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Comportement géochimique et hydrogéologique des stériles de la mine Lac Tio

2013· article· en· W2279607118 on OpenAlexafffund
Mostafa Benzaazoua, Bruno Bussière, Isabelle Demers, Benoît Plante, Geneviève Pépin, Michel Aubertin, Michel Chouteau, Ihssan Dawood, Rachid Intissar, Geneviève Lessard, Mónica Enriquez Monzón, Anna Peregoedova, Gérald J. Zagury, John Molson, Donald Laflamme

Bibliographic record

VenueEnvironnement Ingénierie & Développement · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsUniversité LavalUniversité du Québec en Abitibi-Témiscamingue
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHydrogeologyGeochemical modelingAcid mine drainageEnvironmental scienceGeologyLand reclamationHydraulic conductivityMining engineeringContaminationPileGeotechnical engineeringSoil waterSoil scienceGroundwaterEnvironmental chemistryChemistryArchaeology

Abstract

fetched live from OpenAlex

Chemical reactions occurring between mine wastes and their environment can lead to water contamination, even at near-neutral pH; this phenomenon is called Contaminated Neutral Drainage (CND). CND generation is observed at the Lac Tio mine site where Ni concentration at some exfiltration points occasionally exceeds the regulation criteria.The Lac Tio mine exploits the largest massive ilmetite ore body in the world. A research program was undertaken in 2005 to better understand the phenomena leading to mine water contamination and to help identifying the most appropriate reclamation approaches. More specifically, the waste rock geochemical behaviour was first characterized and analyzed at different scales (in the laborator y and in the field). Geochemical modeling was also performed to better understand and eventually predict the geochemical behaviour. Since this behaviour is tightly related to water movement in the waste rocks, some efforts were also dedicated to the material’s hydrogeological characterization and to the evaluation of the internal structure of the main waste rock pile. Results showed that the geochemical behaviour of the different waste rock types is mainly a function of the hémo-ilmenite content and of the age of the waste.The hydrogeological tests allowed estimating the in situ saturated hydraulic conductivity variability (usually between 10-1 and 10-3 cm/s). The flow velocity into the pile was estimated to values less than 0.35 cm/day using numerical modelling.All these results and knowledge will be used in the next years to identify the most appropriate waste rock management strategy that reduces environmental impacts and facilitates the site reclamation. Les réactions chimiques qui ont lieu entre les rejets miniers et leur environnement peuvent mener à une contamination des eaux, et ce, même à des pH proches de la neutralité ; on parle alors de drainage neutre contaminé (DNC). Ce phénomène de DNC est observé au site de la mine Lac Tio, où la concentration en Ni à certaines résurgences dépasse parfois les normes environnementales. Pour bien comprendre les phénomènes menant à la contamination des eaux minières au site de la mine Lac Tio, et afin d’aider à sélectionner les approches de restauration les plus appropriées, un programme d’étude a été entrepris en 2005. Plus spécifiquement, le comportement géochimique des stériles a d’abord été caractérisé et analysé à plusieurs échelles (au laboratoire et sur le terrain). Des modélisations géochimiques ont également été réalisées afin de mieux comprendre, et éventuellement, prédire ce comportement géochimique. Comme ce dernier est étroitement lié au mouvement de l’eau dans les stériles miniers, des efforts ont aussi été consacrés à la caractérisation hydrogéologique des matériaux et à l’évaluation de la structure interne de la halde principale. Les résultats ont montré que les différents types de stériles ont des comportements géochimiques qui sont fonction, principalement, de leur pourcentage d’hémo-ilménite ainsi que de leur âge. Les essais hydrogéologiques quant à eux ont permis d’estimer la variabilité de la conductivité hydraulique en place (habituellement entre 10-1 et 10-3 cm/s). Grâce à la modélisation numérique, il a été possible d’estimer les vitesses d’écoulement qui sont typiquement inférieures à 0,35 cm/jour. Toutes ces nouvelles connaissances vont être utilisées dans les prochaines années afin d’identifier les modes de gestion des stériles qui permettent de réduire les impacts environnementaux et de faciliter la restauration du site.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.257
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2013
Admission routes2
Has abstractyes

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