry
Identifiers
urn:nbn:se:ltu:diva-75747 (URN)978-91-7790-429-8 (ISBN)978-91-7790-430-4 (ISBN)
Presentation
2019-10-23, E246, Luleå University of Technology, SE-97187, Luleå, 11:29 (English)
Opponent
Supervisors
Available from: 2019-08-29 Created: 2019-08-29 Last updated: 2021-05-24Bibliographically approved
2. Geochemical and Mineralogical Characterization of Waste Rocks for Preliminary Mine Drainage Quality Prediction
Open this publication in new window or tab >>Geochemical and Mineralogical Characterization of Waste Rocks for Preliminary Mine Drainage Quality Prediction
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Acid or neutral rock drainage (ARD or NRD) with its attendant elevated concentrations of harmful elements presents one of the main challenges related to the management of waste rocks. Low-quality drainage is a particular issue with respect to mineral deposits containing sulfide minerals, of which pyrite and pyrrhotite are especially prone to produce acidic drainage when exposed to oxygen and water. The generation of low-quality drainage depends primarily on the composition of mine waste, in particular the proportions of acid-producing and neutralizing minerals, as well as the abundance of harmful elements bound to leachable mineral phases. To mitigate adverse environmental impacts, it is important to characterize waste rocks at an early phase of any given mining project. Early-phase characterization is needed in designing appropriate waste facilities, water treatment and closure techniques, and to investigate the potential possibilities for utilization of waste material. Several methods have been developed for characterizing waste rocks and for predicting their potential for generating low-quality drainage. These methods include static and kinetic testing, geochemical extractions, geochemical modelling, and the use of analogs from similar, older, mine waste sites. Geochemical extractions and static tests, such as acid-base accounting (ABA) and net acid-generation (NAG) tests, are commonly used for preliminary screening, and in selecting suitable samples for further testing. The assortment of these preliminary characterization methods should be expanded and their performance in ARD and element mobility prediction investigated further, to improve the accuracy of drainage quality prediction.

The objective of this study has been to enhance waste rock management by developing tools for preliminary waste rock characterization and drainage quality prediction. An additional objective has been to improve the capacity for using geochemical and mineralogical data that have already been obtained during early phases of a mining project, and to provide general information about Finnish waste rock characteristics, so as to highlight the need for regional scale waste rock management and investigations. Accordingly, this study is based on waste rock and drainage samples collected from 19 Finnish active and closed mine sites, with the aim of assessing and comparing the performance of different methods for the preliminary prediction of drainage quality. The investigated acid potential (AP) methods included the ABA test in accordance with the established standard EN 15875, the single-addition NAG test as presented in the AMIRA guidebook, and an additional calculation based on SEM mineralogy. Furthermore, the suitability of seven different sulfur analytical methods for AP assessment was evaluated. The assessed methods for element mobility prediction included single-addition NAG test leachate analysis, as well as aqua regia (AR) and hydrogen peroxide ammonium citrate (HA) extractions, which are commonly used in mineral exploration to determine the concentrations of valuable elements bound to sulfide minerals.

Based on the results, pyrrhotite was found to be the main sulfide mineral contributing to AP in the waste rocks at the investigated sites, with pyrite being the next in importance. The abundance of sulfide species other than pyrite in the waste rocks led to the realization suggested that the appropriate factor for defining the AP, based on multiplying the S content, should instead take into consideration the dominant sulfide species, rather than assume that all S is pyritic. Silicate minerals, especially biotite, were found to be important contributors to the neutralization potential (NP). The results suggested that the AP and NP calculations based on the SEM mineralogy serve as a useful tool in the ARD prediction, as they also reveal the source minerals for AP and NP. However, it is recommended to make use of EDS spectral data to verify that the S concentration calculated by modal mineralogy is in accord with total S based on the EDS sum spectra. The AR-extractable S concentration appeared to be a useful discriminant for determining the S concentration for the AP calculation, as it does not leach baryte, thus more accurately representing the S-content in sulfide.

The most abundant harmful elements in the investigated waste rocks were Co, Ni, Cu, and Cr, whereas in the waste rock pile drainages the most prominent elements were  Ni, Co, Zn and Cu. Results indicated that the use of the Finnish PIMA values (the threshold values defined in the Government Decree 214/2007 on the Assessment of Soil Contamination and Remediation Needs) in the waste rock characterization should be reassessed, especially for Cr, for which concentrations often exceeded the PIMA threshold values, even though they were not elevated in the corresponding drainage waters. Based on the measured drainage water concentrations, the AR and HA extraction methods appeared to be effective in the prediction of preliminary ARD quality. The AR extraction realistically reflected the abundances of elements that are likely to occur in elevated concentrations in the waste rock drainage water. However, this method overestimates contaminant mobilities in some circumneutral drainage cases, and the mobility of Cr in general. The HA extraction also performed well in the prediction of harmful element mobilities, with the exception of Al mobility in acidic drainage systems. The HA extraction appeared to be a more sulfide specific method compared with AR, which is evident for example, in better prediction of Cr mobility. The single-addition NAG test leachate analysis performed well in assessing the mobility of harmful elements, but only when the test leachate was acidic, as the elements appeared to co-precipitate when the NAG test leachate pH rises above 3-6.

Place, publisher, year, edition, pages
Luleå: Luleå University of Technology, 2022
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
Keywords
Mine waste characterisation, mine drainage water, ARD, NRD, aqua regia extraction, ABA test, NAG test, SEM mineralogy, sulfide minerals, risk assessment
National Category
Geochemistry
Research subject
Applied Geochemistry
Identifiers
urn:nbn:se:ltu:diva-89217 (URN)978-91-8048-028-4 (ISBN)978-91-8048-029-1 (ISBN)
Public defence
2022-04-13, F1031, Luleå, 09:00 (English)
Opponent
Supervisors
Available from: 2022-02-11 Created: 2022-02-11 Last updated: 2022-03-22Bibliographically approved

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