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Record W7014607155

Phosphorus removal in a vertical up-flow constructed wetland

2013· dissertation· en· W7014607155 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2013
Typedissertation
Languageen
FieldEnvironmental Science
TopicConstructed Wetlands for Wastewater Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEutrophicationWetlandPhosphorusWater qualityDrainageTile drainageAquatic ecosystemInterceptionEcosystemHydrology (agriculture)
DOInot available

Abstract

fetched live from OpenAlex

Accelerated eutrophication of freshwater ecosystems led by agricultural activities has raised concerns in Southern Quebec and other industrialized locales. Phosphorus being the main culprit, effort has been made to rationalize application and curtail exports of this nutrient with agricultural best management practices. Still, concentrations of phosphorus and nitrogen in typical tile drainage return flow wastewater exceeds the eutrophication-prevention criterion set by the Quebec Ministry of Environment (0.030 mg TP ∙L-1) and the ecosystem safeguard criterion suggested in the literature (1.10 mg TN ∙L-1), with cumulative loads becoming a major contributor to the poor quality of downstream aquatic ecosystems, especially when poorly diluted, as is the case with heavily drained agriculture-dominated watersheds.As a third line of defense in a best management practices package, constructed wetlands (CWs) for the interception of phosphorus are proposed. These wetlands can also mitigate nitrogen and contribute other ancillary benefits. They can be implemented at the mouth of tile drainage or at the confluence of a few outlets, i.e. drainage ditches or first order streams.The main phosphorus removal mechanisms in a CW are adsorption and precipitation with positively charged ions contained in the substrate (e.g., Ca2+, Fe3+, Al3+). Physico-chemical conditions prevailing in the system – especially redox potential – are major factors influencing these reactions. A sub-surface vertical up-flow system seems most appropriate, as it maximizes potential interaction of pollutant-charged water with the substrate constituents, allowing full radial contact and deterring preferential flow. These wetlands also are efficient longer into the cold season, given the underground nature of the flow. An experiment was conducted on McGill's CW research site, situated in Ste-Anne-de-Bellevue, Québec, so as to ascertain the efficiency of a vertical up-flow constructed wetland in treating tile drainage return flow wastewater. During 14 weeks, the capacity to remove the different forms of phosphorus was evaluated, as was the removal of nitrogen compounds. The effluent quality was also compared to the criteria. The wetland had a dimension of 9.15 m2 and the target flow rate was 1 L∙min-1, which is representative of a drainage system serving a 3 ha field in typical Southern Quebec conditions (wetland:watershed ratio: 0.03%; hydraulic loading rate: 0.16 m∙d-1; hydraulic retention time: 2.99 days). The target influent concentrations were 0.300 mg TP ∙L-1, and 10.00 mg TN ∙L-1, which – again – is typical of Southern Quebec tile drainage return flow. The wetland was efficient at removing 84% TP and 86% TN, but the treated wastewater was still above the criteria in 76% and 69% of the cases for TP and TN, respectively.Recommendation is made to supplement the wetland with a dedicated phosphorus-removal substrate so as to further enhance its performance, and to increase the wetland:watershed surface ratio to abate more nitrogen compounds. Community support is key to the implementation of agricultural best management practices. Hence, suggestion is made to include constructed wetlands in the set of initiatives that are financially aided through governmental programs, such as Prime-Vert of Québec.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.211
Teacher spread0.202 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

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