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Toplam kayıt 5, listelenen: 1-5
Predicting a water infrastructure leakage index via machine learning
(Elsevier Ltd, 2022)
In this study, the infrastructure leakage index (ILI) indicator that is preferred frequently by the water utilities with sufficient data to determine the performances of water distribution systems is modeled for the first ...
Trend-risk model for predicting non-revenue water: An application in Turkey
(Elsevier Science Ltd, 2020)
Reducing non-revenue water (NRW) is one of the most significant strategies for the effective management of water resources. Efforts to reduce NRW and losses are also critical for planning the future budgets of water ...
Artificial neural network system analysis and Kriging methodology for estimation of non-revenue water ratio
(IWA Publishing, 2020)
The non-revenue water (NRW) ratio parameter is significantly important for performance evaluation of water distribution systems. In order to evaluate the NRW ratio, the variables influencing this parameter should be ...
The application of piecewise ITA method in Oxford, 1870-2019
(Springer Wien, 2021)
In this study, the trends, stabilities of temperature, and rainfall data have been analyzed in detail for hydrometeorology time series recorded since 1870 in Oxford city in England. The innovative trend analysis (ITA) ...
Exceedance probabilities of non-revenue water and performance analysis
(Springer, 2021)
Water utilities evaluate the water distribution system performances by taking various performance indicators into consideration. However, it is necessary to digitize the current network characteristics and to provide ...