Journal of Hydroinformatics (May 2021)

Interactive decision support methodology for near real-time response to failure events in a water distribution network

  • E. Nikoloudi,
  • M. Romano,
  • F. A. Memon,
  • Z. Kapelan

DOI
https://doi.org/10.2166/hydro.2020.101
Journal volume & issue
Vol. 23, no. 3
pp. 483 – 499

Abstract

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The present study proposes a new interactive methodology and an interactive tool for the response to water network failure events facilitating near real-time decision-making. The proposed methodology considers: (i) a structured yet flexible approach supporting and guiding the operator throughout the entire response process to water network failure events, while allowing the operator to have a final say; (ii) a novel interaction with the operator in near real time via the proposed tool (e.g. allowing operators to propose different ‘what-if’ scenarios without being hydraulic experts); (iii) the provision of automatically generated advice (e.g. optimal response solutions and assessed end-impacts) – although optimal response solutions not identified in near real time yet; and (iv) improved impact assessment using realistic impact indicators that cover different aspects of the event – which are consistently calculated for every proposed response solution (to facilitate easy comparison between different response solutions). The new methodology was applied on a semi-real case study. The results obtained demonstrated the potential of the new response methodology and its application through the interactive tool to improve water utilities' current practice. This was accomplished through supporting/guiding operators in the identification of effective response solutions with low end-impact on the consumers and low cost for the utility. HIGHLIGHTS Novel structured overall response methodology supporting operators throughout the whole response process.; Improved impact assessment.; Realistic selection of operational interventions (based on operational costs, the availability of different types of interventions, etc.).; Novel near real-time interaction with the control room operator (manual ‘what-if’ scenarios and automatic optimal solutions).;

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