An integrated approach for the assessment of water availability for irrigation in semi-arid regions
Bibliographic record
Abstract
An integrated approach to water availability assessment for irrigation is presented and illustrated through examples from Canada's South Saskatchewan River Basin (SSRB). It is based on the integration of irrigation and non-irrigation water demands at the basin level, and accounts for the seasonal and annual variation in water supply and water demand. Irrigation water demands are derived from a detailed simulation model which estimates irrigation water diversion and return flow based on physical, climatic and operational parameters and management practices. By integrating the time varying demand and supply, water availability can be expressed in terms of probability or a risk-management context. The impact of any long-term climatic changes on water availability is determined through integration of the resulting changes in water demand and water supply. The paper explains the modelling framework used and its application to SSRB, with special emphasis on irrigation. The importance of accounting for the temporal variability of demand and supply when assessing water availability is demonstrated through several examples, including sensitivity analysis of the irrigation sector and the overall basin water resources to climatic changes.
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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 | 0.001 | 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 | 0.000 |
| Open science | 0.000 | 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 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".