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Record W3194202546 · doi:10.5383/swes.7.02.008

Sewage Quality Assessment of Various Places in Bilaspur City

2015· article· en· W3194202546 on OpenAlex
Ashish Kumar Parashar

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Sustainable Water and Environmental Systems · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsSewageEnvironmental sciencePollutionPopulationSewage treatmentEnvironmental engineeringEcologyEnvironmental healthBiology

Abstract

fetched live from OpenAlex

The quantity, strength and type of sewage depends upon the population, Life style of people and the existence of different types of industries respectively and the amount of treatment required to be given to sewage depends very much upon the source of disposal. In Bilaspur the source of disposal of municipal as well as industrial waste water is Arpa River (Non perennial) which is known as life line of Bilaspur city. The climatic change has already turned the perennial Arpa River into non Perennial River and at this time the Urbanization, Industrial growth and improved standard of living of people of Bilaspur have increased the strength and quantity of sewage in recent years to a point where dilution alone can no longer be relied upon to prevent the undesirable effect of pollution. Hence it is absolutely necessary to study the characteristics and behavior of sewage, to ensure its safe disposal. This study will help us in determining the degree and type of treatment required to a given sewage according to its characteristics and thus to avoid the pollution of the source of its disposal i.e. Arpa river so that the adverse effect of pollution on human health, aquatic life, animals and plants can be eliminated. For the present study we have selected 4 places in Bilaspur City for collection of sewage hence Sample 1 was collected at Vasant Vihar S.E.C.L. Colony, The sample 2 was collected from M/S Narmada Drinks Pvt. Ltd. Sirgitti, The sample 3 was collected at Pachrighat drain. The sample 4 was collected from Nalla near Bannak Chowk Sirgitti. The Chemical tests namely Suspended Solids, Dissolved Solids, Chloride Content, Chemical Oxygen Demand and Physical tests namely pH value, Temperature, Threshold Odour Number (TON) had been performed and the tests results were compared with Indian standards permissible limits. Priority of this journal is to provide our important and valuable information to all people who show interest. The test results indicated that the Sample-1Vasant Vihar is less polluted, Sample-2 Narmada Drinks only requires neutralization of Chloride Content, Sample-3 Pachrighat was polluted and required treatment in summer season for reducing Solids whereas Sample-4 Bannak Nalla was highly polluted and required throughout treatment of higher degree. Out of the four samples the Sample-4 (Nalla near Bannak Chowk) was found to be most polluted sample in terms of Suspended solids, Chloride content, C.O.D., B.O.D. & T.O.N. and the drain containing this sample is being used by local public and is being discharged untreated into Arpa River. This Wastewater must be treated to prevent the Environment and the water bodies.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.482

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 head0.029
GPT teacher head0.296
Teacher spread0.267 · 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