Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".