IDEAS home Printed from https://ideas.repec.org/a/bhx/ojijce/v7y2025i21p12-31id3095.html
   My bibliography  Save this article

Optimization of the Kawe DMA Water Network Using Genetic Algorithms: A Pathway to achieve UN SDG 6

Author

Listed:
  • Lazaro Kisiri

  • William Senkondo

Abstract

Purpose: This study aims to develop a cost-effective and pressure-resilient pipe replacement strategy for the Kawe District Metered Area (DMA) in Dar es Salaam, Tanzania, to improve hydraulic performance amid aging infrastructure and shifting demand in urban water networks. Methodology: A Multi-Objective Genetic Algorithm (MOGA) was used to generate pipe layouts balancing investment cost and hydraulic performance. Optimization and EPANET-based pressure evaluations were executed in Python for integrated modeling and analysis. Alternatives were screened using multi-criteria evaluation based on reliability, cost-efficiency and feasibility. Sensitivity analysis tested robustness under 10% demand growth and 30% cost escalation. Findings: The process yielded 38 Pareto-optimal layouts with nine selected for detailed review. All selected designs maintained minimum pressures above 5 m. The benchmark layout, involving two pipe replacements of total length of 0.409 km, achieved pressures of 9.87 m and 16.29 m at key junctions at a cost of TSh 19.08 million. Under sensitivity scenarios it sustained pressures above 8.66 m and 14.83 m without redesign. Unique Contribution to Theory, Policy and Practice: This study contributes a scalable, pressure-aware planning framework integrating hydraulic modeling with evolutionary optimization. Theoretically, it advances multi-criteria decision-making in water infrastructure design. Practically, it equips utility planners with a data-driven tool for cost-efficient reinforcement of urban water networks. Policy-wise, it supports strategic investment planning aligned with Sustainable Development Goal 6, promoting equitable and resilient water service delivery.

Suggested Citation

  • Lazaro Kisiri & William Senkondo, 2025. "Optimization of the Kawe DMA Water Network Using Genetic Algorithms: A Pathway to achieve UN SDG 6," International Journal of Computing and Engineering, CARI Journals Limited, vol. 7(21), pages 12-31.
  • Handle: RePEc:bhx:ojijce:v:7:y:2025:i:21:p:12-31:id:3095
    as

    Download full text from publisher

    File URL: https://carijournals.org/journals/IJCE/article/view/3095
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tarekegn Kuma & Brook Abate, 2021. "Evaluation of Hydraulic Performance of Water Distribution System for Sustainable Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5259-5273, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Emilio Ruiz & Sarai Díaz & Javier González, 2022. "Potential Performance of Hydraulic State Estimation in Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 745-762, January.
    2. Panagiota Galiatsatou & Panagiota Stournara & Ioannis Kavouras & Michail Raouzaios & Christos Anastasiadis & Filippos Iosifidis & Dimitrios Spyrou & Alexandros Mentes, 2025. "Combining Geographic Information Systems and Hydraulic Modeling to Analyze the Hydraulic Response of an Urban Area Under Different Conditions: A Case Study to Assist Engineering Practice," Geographies, MDPI, vol. 5(2), pages 1-25, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bhx:ojijce:v:7:y:2025:i:21:p:12-31:id:3095. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chief Editor (email available below). General contact details of provider: https://carijournals.org/journals/IJCE/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.