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Record W7036079624

Bioretention Systems for Stormwater Management: Assessment, Performance and Changes Over Time

2021· dissertation· en· W7036079624 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace (University of Toronto) · 2021
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsnot available
Fundersnot available
KeywordsBioretentionStormwaterSurface runoffLow-impact developmentHydraulic conductivityHydrology (agriculture)Water quality
DOInot available

Abstract

fetched live from OpenAlex

Bioretention systems function to mimic natural hydrology, by retaining stormwater runoff from routine rain events and returning it to infiltration and evapotranspiration, instead of runoff. This thesis consists of four studies which answer these research questions: How do we assess performance, and how does bioretention performance change over time? A systematic scoping review of 320 studies found that bioretention performance is defined in terms of hydrologic controls, while investigations into mechanisms of contaminant transport and fate are overlooked. Bioretention field research has been primarily conducted by a small number of institutions (26 institutions were responsible for 50% of the research) located mainly in high income countries, and primarily on new systems for a short period of time. \nFollowing the definition of performance, a field survey of mature systems (>3 years operation) was conducted on bioretention cells across Ontario, Canada. Saturated hydraulic conductivity (KSat) (a measure of hydrologic performance) was above minimum guidelines for all sites, and KSat improved for 6 of 9 sites. Soil-water interaction properties, such as plant available water and wilting point, more closely resembled loam soils than sandy soils, which may be due to the development of a soil structure over time. \nA more in-depth analysis of bioretention performance was conducted using a bioretention cell located in Vaughan, Ontario. The hydrologic and water quality performance was compared over two monitoring periods: new (immediately post-construction) and mature (4-5 years post-construction). The hydrologic performance was maintained in the mature system (median volume reductions of 100%) and mature effluent water quality was improved compared to the new condition for some parameters (e.g., dissolved solids, nitrogen species). A complete water balance of the system was performed using inflow, outflow and evapotranspiration data (via a weighing lysimeter). The water balance was further broken down by event size, where the event size was determined by rainfall frequency analysis. Recharge was the largest component of the water balance overall (86 % of inflow), and evapotranspiration was the next largest water balance component (7 % of inflow overall). Evapotranspiration was a significant component of inflow (21 %) when considering small events with a 50% chance of occurrence.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.949
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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)0.0020.000

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 head0.233
Teacher spread0.220 · 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