Corpus ID: 235652260

A growth model for water distribution networks with loops

  title={A growth model for water distribution networks with loops},
  author={Kashin Sugishita and Noha Abdel-Mottaleb and Qiong Zhang and Naoki Masuda},
Water distribution networks (WDNs) expand their service areas over time. These growth dynamics are poorly understood. One facet of WDNs is that they have loops in general, and closing loops may be a functionally important process for enhancing their robustness and efficiency. We propose a growth model for WDNs which generates networks with loops and is applicable to networks with multiple water sources. We apply the proposed model to four empirical WDNs to show that it produces networks whose… Expand

Figures and Tables from this paper


WaterNetGen: an EPANET extension for automatic water distribution network models generation and pipe sizing
This paper focuses on the generation of synthetic models of water distribution networks (WDN). Models are widely used in many fields related with WDN planning and operation. Therefore, the mainExpand
Modeling complexity in engineered infrastructure system: Water distribution network as an example.
To model the growth of water distribution networks, a complex network model was developed following the combination of local optimization rules and engineering considerations and can generate a water distribution network similar to reported real-world WDNs on some structural properties. Expand
Complex network analysis of water distribution systems
This paper explores a variety of strategies for understanding the formation, structure, efficiency, and vulnerability of water distribution networks as spatially organized networks for which the practical applications of abstract evaluation methods are critically evaluated. Expand
Water distribution networks optimization considering unknown flow directions and pipe diameters
A disjunctive Mixed Integer NonLinear Programming (MINLP) model is proposed for the synthesis of WDN considering unknown flow directions and results show that the global optima WDN cost with the correct flow directions is obtained for the studied cases without the necessity of using additional software to calculate pressure drops and velocities in the pipes. Expand
Damage and fluctuations induce loops in optimal transport networks.
Inspired by leaf venation, this work studies two possible reasons for the existence of a high density of loops in transport networks: resilience to damage and fluctuations in load. Expand
Systematic generation of virtual networks for water supply
[1] Building theories from case studies is a common research approach that can also be applied to the analysis of networks. Although case studies of real systems bridge the gap between theory andExpand
Biological solutions to transport network design
Fungal networks demonstrate that indeterminate, decentralized systems can yield highly adaptive networks and achieve the seemingly competing goals of efficient transport and robustness, with decreasing relative investment, by selective reinforcement and recycling of transport pathways. Expand
Optimal design of water distribution networks
The solution is found using an iterative method which considers that the most economical distribution system is always an open network, and has been applied to a complex network and has introduced acceptable computer times. Expand
Automatic generation of water distribution systems based on GIS data
A new algorithm is presented that generates WDSs from GIS using population density, housing density and elevation as input data and it is shown that the resulting WDS are comparable to actual systems in terms of network properties and hydraulic performance. Expand
HydroGen: an Artificial Water Distribution Network Generator
The tool, called HydroGen, can generate WDNs of arbitrary size and varying characteristics in EPANET or GraphML format and is used to generate an extensive library of realistic test networks on which (metaheuristic) methods for the optimisation of WDN design can be tested, allowing researchers in this area to run sensitivity analyses and to draw conclusions on the robustness and performance of their methods. Expand