Prioritization of non-revenue water reduction scenarios using a risk-based group decision-making approach
Autor: | Niousha Rasi Faghihi, Reza Heydarzadeh, Bardia Roghani, Abbas Roozbahani, Sattar Salehi, Massoud Tabesh |
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Rok vydání: | 2020 |
Předmět: |
Environmental Engineering
010504 meteorology & atmospheric sciences Operations research Computer science 0208 environmental biotechnology Analytic hierarchy process TOPSIS 02 engineering and technology Multiple-criteria decision analysis 01 natural sciences Fuzzy logic 020801 environmental engineering Group decision-making Reduction (complexity) Decision matrix Environmental Chemistry Non-revenue water Safety Risk Reliability and Quality 0105 earth and related environmental sciences General Environmental Science Water Science and Technology |
Zdroj: | Stochastic Environmental Research and Risk Assessment. 34:1713-1724 |
ISSN: | 1436-3259 1436-3240 |
Popis: | This study investigates the effectiveness of the reduction policies of the apparent and real losses of non-revenue water. For this purpose, using technique for order of preference by similarity to ideal solution (TOPSIS) model, a decision matrix is proposed, involving apparent and real losses risk reduction values induced by the implementation of each non-revenue water reduction policy. First, decision criteria, including technical, economic, and social criteria, were selected and introduced. Then, the technical criterion was calculated using a fuzzy Bayesian model. In the following, using group decision-making and analytic hierarchy process method, the criteria were weighted. In the next step, the bests of decision criteria were determined by the TOPSIS method. This method was applied in the water distribution network of district 4 of Tehran, Iran. The results indicated that the most basic non-revenue water reduction policy by risk-based group decision-making is to identify unauthorized connections in the apparent water loss sector and increase the speed and quality of maintenance and repairs in the real water loss sector. |
Databáze: | OpenAIRE |
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