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Record W1985827124 · doi:10.2495/sdp-v9-n2-196-210

Stormwater quality control for sustainable urban drainage systems

2014· article· en· W1985827124 on OpenAlexvenueno aff
Sara Todeschini, Sergio Papiri, Carlo Ciaponi

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsnot available
Fundersnot available
KeywordsStormwaterEnvironmental scienceSurface runoffPollutantDrainageWater qualityCombined sewerEnvironmental engineeringDrainage system (geomorphology)Water resource managementHydrographSewage treatmentUrban runoffPollutionHydrology (agriculture)EngineeringEcology

Abstract

fetched live from OpenAlex

The paper deals with the performance assessment of stormwater facilities in mitigating the negative effects of urban runoff pollutants carried both to the receiving environment and to the urban drainage system. Experimental campaigns and numerical simulations have been carried out on a residential catchment of Pavia, Lombardia, Italy. The rainfall-runoff process and the pollutant dynamics in the catchment and combined sewer network were simulated using a conceptual model based on an instantaneous unit hydrograph of a single linear reservoir system for individual events as well as for a continuous run of events and inter-event periods over one year. Several design confi gurations and operating conditions of fl ow regulators (FRs) and stormwater detention tanks (SWDTs) have been evaluated by defi ning performance indicators that simultaneously account for a large number of technical, environmental, and socio-economic constraints.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.691
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.249
Teacher spread0.235 · 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 teacher head, not a consensus.

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

Citations13
Published2014
Admission routes1
Has abstractyes

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