Optimal selection of seawater desalination technology in Oman
Bibliographic record
Abstract
Groundwater is the main water source in the Sultanate of Oman, which is overexploited to meet water needs as the country faces a deficit between replenishment and demand. In order to conserve groundwater resources, Oman started using seawater desalination technology in 1997. In the future, the government strategic plan is to meet 90% of its drinking water demand from desalinating seawater. The selection of a desalination technology depends on the need and capability of the country, and as the technologies have improved and become efficient over the years, it is necessary to evaluate the technologies to make an informed decision. Therefore, this research adopts the analytical hierarchy process to select the best seawater desalination technology for Oman based on several desired criteria. This study considered several criteria and sub-criteria in the evaluation process and concluded that the most important criteria influencing the selection of desalination technology are environmental, social and economic criteria, with priority vectors of 0.362, 0.238 and 0.179, respectively. The study further concluded that the optimum seawater desalination technology for Oman, based on the desired criteria, is reverse osmosis, followed by forward osmosis, multistage flash and multiple-effect distillation.
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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 | 0.000 | 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".