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Automatic Generation of Water Distribution Networks Using Central Street Lines

Author

Listed:
  • Artemisa Fontinele Frota

    (Federal University of Ceará)

  • Luis Henrique Magalhães Costa

    (Vale Do Acaraú State University)

  • José Nilton Abreu Costa

    (Vale Do Acaraú State University)

  • Marco Aurélio Holanda Castro

    (Federal University of Ceará)

Abstract

This paper introduces a dedicated algorithm for the automatic generation of water distribution network (WDN) layouts in EPANET, utilizing exclusively the street layout information contained in CAD files. The methodology involves reading and converting all elements constituting street boundaries into lines, which are then mathematically processed through parametric equations of lines. Subsequently, the central street lines are extracted and extended to generate intersection points. These points are then employed to define the network nodes, and, upon verifying connectivity among them, the pipes are automatically generated. The model's efficacy was evaluated on two distinct street layouts, and for both, the algorithm exhibited satisfactory results, automatically generating 100% of the network layout in EPANET input file. The model demonstrated swift performance for the considered layouts, with an average execution time of only 0.30 s. Furthermore, a comparison was conducted with the results obtained by the model proposed by Costa and Rodrigues (Water Resour Manage 35:1299–1319, 2021), with the performance of the model proposed in this work proving superior in both layout quality and computational time.

Suggested Citation

  • Artemisa Fontinele Frota & Luis Henrique Magalhães Costa & José Nilton Abreu Costa & Marco Aurélio Holanda Castro, 2024. "Automatic Generation of Water Distribution Networks Using Central Street Lines," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(4), pages 1225-1240, March.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:4:d:10.1007_s11269-023-03717-4
    DOI: 10.1007/s11269-023-03717-4
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    References listed on IDEAS

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    1. Gustavo Paiva Weyne Rodrigues & Luis Henrique Magalhães Costa & Guilherme Marques Farias & Marco Aurélio Holanda Castro, 2019. "A Depth-First Search Algorithm for Optimizing the Gravity Pipe Networks Layout," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4583-4598, October.
    2. Baorui Han & Dazhi Sun & Xiaomei Yu & Wanlu Song & Lisha Ding, 2020. "Classification of Urban Street Networks Based on Tree-Like Network Features," Sustainability, MDPI, vol. 12(2), pages 1-13, January.
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