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Non-revenue water ratio prediction with serial triple diagram model
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. HIGHLIGHTS The variables and combinations which have an impact on the prediction of NRW ratios have been researched by using the Serial Triple Diagram Models.; Kriging method has been used in this study for NRW ratio prediction.; This model product is the best in the literature for NRW ratio predictions.;
Non-revenue water ratio prediction with serial triple diagram model
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. HIGHLIGHTS The variables and combinations which have an impact on the prediction of NRW ratios have been researched by using the Serial Triple Diagram Models.; Kriging method has been used in this study for NRW ratio prediction.; This model product is the best in the literature for NRW ratio predictions.;
Non-revenue water ratio prediction with serial triple diagram model
Burak Kızılöz (author) / Eyüp Şişman (author)
2021
Article (Journal)
Electronic Resource
Unknown
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