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Enregistrement W7047177415

Effects of Mining on the Geochemistry of Fine Sediments in Streams; a Study in the Quesnel River Catchment

2011· dissertation· en· W7047177415 sur OpenAlexaboutno aff

Notice bibliographique

RevueUtrecht University Repository (Utrecht University) · 2011
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueSuperconducting and THz Device Technology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSampling (signal processing)Hydrology (agriculture)SedimentSTREAMSDrainage basinWeirDrainageDeltaTributary
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This study investigated the influence of mining on the geochemistry of fine sediments in creeks and rivers. The data for this study was collected by conducting fieldwork in the Quesnel River catchment, BC, Canada. \nThe study area includes the drainage area of an active open pit gold- and copper mine and the drainage area of a historic hydraulic gold- and copper mine. In several creeks in the study area, five sampling sites were selected of which one drains a pristine forested area and is functioning as a control site (C1, Edney Creek). Hazeltine Creek drains an active mine and represents two sampling sites (H1 and H2). In the delta that has formed in Quesnel Lake by Hazeltine Creek, another sampling site was selected (D1, delta). In the creek draining the inactive mine, the fifth sampling site was selected (P1, Pine Creek). \nData were collected by sampling bed sediment, suspended sediment and vertical profiles, and by collecting depth samples at each sampling site. Two cores were collected: one in the delta that has formed in Quesnel Lake by Hazeltine Creek and one in a pond formed upstream of a weir in Hazeltine Creek at sampling site H2. \nTo assess the extent of the increase in heavy metal concentrations in the stream sediments and to indicate the relation to background concentrations and the adsorption properties of the sediment, the enrichment ratio was calculated. The enrichment ratio is a measure for the actual difference between background concentrations and elevated concentrations. The enrichment ratio is calculated by dividing the actual metal concentration by the regression prediction of the background concentrations. \nThe heavy metal concentrations that were used to estimate background concentrations include the deeper samples of the core collected in the delta (n=11), the deeper samples of the vertical profiles at sampling sites H2, C1 and P1 (n=10) and the bed sediment samples taken from sampling site C1, the control site (n=6). \nFor sampling sites H1 and H2 and the suspended sediments, heavy metal concentrations were enriched for Se, Cu, Cd, Hg, Mn and Zn. The sampling site in the delta formed in Quesnel Lake by Hazeltine Creek shows enrichment for Se, Hg and Mn. \nSampling site P1 which is draining the inactive mine shows enrichment for Pb and Ni in all stream sediments. \nThe age of the sediment in the two cores was determined in two separate ways. The first method employed the amount of 210Pb and 214Pb (Bq/Kg) in order to apply the constant rate of supply model. The second method employed the amount of 137Cs. In this method the year 1963 can be traced back. \nThe data collected from the cores gathered in the delta formed in Quesnel Lake by Hazeltine Creek and the core gathered at sampling site H2 show different results. No sediment deposition occurred over the last 30 years in the core taken in the delta and the periods of active mining are untraceable. The core collected from sampling site H2 shows enrichment of Se during the two periods of active mining (1997-2001 and 2005-present). Further, the core shows the two active mining periods by an increase in heavy metal concentrations.\nThis study concludes that mining activities do influence the geochemistry of fine sediments in creeks and rivers, but the influence can be minor and it does not directly indicate that the mines that have been investigated are contaminating the research areas. However, this study only concentrated on the input of heavy metal concentrations of stream sediments. \nIn the future close monitoring of the Quesnel Lake research area is considered advisable in order to detect possible elevated heavy metal concentrations.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,771
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,203
Écart entre enseignants0,193 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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