An Overview of the Groundwater Situation in Namkhana Block, Sundarban Biosphere Reserve, India, from the Pinnacle of a Propagating Delta Front: A Post-Monsoonal Survey
Why this work is in the frame
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Bibliographic record
Abstract
This study is a real-time hydrogeological investigation to appraise the groundwater scenario and spatial variations of its major physicochemical parameters at the southernmost apical fringe of the Indian Sundarban Biosphere Reserve area in mesoscale during the recent post-monsoon season (PoM). The study was based on the acquisition and analysis of primary field data collected from the southernmost apex of the river Ganga-Brahmaputra-Meghna delta and restricted to the Namkhana Development Block of South 24 Parganas district, West Bengal, India. Twenty-two groundwater samples were collected from bore wells post-monsoon (October 2022). Measurements of major physical parameters were done in situ. Geospatial contour maps representing variations of influencing parameters were prepared. The drinking and irrigation suitability of the water was validated by existing standard equations and plots. Chemical analyses were done to evaluate its hydrochemistry and suitability for drinking and agriculture. Obtained results primarily revealed that TDS and pH are at marginal ranges with significantly alarming concentrations for some major contributing ions, chiefly bicarbonates, and sodium. The overall suitability of groundwater for agriculture, drinking, and domestic purposes differs from acceptable limits. Indiscriminate groundwater exploitation from deeper aquifers for agriculture seemed to be the prime factor responsible for this situation.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it