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Record W2739636367

STATISTICAL ANALYSIS TO IDENTIFY THE MAIN PARAMETERS TO THE WASTEWATER QUALITY INDEX OF CETP : A CASE STUDY AT VAPI, GUJARAT, INDIA

2013· article· en· W2739636367 on OpenAlexaboutno aff
Abhishek Shah, Anjali K. Khambete

Bibliographic record

VenueJournal of environmental research and development/Journal of Environment Research and Development · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsRegression analysisWastewaterEnvironmental scienceEffluentStatisticsStatistical analysisPollutionSewage treatmentRegressionIndex (typography)MathematicsEnvironmental engineeringComputer science
DOInot available

Abstract

fetched live from OpenAlex

The Wastewater Quality Index (WWQI) for wastewater of Common Effluent Treatment Plant (CETP) was found considering all the parameters described by Central Pollution Control Board (CPCB). CCME (Canadian Council for Management for Environment) method was used for the development of WWQI. Initially 23 parameters were analysed. But the values of some parameters were very low with respect to their prescribed limits and few parameters were found totally absent during the analysis. Hence, these parameters were omitted and WWQI was developed with 16 parameters. Further, with the help of software called SPSS correlation between WWQI and different parameters of wastewater was found out. From this analysis, the parameters significantly affecting WWQI were determined and a regression equation was developed considering these parameters only using SPSS software. Again, WWQI was found out with the help of regression equation. At the last results from both CCME method and regression equation were compared.

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)0.018
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.408
Teacher spread0.293 · 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.

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

Citations5
Published2013
Admission routes1
Has abstractyes

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