Impacts Evaluation of Chashma Right Bank Canal on the Water-Table of District Dera Ismail Khan, Pakistan
Bibliographic record
Abstract
This paper analyses the impact evaluation of Chashma Right Bank Canal (CRBC) on the water-table of district D.I. Khan, Pakistan. The study area falls in the arid agro-ecological zone of Pakistan. In order to achieve objectives of the study, data were gathered from both primary and secondary sources. Primary data were obtained through a detailed field survey, where five sample villages were also selected by random means for micro-level analysis. Out of which four from CRBC command areas and one village from outside the command area. Data were also collected during focused group discussion with the farmers and elderly people to grasp the ex post impact of CRBC on water-table. In addition to this, pre-CRBC data were obtained from WAPDA. The analysis reveals that in the study area water-table varies from area to area. A large tract of saline groundwater is available in the western section, whereas the eastern section has good quality of freshwater aquifers. After the construction of CRBC, there has been a gradual rise in water-table due to intensive irrigation, introduction of water loving crops, high cropping intensity and unlined irrigation network. The analysis further reveals that in certain areas, the rise in water-table is very alarming. Such threatening situation may encourage waterlogging, soil salinization that may halt agricultural productivity.
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.
How this classification was reachedexpand
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 | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".