publication . Article . 2017

Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks

Dongwoo Jang; Gyewoon Choi;
Open Access English
  • Published: 21 Dec 2017 Journal: Water (issn: 2073-4441, Copyright policy)
  • Publisher: MDPI AG
Abstract
The non-revenue water (NRW) ratio in water distribution networks is the ratio of losses from unbilled authorized consumption and apparent and real losses to the total water supply. NRW is an important parameter for prioritizing the improvement of a water distribution system and identifying the influencing parameters. Though the method using multiple regression analysis (MRA) is a statistical analysis method for estimating the NRW ratio using the main parameters of a water distribution system, it has disadvantages in that the accuracy is low compared to the measured NRW ratio. In this study, an artificial neural network (ANN) was applied to estimate the NRW ratio...
Subjects
free text keywords: non-revenue water, multiple regression analysis, artificial neural network, water distribution network, Hydraulic engineering, TC1-978, Water supply for domestic and industrial purposes, TD201-500, Geography, Planning and Development, Aquatic Science, Biochemistry, Water Science and Technology, Distribution networks, Geology, Statistics, Water supply, business.industry, business, Statistical analysis, Distribution system, Regression analysis, Hydrology
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publication . Article . 2017

Estimation of Non-Revenue Water Ratio Using MRA and ANN in Water Distribution Networks

Dongwoo Jang; Gyewoon Choi;