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Record W2081840174 · doi:10.2495/sdp-v9-n6-847-860

Emitter clogging in a reclaimed water irrigation scheme with controlled suspended load

2014· article· en· W2081840174 on OpenAlexvenueno aff
Md Moinul Hosain Oliver, David Pezzaniti, Guna Hewa

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicIrrigation Practices and Water Management
Canadian institutionsnot available
Fundersnot available
KeywordsCloggingReclaimed waterEnvironmental scienceIrrigationLand reclamationWater resource managementEnvironmental engineeringWastewaterGeographyAgronomy

Abstract

fetched live from OpenAlex

Emitter clogging in drip irrigation system is a very common problem when used with reclaimed water. The suspended solids from treated water are the major elements of clogging mechanism. Coupled with bacterial biofi lms, these particulates can reduce the fl ow of emitters by creating barriers in the fl ow path. This experimental study reports the performance of three types of pressure compensated emitters in a drip irrigation system. Reclaimed water with a sediment load of 10 mg/l was supplied in the system throughout the experiment. Four ranges of particle sizes (0-45, 45-90, 90-150, and 150-300 m) were used during 770 h of intermittent irrigation. Low fl ow emitters (<2 l/h) were found to be clogged quicker than those with higher fl ow rates. Though fl ushing of the system did not help in discharge recovery of the partially clogged emitters, it helped regain the lateral fl ow. The interior geometry of biofi lms was found to be built only by the smaller particles. Larger particles (>50 m) only appeared around the perimeters of matured biofi lms making the surface topography very coarse and undulating.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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 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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

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