IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v38y2024i4d10.1007_s11269-024-03738-7.html
   My bibliography  Save this article

A Novel Strategic Water Loss Management Model and Its Optimization with Harris Hawk Algorithm

Author

Listed:
  • Cansu Bozkurt

    (Ardahan University)

  • Abdullah Ates

    (Inonu University)

  • Mahmut Fırat

    (Inonu University)

  • Salih Yılmaz

    (Çankırı Karatekin University)

  • Özgür Özdemir

    (Adiyaman University)

Abstract

Water loss management (WLM) in water distribution systems (WDSs) is generally time consuming, costly and difficult. Therefore, the most appropriate methodology should be defined based on the current status, requirements and technical capacity of the utilities. In this study, a novel WLM model was developed to improve the WLM practices, to define the most appropriate and applicable targets and to determine the components that need to be improved primarily using the Harris Hawk Optimization (HHO) algorithm. Firstly, a total of 144 components in the CSAS proposed by Bozkurt et al. (Welcome Sigma J Eng Natural Sci 40:1–13, 2022b) are scored in three utilities. The averages of current scores in utilities are 3.4167, 2.9792 and 1.1597, respectively. Then the most appropriate targets were defined with the optimization algorithm by considering the current situation and the dynamic structure of utility. The target scores defined by optimization model in utilities are 4.4097, 4.3958 and 3.2292, respectively. This novel model will contribute to the prevention of time-consuming and costly processes by determining the most appropriate progress. It is thought that this study will provide significant benefits for creating a road map for practitioners in WLM.

Suggested Citation

  • Cansu Bozkurt & Abdullah Ates & Mahmut Fırat & Salih Yılmaz & Özgür Özdemir, 2024. "A Novel Strategic Water Loss Management Model and Its Optimization with Harris Hawk Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(4), pages 1543-1561, March.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:4:d:10.1007_s11269-024-03738-7
    DOI: 10.1007/s11269-024-03738-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-024-03738-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11269-024-03738-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bárbara Brzezinski Azevedo & Tarcísio Abreu Saurin, 2018. "Losses in Water Distribution Systems: A Complexity Theory Perspective," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 2919-2936, July.
    2. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    3. Elias Farah & Isam Shahrour, 2017. "Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4821-4833, 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. Carlo Giudicianni & Manuel Herrera & Armando Nardo & Kemi Adeyeye, 2020. "Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 835-848, January.
    2. Allison Lassiter & Nicole Leonard, 2022. "A systematic review of municipal smart water for climate adaptation and mitigation," Environment and Planning B, , vol. 49(5), pages 1406-1430, June.
    3. Aditya Gupta & K. D. Kulat, 2018. "A Selective Literature Review on Leak Management Techniques for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(10), pages 3247-3269, August.
    4. Jing Cheng & Sen Peng & Rui Cheng & Xingqi Wu & Xu Fang, 2022. "Burst Area Identification of Water Supply Network by Improved DenseNet Algorithm with Attention Mechanism," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5425-5442, November.
    5. Koo, A Mi & Kim, Ju-Hee & Yoo, Seung-Hoon, 2022. "Household willingness to pay for a smart water metering and monitoring system: The case of South Korea," Utilities Policy, Elsevier, vol. 79(C).
    6. Zukang Hu & Wenlong Chen & Beqing Chen & Debao Tan & Yu Zhang & Dingtao Shen, 2021. "Robust Hierarchical Sensor Optimization Placement Method for Leak Detection in Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 3995-4008, September.
    7. Yu Shao & Yanxi Yu & Tingchao Yu & Shipeng Chu & Xiaowei Liu, 2019. "Leakage Control and Energy Consumption Optimization in the Water Distribution Network Based on Joint Scheduling of Pumps and Valves," Energies, MDPI, vol. 12(15), pages 1-18, August.
    8. Moslehi, Iman & Jalili Ghazizadeh, Mohammadreza & Yousefi-Khoshqalb, Ehsan, 2020. "An economic valuation model for alternative pressure management schemes in water distribution networks," Utilities Policy, Elsevier, vol. 67(C).
    9. Chi Zhang & Martin F. Lambert & Jinzhe Gong & Aaron C. Zecchin & Angus R. Simpson & Mark L. Stephens, 2020. "Bayesian Inverse Transient Analysis for Pipeline Condition Assessment: Parameter Estimation and Uncertainty Quantification," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2807-2820, July.
    10. Juan Li & Ying Wu & Wenjun Zheng & Changgang Lu, 2021. "A Model-Based Bayesian Framework for Pipeline Leakage Enumeration and Location Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4381-4397, October.
    11. Aditya Dinesh Gupta & Prerna Pandey & Andrés Feijóo & Zaher Mundher Yaseen & Neeraj Dhanraj Bokde, 2020. "Smart Water Technology for Efficient Water Resource Management: A Review," Energies, MDPI, vol. 13(23), pages 1-23, November.
    12. Jinzhe Gong & Martin F. Lambert & Mark L. Stephens & Benjamin S. Cazzolato & Chi Zhang, 2020. "Detection of Emerging through-Wall Cracks for Pipe Break Early Warning in Water Distribution Systems Using Permanent Acoustic Monitoring and Acoustic Wave Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(8), pages 2419-2432, June.
    13. Konstantinos Glynis & Zoran Kapelan & Martijn Bakker & Riccardo Taormina, 2023. "Leveraging Transfer Learning in LSTM Neural Networks for Data-Efficient Burst Detection in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(15), pages 5953-5972, December.
    14. Mohanaprasad Kothandaraman & Zijian Law & Morris A. G. Ezra & Chang Hong Pua & Uma Rajasekaran, 2022. "Water Pipeline Leak Measurement Using Wavelet Packet-based Adaptive ICA," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1973-1989, April.
    15. Caterina Capponi & Silvia Meniconi & Pedro J. Lee & Bruno Brunone & Marco Cifrodelli, 2020. "Time-domain Analysis of Laboratory Experiments on the Transient Pressure Damping in a Leaky Polymeric Pipe," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 501-514, January.
    16. Tariq Judeh & Isam Shahrour & Fadi Comair, 2022. "Smart Rainwater Harvesting for Sustainable Potable Water Supply in Arid and Semi-Arid Areas," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    17. Nacer Farajzadeh & Nima Sadeghzadeh & Nastaran Jokar, 2024. "Water distribution pipe lifespans: Predicting when to repair the pipes in municipal water distribution networks using machine learning techniques," PLOS Water, Public Library of Science, vol. 3(1), pages 1-16, January.
    18. Tianwei Mu & Yaqi Li & Ziyi Li & Luyue Wang & Haoqiang Tan & Chengzhi Zheng, 2021. "Improved Network Reliability Optimization Model with Head Loss for Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(7), pages 2101-2114, May.
    19. Wang Pengfei & Jiang Zhiqiang & Duan Jiefeng, 2023. "Burst Analysis of Water Supply Pipe Based on Hydrodynamic Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2161-2179, March.
    20. Ayse Muhammetoglu & Yalçın Albayrak & Mustafa Bolbol & Simge Enderoglu & Habib Muhammetoglu, 2020. "Detection and Assessment of Post Meter Leakages in Public Places Using Smart Water Metering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2989-3002, July.

    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:spr:waterr:v:38:y:2024:i:4:d:10.1007_s11269-024-03738-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.