Study of hydrological soil properties of salt affected areas around Gohana, Sonipat district, Haryana
Bibliographic record
Abstract
Monitoring of hydrological data is pre-requisite for systematic and scientific designing of sub-surface drainage system for control water logging and salinity. In the present study, field experiments were conducted to determine various soil hydrological and physico-chemical properties (soil texture, color, permeability, infiltration, soil moisture characteristics, dry density, total dissolved solids, SAR, etc.) under saline soils around Gohana tehsil. The majority of the area is represented by silt loam texture with varying soil color having dominance of yellowish brown in top layer. The in-situ permeability was measured using Guelph Permeameter in the field and its values were found to vary from 0.01 to 0.69 m/d for silt loam. The SAR of the soil generally varied from 0.5 to 54. The infiltration data of area was fitted with Kostiakov’s type cumulative infiltration function (Y=a *t b ) and its coefficient of determination (r 2 ) varied from 0.956 to 0.998. The present data would be useful in planning of on farm land and water management strategies ultimately for enhancing the productivity of the land.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".