Intermittent water optimized supply considering consumption pattern change in water distribution network
Bibliographic record
Abstract
IntroductionClimate change and population increase have caused an increase in consumption in the existing water distribution networks, as a result, an increase in the discharge in the pipes and a decrease in the pressure in the nodes. The decrease in pressure makes some consumers unable to receive the required water. To solve this problem, long-term and short-term solutions have been proposed. Replacing pipes with pipes with a larger diameter is one of the solutions. But it requires considerable time and money. Intermittent supply of water can be used in existing networks to solve the problem.TazeAbad network has a large pressure drop during peak hours. The reason for this is the low diameter of the main pipes, which cause a large drop in the pressure as the consumption increases and the discharge increases. In this study, in order to improve justice and increase water supply in this network, optimal intermittent supply of water was done for 6 areas of this network.MethodologyThe Intermittent supply of water is usually done based on pressure-based hydraulic analysis. In case, the consumers will also store the needs of other hours. In other words, the consumption pattern in continuous supply cannot be used for Intermittent supply. In this research, the Emitter method is used for the hydraulic analysis of the network. In this hydraulic analysis, the amount of water delivered to the node is a function of pressure.Intermittent supply for 6 areas of the water distribution network of TazeAbad city was optimized in 12, 8 and 6 hours with the aim of supplying the required water and high two-objective by using single-objective and two-objective Harmony Search algorithm. In the hydraulic model, the pressure-based hydraulic analysis method and the Emitter method were used to determine the discharge of the nodes and the results were compared. In different scenarios, the possibility of supplying water in 4, 3 and 2 time intervals was investigated.Results and discussionIn all scenarios, the results of pressure-based hydraulic analysis method are located in all areas of Tazehabad city during peak hours. In this method, despite the high distribution uniformity coefficient, the amount of water delivered to consumers is less than their needs in the hour of supply. At present, in TazeAbad distribution network, consumers receive more water at the existing pressures than the pressure-based method.In the Emitter method, in all scenarios, the distribution uniformity is lower than the pressure-based method. But in this method, the supply percentage is much higher. So that more than 95% of customers' demands have been met in 12-hour supply.By reducing the water supply time, the percentage of supply has decreased in both methods. In the single-objective algorithm, the ratio of supplied water to the required water is more than the double-objective algorithm. But the uniformity of the distribution has increased in the double-objective algorithm. In all scenarios, water delivery in the pressure-based method was in one time interval for all areas, but in the Emitter method, water was usually delivered in 2 time intervals.In TazeAbad network, if water is supplied in 2 shifts, the maximum discharge in the network is more than the maximum discharge of the existing conditions of the network. But if water is supplied in 3 and 4 time intervals, the maximum discharge will be closer to the maximum discharge of the network. The difference between the maximum and minimum network discharges in the two-objective algorithm was lower than the single-objective algorithm. The supply of water in 4 time intervals has had the least changes in discharge and consumption coefficients.Conclusions According to the scenarios reviewed in TazeAbad network, water supply in 8 hours was chosen as the best option. In this case, the ratio of supplied water to required water will be around 70% and the uniformity of distribution will be around 87%. The maximum discharge in the water distribution network is almost equal to the maximum discharge in the current conditions. Also, the range of discharge changes and consumption coefficients is lower than the current conditions. In other words, pressure changes in the network will be less than the current conditions.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".