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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    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.
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