IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v34y2020i1d10.1007_s11269-019-02388-4.html
   My bibliography  Save this article

Locating of Probabilistic Leakage Areas in Water Distribution Networks by a Calibration Method Using the Imperialist Competitive Algorithm

Author

Listed:
  • Reza Moasheri

    (Shahid Beheshti University)

  • Mohammadreza Jalili-Ghazizadeh

    (Shahid Beheshti University)

Abstract

Leakages in water distribution networks (WDNs), in addition to water loss, causes more problems such as water pollution and land subsidence. In this paper, a new method is proposed to determine the leaky areas in WDNs. At first, a WDN is divided into several virtual areas. Then, while leakage is considered as an additional demand of nodes, the simultaneous calibration of the demands and the roughness coefficient of pipes is carried out by the imperialist competitive algorithm (ICA). Finally, the leakage probability of each area is estimated. The proposed method was implemented in a model water network with three scenarios (one, two and six simultaneous leakages, respectively) and a real water network, with two different leaky scenarios. The results showed that the proposed algorithm can correctly predict the location of multi simultaneous leakages considering their values priority. However, with increasing the number of simultaneous leakages, the ability of the used optimization algorithm (ICA) was reduced as for the studied model network, the average errors of the roughness coefficient of pipes for the three scenarios were approximate 2.3, 3.2, and 4.5%, respectively. The proposed method can be utilized by water utilities for locating leaky areas.

Suggested Citation

  • Reza Moasheri & Mohammadreza Jalili-Ghazizadeh, 2020. "Locating of Probabilistic Leakage Areas in Water Distribution Networks by a Calibration Method Using the Imperialist Competitive Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 35-49, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:1:d:10.1007_s11269-019-02388-4
    DOI: 10.1007/s11269-019-02388-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-019-02388-4
    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/s11269-019-02388-4?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. Lipowski, Adam & Lipowska, Dorota, 2012. "Roulette-wheel selection via stochastic acceptance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2193-2196.
    2. Mauro Marchis & Barbara Milici, 2019. "Leakage Estimation in Water Distribution Network: Effect of the Shape and Size Cracks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1167-1183, February.
    3. Erfan Hajibandeh & Sara Nazif, 2018. "Pressure Zoning Approach for Leak Detection in Water Distribution Systems Based on a Multi Objective Ant Colony Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2287-2300, May.
    4. van den Berg, Caroline, 2015. "Drivers of non-revenue water: A cross-national analysis," Utilities Policy, Elsevier, vol. 36(C), pages 71-78.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Irene Marzola & Stefano Alvisi & Marco Franchini, 2022. "A Comparison of Model-Based Methods for Leakage Localization 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. 36(14), pages 5711-5727, November.
    2. Shipeng Chu & Tuqiao Zhang & Xinhong Zhou & Tingchao Yu & Yu Shao, 2022. "An Efficient Approach for Nodal Water Demand Estimation in Large-scale Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(2), pages 491-505, January.
    3. L. Berardi & O. Giustolisi, 2021. "Calibration of Design Models for Leakage Management of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2537-2551, June.
    4. Pham Duc Dai, 2023. "A Real Time Optimization Based Sequential Convex Program for Pressure Management 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(12), pages 4751-4768, September.

    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. 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.
    2. Chen, Enming & Zhou, Zhongbao & Li, Ruiyang & Chang, Zhongxiang & Shi, Jianmai, 2024. "The multi-fleet delivery problem combined with trucks, tricycles, and drones for last-mile logistics efficiency requirements under multiple budget constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    3. Andrés Alfonso Rosales-Muñoz & Luis Fernando Grisales-Noreña & Jhon Montano & Oscar Danilo Montoya & Alberto-Jesus Perea-Moreno, 2021. "Application of the Multiverse Optimization Method to Solve the Optimal Power Flow Problem in Direct Current Electrical Networks," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    4. Tungom, Chia E. & Wang, Hong & Beata, Kamuya & Niu, Ben, 2024. "SWOAM: Swarm optimized agents for energy management in grid-interactive connected buildings," Energy, Elsevier, vol. 301(C).
    5. Xianbo Xiang & Caoyang Yu & He Xu & Stuart X. Zhu, 2018. "Optimization of Heterogeneous Container Loading Problem with Adaptive Genetic Algorithm," Complexity, Hindawi, vol. 2018, pages 1-12, November.
    6. Şişman, Eyüp & Kızılöz, Burak, 2020. "Trend-risk model for predicting non-revenue water: An application in Turkey," Utilities Policy, Elsevier, vol. 67(C).
    7. Hu, Yusha & Li, Jigeng & Hong, Mengna & Ren, Jingzheng & Lin, Ruojue & Liu, Yue & Liu, Mengru & Man, Yi, 2019. "Short term electric load forecasting model and its verification for process industrial enterprises based on hybrid GA-PSO-BPNN algorithm—A case study of papermaking process," Energy, Elsevier, vol. 170(C), pages 1215-1227.
    8. Mehmet Burak Şenol & Ekrem Alper Murat, 2023. "A sequential solution heuristic for continuous facility layout problems," Annals of Operations Research, Springer, vol. 320(1), pages 355-377, January.
    9. Li, Zerun & Liu, Wei & Wang, Jincheng & Xiong, Kezhao & Di, Zengru, 2024. "Weakening and disappearance of the jaming behavior in systems of self-propelled particles," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).
    10. Reza Ghanbari & Khatere Ghorbani-Moghadam & Nezam Mahdavi-Amiri, 2021. "A time variant multi-objective particle swarm optimization algorithm for solving fuzzy number linear programming problems using modified Kerre’s method," OPSEARCH, Springer;Operational Research Society of India, vol. 58(2), pages 403-424, June.
    11. Xiang Xie & Dibo Hou & Xiaoyu Tang & Hongjian Zhang, 2019. "Leakage Identification in Water Distribution Networks with Error Tolerance Capability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(3), pages 1233-1247, February.
    12. Ahmed A. Ewees & Mohammed A. A. Al-qaness & Laith Abualigah & Diego Oliva & Zakariya Yahya Algamal & Ahmed M. Anter & Rehab Ali Ibrahim & Rania M. Ghoniem & Mohamed Abd Elaziz, 2021. "Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model," Mathematics, MDPI, vol. 9(18), pages 1-22, September.
    13. Liu, Wenqian & Ke, Ginger Y. & Chen, Jian & Zhang, Lianmin, 2020. "Scheduling the distribution of blood products: A vendor-managed inventory routing approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    14. L. Berardi & O. Giustolisi, 2021. "Calibration of Design Models for Leakage Management of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2537-2551, June.
    15. Ziqi Wang & Peihan Wen, 2020. "Optimization of a Low-Carbon Two-Echelon Heterogeneous-Fleet Vehicle Routing for Cold Chain Logistics under Mixed Time Window," Sustainability, MDPI, vol. 12(5), pages 1-22, March.
    16. Sara Azargashb Lord & Seied Mehdy Hashemy Shahdany & Abbas Roozbahani, 2021. "Minimization of Operational and Seepage Losses in Agricultural Water Distribution Systems Using the Ant Colony Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(3), pages 827-846, February.
    17. Shugang Li & Yanfang Wei & Xin Liu & He Zhu & Zhaoxu Yu, 2022. "A New Fast Ant Colony Optimization Algorithm: The Saltatory Evolution Ant Colony Optimization Algorithm," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    18. Zaidi, I. & Oulamara, A. & Idoumghar, L. & Basset, M., 2024. "Minimizing grid capacity in preemptive electric vehicle charging orchestration: Complexity, exact and heuristic approaches," European Journal of Operational Research, Elsevier, vol. 312(1), pages 22-37.
    19. Bako Kinga-Erzsebet & Fulop Arpad-Zoltan, 2017. "Profitability And Efficiency Analysis In Water And Sewerage Sector In Romania," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 96-102, August.
    20. Rejeesh Rayaroth & Sivaradje G, 2019. "Random Bagging Classifier and Shuffled Frog Leaping Based Optimal Sensor Placement for Leakage Detection in WDS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3111-3125, 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:34:y:2020:i:1:d:10.1007_s11269-019-02388-4. 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.