IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v36y2022i15d10.1007_s11269-022-03337-4.html
   My bibliography  Save this article

Novel Eulerian Approach with Cellular Automata Modelling to Estimate Water Quality in a Drinking Water Network

Author

Listed:
  • M. A. Bonora

    (NTT DATA Italia S.p.A.)

  • G. Capano

    (Green HoMe S.C.Ar.L)

  • A. Rango

    (University of Calabria)

  • Mario Maiolo

    (University of Calabria)

Abstract

The forecast analysis of the exposure to the contamination risk in a water distribution network requires increasing the quality of the applied input/outputs modeling. This need involves using non-traditional models responding to the increasingly high computation requirements. In this scenario, the Cellular Automata paradigm represents a new frontier with considerable potential. Specifically, this paper describes the Eulerian Water quAlity Modeling—Cellular Automata (EWAM-CA) model, aimed at simulating the sodium hypochlorite (chlorine) injection, transport, and reaction phase in a medium-sized drinking water network. The EWAM-CA accuracy was compared with the Epanet software on a Fossolo water network, in Bologna town (Italy), considering a constant and an impulsive input respectively. Due to CA's intrinsic aptitude for parallel computing, a parallel version of EWAM-CA was developed. Moreover, using the capability of the cellular automata to manage the modeling asynchronously, improving the computational efficiency, we propose a novel approach based on activation/deactivation asynchronous rules, avoiding unnecessary calculations in nodes or pipes where no pollution occurs. The different EWAM-CA versions were compared for the case study, and the parallel EWAM-CA approach coupled with asynchronous functionality significantly improved computational performance.

Suggested Citation

  • M. A. Bonora & G. Capano & A. Rango & Mario Maiolo, 2022. "Novel Eulerian Approach with Cellular Automata Modelling to Estimate Water Quality in a Drinking Water Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5961-5976, December.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:15:d:10.1007_s11269-022-03337-4
    DOI: 10.1007/s11269-022-03337-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-022-03337-4
    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/s11269-022-03337-4?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. Mohammad Hadi Afshar & R. Hajiabadi, 2018. "A Novel Parallel Cellular Automata Algorithm for Multi-Objective Reservoir Operation Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 785-803, January.
    2. Alessandro Pagano & Raffaele Giordano & Michele Vurro, 2021. "A Decision Support System Based on AHP for Ranking Strategies to Manage Emergencies on Drinking Water Supply Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 613-628, January.
    3. Michele Grimaldi & Monica Sebillo & Giuliana Vitiello & Vincenzo Pellecchia, 2020. "Planning and Managing the Integrated Water System: A Spatial Decision Support System to Analyze the Infrastructure Performances," Sustainability, MDPI, vol. 12(16), pages 1-24, August.
    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. Ali Zarei & Sayed-Farhad Mousavi & Madjid Eshaghi Gordji & Hojat Karami, 2019. "Optimal Reservoir Operation Using Bat and Particle Swarm Algorithm and Game Theory Based on Optimal Water Allocation among Consumers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(9), pages 3071-3093, July.
    2. Silvia Barbetta & Bianca Bonaccorsi & Stavroula Tsitsifli & Ivana Boljat & Papakonstantinou Argiris & Jasmina Lukač Reberski & Christian Massari & Emanuele Romano, 2022. "Assessment of Flooding Impact on Water Supply Systems: A Comprehensive Approach Based on DSS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(14), pages 5443-5459, November.
    3. Hamid Reza Yavari & Amir Robati, 2021. "Developing Water Cycle Algorithm for Optimal Operation in Multi-reservoirs Hydrologic System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2281-2303, June.
    4. Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2021. "A decision support system to design water supply and sewer pipes replacement intervention programs," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    5. Gabriella Graziuso & Simona Mancini & Antonella Bianca Francavilla & Michele Grimaldi & Claudio Guarnaccia, 2021. "Geo-Crowdsourced Sound Level Data in Support of the Community Facilities Planning. A Methodological Proposal," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    6. Fatemeh Barzegari Banadkooki & Jan Adamowski & Vijay P. Singh & Mohammad Ehteram & Hojat Karami & Sayed Farhad Mousavi & Saeed Farzin & Ahmed EL-Shafie, 2020. "Crow Algorithm for Irrigation Management: A Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1021-1045, February.
    7. Shen, Jianjian & Cheng, Chuntian & Wang, Sen & Yuan, Xiaoye & Sun, Lifei & Zhang, Jun, 2020. "Multiobjective optimal operations for an interprovincial hydropower system considering peak-shaving demands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    8. Zengchuan Dong & Xiaokuan Ni & Mufeng Chen & Hongyi Yao & Wenhao Jia & Jiaxing Zhong & Li Ren, 2021. "Time-varying Decision-making Method for Multi-objective Regulation of Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3411-3430, August.
    9. B. Deb Nath & C. J. Schuster-Wallace & S. E. Dickson-Anderson, 2022. "Headwater-to-consumer Drinking Water Security Assessment Framework and Associated Indicators for Small Communities in High-income Countries," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(3), pages 805-834, February.

    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:36:y:2022:i:15:d:10.1007_s11269-022-03337-4. 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.