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Record W2239542462 · doi:10.24102/ijes.v3i2.518

Assessment of Groundwater Quality of Rural Areas of Allahabad District, India

2015· article· en· W2239542462 on OpenAlex
Rakesh Chandra Vaishya, Deepa Srivastava, Ishita Agarwal

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 Environment and Sustainability · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicFluoride Effects and Removal
Canadian institutionsnot available
Fundersnot available
KeywordsWater resource managementGroundwaterGeographySocioeconomicsRural districtEnvironmental scienceGeologySociology

Abstract

fetched live from OpenAlex

Ground water resources are faced with an unprecedented risk of contamination, either due to leaching of metal from underground minerals or release of large quantities of industrial effluents throughout the world. Currently, about 20% of the world’s population lacks safe drinking water according to United Nations Environmental Program (UNEP, 1999). Groundwater is the most important natural resource required for drinking for many people around the world, especially in rural areas. The resource cannot be optimally used and sustained unless the quality of groundwater is assessed. A study on assessment of water quality of Allahabad District was conducted for 400 nos. of samples which were collected from 40 habitations of twenty blocks (two habitations from each blocks). The 16 water quality parameters (physical, chemical, and bacteriological), including iron, fluoride, hardness, total alkalinity, and arsenic, were analysed after bringing samples under controlled conditions from various, remotely placed habitations in the environmental engineering laboratory of the civil engineering department. The results were compared with the desirable limits of particular parameters as recommended by BIS: 10500 (91). The results showed that most of the sources were found to be contaminated by pathogenic organisms as per MPN test. The fluoride concentrations were found in excess of permissible limits in Shankargarh and Kondhiyara blocks. Iron concentrations were found too high in Shankargarh, Jasra, Soraon, and Mauaima blocks. The hardness of water samples tested was also high in Shankargarh, Jasra, and Mauaima blocks. The total alkalinity of Manda, Pratappur, Phulpur, Mauaima, and Holagarh blocks were found to be too high with reference to the desirable limit. The samples of Shankargarh and Bahadurpur blocks have shown higher arsenic concentration per new WHO guidelines. Based on assessment and testing of the quality of the groundwater of the Allahabad District, the quality is doubtful and requires preventive measures be taken before supplying water to the rural people. Therefore, sufficient precautions must be taken by concerned authorities to search for alternative sources, or treatments, of present sources to make it potable.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.310

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 head0.010
GPT teacher head0.287
Teacher spread0.277 · 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