Prioritization of non-revenue water reduction scenarios using a risk-based group decision-making approach

Tabesh, Massoud; Roozbahani, Abbas; Roghani, Bardia; Salehi, Sattar; Faghihi, Niousha Rasi; Heydarzadeh, Reza

doi:10.1007/s00477-020-01858-1

Cited by 3 publications

(1 citation statement)

References 38 publications

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“…The AHP and ELECTRE II methods were combined to weight the criteria and rank the systems. Tabesh et al (2020) used the TOPSIS method to investigate the effectiveness of the reduction policies for the apparent and real losses of non-revenue water. Dortaj et al (2020) applied multicriteria decision-making methodse.g., AHP, ANP, TOPSIS and ELECTREto select suitable construction sites for subsurface dams.…”

Section: Graphical Abstract Introductionmentioning

confidence: 99%

Identification of priority areas for rehabilitation in wastewater systems using ENTROPY, ELECTRE and TOPSIS

Orhan

Fırat

Yılmaz

2022

Water Practice and Technology

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Wastewater system failures cause operating conditions to deteriorate. Therefore, risk factors should be identified and rehabilitation priority should be established by considering all factors. Determining the rehabilitation priority areas is very important in terms of public health, service quality and operating cost. The aim of this study, which was carried out in Malatya, Turkey, was to determine rehabilitation priority in wastewater systems by integrating ENTROPY, ELECTRE and TOPSIS methods. Some 26 physical, hydraulic, operating and cost factors were considered. The factor weightings were determined by the ENTROPY method to define the factors’ contributions, based on the field data. Rehabilitation priorities were then determined separately using ELECTRE and TOPSIS, taking the factor weights and field data into consideration. Priority regions in rehabilitation were obtained similar according to both methods. The results obtained will provide a reference for wastewater system management and determination of rehabilitation priorities.

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Section: Graphical Abstract Introductionmentioning

confidence: 99%