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Multipipe systems consist of complex configurations of interconnected pipes designed to transport fluids efficiently across intricate networks. They are essential in engineering applications requiring precise control over flow distribution, pressure, and head loss. They are categorized into series, parallel, loop, and network configurations, each distinguished by unique flow characteristics and applications.
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The human body predominantly expels water through the urinary system. On average, an individual generates around 1.5 liters of urine each day. This amount can fluctuate based on how well a person is hydrated, but a critical minimum quantity of urine must be produced to ensure the body's proper functioning. Daily, the kidneys remove 600 to 1200 milliosmoles of dissolved substances, effectively excreting excess minerals and water-soluble toxins such as creatinine, urea, and uric acid from the...
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Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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Multiobjective evolutionary optimization of water distribution systems: Exploiting diversity with infeasible

Tiku T Tanyimboh1, Alemtsehay G Seyoum1

  • 1Department of Civil and Environmental Engineering, University of Strathclyde, James Weir Building, 75 Montrose Street, Glasgow G1 1XJ, UK.

Journal of Environmental Management
|September 4, 2016
PubMed
Summary

This study optimized water distribution systems using evolutionary algorithms, efficiently finding cost-effective solutions. A larger population size (1000) yielded slightly better results for pipe cost savings.

Keywords:
Constraint handlingDynamic simulationInfrastructure planningMaximum solution vectorMinimum solution vectorWater supply

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Area of Science:

  • Engineering
  • Computer Science
  • Environmental Science

Background:

  • Water distribution systems require efficient optimization for cost-effectiveness and reliability.
  • Constraint handling in multi-objective evolutionary optimization (MOEO) is crucial for complex systems.

Purpose of the Study:

  • To investigate the computational efficiency of MOEO for water distribution system optimization.
  • To evaluate a novel constraint handling approach promoting feasible and infeasible solution diversity.

Main Methods:

  • Developed a MOEO approach fostering co-existence of feasible and infeasible solutions using Pareto dominance.
  • Exploited non-dominated infeasible solutions for boundary search and gene pool diversity.
  • Analyzed performance with varying population sizes against decision variables in a real-world system.

Main Results:

  • The optimization algorithm demonstrated efficiency, stability, and robustness.
  • Optimal and near-optimal solutions were found reliably.
  • Achieved significant cost savings (up to 48.2%) in pipe costs for the real-world system.

Conclusions:

  • The proposed MOEO constraint handling is effective for water distribution system optimization.
  • A population size of 1000 provided marginally superior results compared to 200.
  • The method consistently met flow and pressure requirements while reducing costs.