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Record W7015239339

Selenium in the prairie waters of southern Manitoba : concentration, speciation, and temporal variation

2009· dissertation· en· W7015239339 on OpenAlexfundaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2009
Typedissertation
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSeleniumMarshHydrology (agriculture)WatershedSedimentMacrophyteGenetic algorithmMesocosm
DOInot available

Abstract

fetched live from OpenAlex

The prairie waters of southern Manitoba share many similarities in geology, climate, water chemistry and hydrology with those in the western United States, where elevated concentrations of selenium from irrigation practices have resulted in adverse impacts on fish ald waterfowl.To assess the current range of selenium exposure in southem Manitoba, the concentration, speciation and temporal variation of selenium were studied at Delta Marsh, Stephenfield Reservoir and the South Tobacco Creek Watershed between July 2005 and July 2007 .The sites were selected based on their perceived level of impact from agricultural practices.Delta Marsh was chosen as a reference site and was to provide a background level of selenium in southern Manitoba.Stephenfreld Reservoir and the South Tobacco Creek Vy'atershed were chosen as potentially selenium contaminated areas by irrigation and other agricultural activities, respectively.A new analytical technique was developed to determine the selenium speciation in natural waters, which was applied to examine the fate of selenium under elevated conditions by a mesocosm study.At Delta Marsh and Stephenfield Reservoir, the total selenium concentrations were low (<1 pg/L) in the surface water, less than 1.3 pglg (dry weight) in the sediment cores, and less than 0.12 pglg @ry weight) in the macrophytes tested.At the South Tobacco Creek Watershed, elevated selenium concentrations (>11 pgll,) in the surface water were found during the spring freshet in 2007 with lower levels observed for the rest of the year, indicating a potential selenium source from airbome particles accumulated during the winter and/or increased soil erosion during snowmelt.A high performance liquid chromatography-inductively coupled plasma-dynamic reaction cell-mass spectrometry (HPLC-ICP-DRC-MS) method was developed for determination of selenium speciation in natural waters.It allows for the isocratic separation of selenite, selenate, and several organoselenium species (e.g., selenomethionine, Se-metþlselenocysteine, selenocystine) in a rapid fashion.No pre-concentration or pre-reduction step is required, which minimizes the risk of cross-contamination and alterations in speciation, and increases the sample throughput.In the surface water samples from the South Tobacco Creek Watershed, selenium speciation is dominated by selenate, with a small fraction being in the form of selenite.No detectable organoselenium species were found.A mesocosm study on the transport and transformation of selenium was carried out from May to August 2007, in Crescent Pond of Delta Marsh.Three mesocosms were deployed in the pond, two of which were spiked with 6.3 and,15.7 ¡rgll, 82Se1IV), respectively, in the overlying water column.The concentration of spiked selenium decreased to 2 ¡tglL in 20 days after addition, and was almost completely removed from the surface water and below the detectable concentration in about 50 days.The overall results of this thesis indicate that selenium concentrations in the prairie waters of southem Manitoba are low at present, and if selenium is discharged as selenite, it will be quickly removed from the surface water.However, selenium can be elevated during the snowmelt season and in areas of intensive agricultural activities such as at the South Tobacco Creek Watershed.A direct link between surface water selenium concentration and irrigation cannot be established at this time, but continuing of the monitoring of selenium in the prairie waters in southern Manitoba is warranted given the projected increase in irrigation and other agricultural activities in this area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.351

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.207
Teacher spread0.193 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2009
Admission routes2
Has abstractno

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