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Enregistrement W2966817767

Long-term ecological behaviour of abandoned uranium mill tailings : 1. Synoptic survey and identification of invading biota / for Environment Canada

2018· article· en· W2966817767 sur OpenAlexaboutno aff
Margarete Kalin

Notice bibliographique

RevueLu Zone Ul (Laurentian University) · 2018
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueInvertebrate Taxonomy and Ecology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésTailingsBiotaUraniumEnvironmental scienceTerm (time)MillUranium mineEcologyIdentification (biology)Mining engineeringEarth scienceGeologyGeographyChemistryBiologyArchaeologyMetallurgy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Inactive uranium mill tailings were surveyed in the Province of Ontario to describe their surface characteristics, identify naturally invading biota, and determine essential chemical and physical parameters associated with the tailings. Inactive tailings sites can have wet areas, tailings completely covered with water, and dry areas. In the wet areas of most sites, wetland vegetation stands were found which were dominated by species of cattails (Typhaceae), along with some species of rushes (Juncaceae) and sedges ( Cyperceae). Dry areas of the tailings exhibited a variety of surface features which are often a reflection of different amelioration efforts. Most of the indigenous species of vascular plants identified on dry areas of the tailings occurred only sporadically. Invading plants found on most sites were the tree species, trembling aspen (Populus tremuloides) and paper birch (Betula papyrifera). Elemental concentration and some physical characteristics of the tailings collected from a depth of 0-20 cm were determined. The concentrations of calcium and uranium were found to have extremely large variations and cannot be considered typical for the tailings material of a site or an area (Bancroft and/or Elliot Lake). Concentrations of aluminum, copper, cobalt, magnesium, manganese and nickel in the tailings were less varied. In all tailings materials from the Bancroft area, concentration ranges of the above elements were similar to those of soils collected from both areas and to the values quoted in literature. The elements sodium and lead are possibly enriched in the tailings of the Bancroft area compared to mineral soils from the same area, and to soils in general. For the tailings in the Elliot Lake area, aluminum, chlorine, magnesium and nickel were determined in concentration ranges typical of soils, but manganese and sodium were depleted in the surface of those tailings. Lead concentrations in the tailings were elevated in this area. Thus, considering concentrations of selected elements in tailings, differences between the mining areas are evident. A comparison of pH, electrical conductivity, loss-on-ignition and moisture loss of tailings with that of soils, suggests that tailings differ drastically in these characteristics. These results are important with respect to natural rehabilitation of inactive or abandoned uranium mill tailings. Uptake of heavy metals and radionuclides was evaluated in trees found in the dry areas and in cattails (Typha latifolia) in the wetland areas. In trees, the metals and radionuclides were distributed throughout all organs whereas in the cattails, a large fraction was retained in the roots. Concentration factors (plant/tailings concentrations) were found to be generally below unity, with some exceptions for radium-226 in the cattails. Water bodies on tailings and surface water leaving the tailings, before and after treatment, were characterized in this survey. The surface waters on the tailings and seepages were usually acidic; however, the pH was not lower than that of most waters leaving natural acidic environments (bogs or muskegs). The treatment of the effluent water was found to reduce production of biomass as estimated by determination of chlorophyll a. Radionuclide and metal concentrations in waters associated with tailings were found to have extremely large variations. Detailed work is required to determine the factors controlling the physical and chemical characteristics of surface waters on tailings. Aquatic_ bryophytes have invaded some water bodies on the tailings, and acid tolerant algae were evident in most of the water associated with the tailings. The promotion of growth of these biota together with the wetland communities on the tailings beaches may provide some means of natural amelioration for the wet areas of the inactive tailings sites in the long-term. Some inactive tailings sites, described in this survey, were completely covered with water and wetland vegetation. The interactions of these biota with the tailings could be investigated on these sites. Ecological processes occurring on inactive uranium mill tailings which were identified in this survey are essential in evaluating the long-term fate of these waste sites.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,219
Score d'incertitude au seuil0,441

Scores du classifieur distillé par catégorie (deux têtes)

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 technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,016
Tête enseignante GPT0,177
Écart entre enseignants0,160 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2018
Routes d'admission1
Résumé présentoui

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