Non-Revenue water ratio prediction with serial triple diagram model

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Kiziloz B., Sisman E.

WATER SUPPLY, vol.21, no.8, pp.4263-4275, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 21 Issue: 8
  • Publication Date: 2021
  • Doi Number: 10.2166/ws.2021.173
  • Journal Name: WATER SUPPLY
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Compendex, EMBASE, Environment Index, Geobase, ICONDA Bibliographic, Pollution Abstracts, Veterinary Science Database, Directory of Open Access Journals
  • Page Numbers: pp.4263-4275
  • Keywords: Kriging, NRW Ratio, Serial Triple Diagram Model, water distribution network, water management, ARTIFICIAL NEURAL-NETWORK, OPERATING PRESSURE, METHODOLOGY, MANAGEMENT, REDUCTION, DMAS
  • Yıldız Technical University Affiliated: No

Abstract

Water administrations attempt to control the Non-Revenue Water Ratio (NRWR) values in sustainable and well-performing water distribution infrastructures. In this respect, the NRWR value prediction through appropriate models over a small number of controllable variables is significant. The collection, monitoring, and predictions of data on variables that are used in the NRWR calculations are not practical and required significant time besides financial resources. In this study, the NRWR predictions have been made through the suggested method over three parameters. The model prediction accuracies, in the literature obtained by using the Triple Diagram Model (TDM) over two parameters, have been increased through the Serial Triple Diagram Model (STDM) suggested in this study. This method shows that better predictions are possible in the NRWR modeling. Thanks to the model applications developed in this study, water administrations can make predictions with the least error (less than 10% relative error) and certain variables, according to the characteristics of each water distribution network.