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Record W2251590366 · doi:10.2495/wp010091

Evaluation Of Hydraulic Conductivity In A Phragmites WastewaterTreatment Plant

2001· article· en· W2251590366 on OpenAlexaboutno aff
M. Mastrorilli, Ezio Ranieri, Vincenzo Simeone

Bibliographic record

VenueWIT Transactions on Ecology and the Environment · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicConstructed Wetlands for Wastewater Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPhragmitesPermeameterHydraulic conductivityEnvironmental scienceWetlandEffluentEvapotranspirationAquatic plantPermeability (electromagnetism)RhizomeHydrology (agriculture)Environmental engineeringSoil scienceSoil waterMacrophyteBotanyEngineeringEcologyGeotechnical engineeringBiology

Abstract

fetched live from OpenAlex

This paper reports first. result of absorption tests for the evaluation of the permeability of two constructed wetland plants built up near Putignano (BA) for the treatment of local wastewater municipal treatment plant effluent. These fields were planted with phragmites australis hydrophytes and covers an area of approx. 2,000 m*. They have been designed with Kickuth Root-Zone Method [l]. The assessment of the operational parameters of the system - hydraulic conductivity (permeability) in particular is very useful to obtain good design criteria - is quite difficult for the presence of coarse grained gravels mixed with rhizomes, for the influence of evapotranspiration and because of the different conditions of phragmites during the year. To the aim of better understanding the hydraulic of the system a in situ tests program has been planned. In this paper are reported first results concerning in situ measurement of permeability in the plants by Guelph permeameter. These preliminary results are in good agreement with the expected values on the basis of which the design of the plants have been developed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

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)0.0000.000

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 head0.013
GPT teacher head0.207
Teacher spread0.194 · 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

Citations8
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueWIT Transactions on Ecology and the EnvironmentSame topicConstructed Wetlands for Wastewater TreatmentFrench-language works237,207