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Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
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Modeling complexity in engineered infrastructure system: Water distribution network as an example.

Fang Zeng1, Xiang Li2, Ke Li1

  • 1Faculty of Engineering, University of Georgia, Athens, Georgia 30605, USA.

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Summary
This summary is machine-generated.

This study models water distribution network growth, finding urban expansion significantly impacts efficiency. Engineering solutions offer limited efficiency gains but can enhance network robustness and redundancy.

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Area of Science:

  • Complex systems science
  • Network theory
  • Urban infrastructure modeling

Background:

  • Infrastructure systems exhibit complex topology and adaptive behavior.
  • Engineering complex systems necessitates balancing holistic and reductionist approaches.

Purpose of the Study:

  • To develop a complex network model for simulating water distribution network (WDN) growth.
  • To investigate the interplay between urban growth patterns and WDN characteristics.

Main Methods:

  • A complex network model combining local optimization rules and engineering considerations.
  • Dynamic demand node generation following urban growth scaling laws.
  • Comparison with existing modeling approaches to validate realism.

Main Results:

  • The model successfully generates WDNs with structural properties similar to real-world networks.
  • Realistic demand node distribution and co-evolution are crucial for accurate network simulation.
  • WDN efficiency is exponentially influenced by urban growth patterns.
  • Engineering optimization yields limited improvements in efficiency but significantly enhances redundancy and robustness.

Conclusions:

  • Urban growth dynamics are a primary driver of WDN efficiency.
  • Engineering interventions are more effective for improving WDN resilience than overall efficiency.
  • The developed model provides insights into the co-evolution of urban development and infrastructure networks.