Chung & Lee (2009)Chung, E. S., & Lee, K. S. (2009). Prioritization of water management for sustain- ability using hydrologic simulation model and multicriteria decision making techniques. Journal of Environmental Management, 90(3), 1502-1511. https://doi.org/10.1016/j.jenvman.2008.10.008. https://doi.org/10.1016/j.jenvman.2008.1...
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Prioritization of water management |
Analytic Hierarchy Process (AHP) |
Five criteria: Driver, Pressure, State, Impact, and Response. Sub criteria were defined in two classes: water quantity and water quality. |
Garfí & Ferrer-Martí (2011)Garfí, M., & Ferrer-Martí, L. (2011). Decision-making criteria and indicators for water and sanitation projects in developing countries. Water Science and Technology, 64(1), 83-101. PMid:22053462. http://dx.doi.org/10.2166/wst.2011.543. http://dx.doi.org/10.2166/wst.2011.543...
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Water and sanitation projects evaluation |
Do not use |
They were classified in 4 main groups: technical (e.g. local resources use, appropriate management); social (e.g. local community participation, overcoming discrimination of conflict); economic (e.g. low cost, employment of local staff) and environmental criteria (e.g. atmospheric emissions, water pollution). |
Garfí et al. (2011)Garfí, M., Ferrer-Martí, L., Bonoli, A., & Tondelli, S. (2011). Multi-criteria analysis for improving strategic environmental assessment of water programmes. A case study in semi-arid region of Brazil. Journal of Environmental Management, 92(3), 665-675. PMid:21035244. http://dx.doi.org/10.1016/j.jenvman.2010.10.007. http://dx.doi.org/10.1016/j.jenvman.2010...
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Environmental assessment of water programmes |
AHP |
They selected two main criteria: (1) General criteria for human development projects (technical, social, environmental and economic criteria - 11 sub criteria) and (2) Technical water supply criteria (12 sub criteria). |
Fontana & Morais (2013)Fontana, M. E., & Morais, D. C. (2013). Using Promethee V to select alternatives so as to rehabilitate water supply network with detected leaks. Water Resources Management, 27(11), 4021-4037. http://dx.doi.org/10.1007/s11269-013-0393-1. http://dx.doi.org/10.1007/s11269-013-039...
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Network rehabilitation |
PROMETHEE V |
Amount of water loss, Implementation cost, Maintenance cost, Runtime, and Reliability time. |
Kim et al. (2013)Kim, Y., Chung, E.-S., Jun, S.-M., & Kim, S. U. (2013). Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS. Resources, Conservation and Recycling, 73, 23-32. http://dx.doi.org/10.1016/j.resconrec.2012.12.009. http://dx.doi.org/10.1016/j.resconrec.20...
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Wastewater |
Fuzzy TOPSIS |
Five criteria: Driver, Pressure, State, Impact, and Response. Sub criteria were defined in two classes: water quantity and water quality. |
Matrosov et al. (2013b)Matrosov, E. S., Woods, A. M., & Harou, J. J. (2013b). Robust decision making and info-gap decision theory for water resource system planning. Journal of Hydrology, 494, 43-58. http://dx.doi.org/10.1016/j.jhydrol.2013.03.006. http://dx.doi.org/10.1016/j.jhydrol.2013...
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Water resources planning |
Robust Decision Making (RDM) and Info-Gap Decision Theory (IGDT) |
Reliability of water supply service, Reservoir storage susceptibility, Environmental performance, Energy consumption, and Total costs. |
Scholten et al. (2014)Scholten, L., Scheidegger, A., Reichert, P., Maurer, M., & Lienert, J. (2014). Strategic rehabilitation planning of piped water networks using multi-criteria decision analysis. Water Research, 49(1), 124-143. PMid:24321248. http://dx.doi.org/10.1016/j.watres.2013.11.017. http://dx.doi.org/10.1016/j.watres.2013....
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Network rehabilitation |
Multi-attribute value model (MAVM) |
Reliability, Intergenerational equity, and Cost |
Azarnivand & Chitsaz (2015)Azarnivand, A., & Chitsaz, N. (2015). Adaptive policy responses to water shortage mitigation in the arid regions—a systematic approach based on eDPSIR, DEMATEL, and MCDA. Environmental Monitoring and Assessment, 187(2), 1-15. PMID: 25626561. http://dx.doi.org/10.1007/s10661-014-4225-4. http://dx.doi.org/10.1007/s10661-014-422...
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Water shortage mitigation |
AHP, eDPSIR and DEMATEL |
Human population growth, Weak enforcement of law and legislation, Erosion, Declining available freshwater resources, Desertification and sand and dust storms, Salinization, Operational feasibility, and Multi-objectivity. |
Fontana & Morais (2015)Fontana, M. E., & Morais, D. C. (2015). Segmentation model for water distribution networks based on the characteristics of consumer units. Production, 25(1), 143-156. http://dx.doi.org/10.1590/S0103-65132013005000071. http://dx.doi.org/10.1590/S0103-65132013...
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Network segmentation |
SMARTER |
Amount of economies (number), Type of economies, Water consumed, and Price tax. |
Scholten et al. (2015)Scholten, L., Schuwirth, N., Reichert, P., & Lienert, J. (2015). Tackling uncertainty in multi-criteria decision analysis - An application to water supply infrastructure planning. European Journal of Operational Research, 242(1), 243-260. https://doi.org/10.1016/j.ejor.2014.09.044. https://doi.org/10.1016/j.ejor.2014.09.0...
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Water supply infrastructure planning |
Multi-attribute utility theory (MAUT) |
Five fundamental objectives: Intergenerational equity, Resources and groundwater protection, Water supply, Social acceptance, and Costs. |
Fontana & Morais (2016)Fontana, M. E., & Morais, D. C. (2016). Decision model to control water losses in distribution networks. Production, 26(4), 688-697. http://dx.doi.org/10.1590/0103-6513.201815. http://dx.doi.org/10.1590/0103-6513.2018...
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Water loss control |
SMARTER and Integer linear programming (ILP) |
Implementation cost, Efficiency, Runtime, Potential reduction in wastewater, Skilled labour to implement, and Lifetime. |
Kumar et al. (2016)Kumar, V., Del Vasto-Terrientes, L., Valls, A., & Schuhmacher, M. (2016). Adaptation strategies for water supply management in a drought prone Mediterranean river basin: application of outranking method. The Science of the Total Environment, 540(1), 344-357. PMid:26277442. http://dx.doi.org/10.1016/j.scitotenv.2015.06.062. http://dx.doi.org/10.1016/j.scitotenv.20...
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Water allocation |
ELECTRE-III-H |
Costs, Water stress, and Environmental impact |
Almeida-Filho et al. (2017)Almeida-Filho, A. T., Monte, M. B. S., & Morais, D. C. (2017). A Voting approach applied to preventive maintenance management of a water supply system. Group Decision and Negotiation, 26(3), 523-546. http://dx.doi.org/10.1007/s10726-016-9512-8. http://dx.doi.org/10.1007/s10726-016-951...
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Network maintenance |
Voting procedure |
System Average Interruption Frequency Index, Reliability, Availability, and Cost per cycle. |
Fontana & Morais (2017)Fontana, M. E., & Morais, D. C. (2017). Water distribution network segmentation based on group multi-criteria decision approach. Production, 27(0), e20162083. http://dx.doi.org/10.1590/0103-6513.208316. http://dx.doi.org/10.1590/0103-6513.2083...
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Network segmentation |
PROMETHEE GDSS |
Implementation cost, Number of segments generated, Water consumed, Difficulty level in implementing and maintaining, Change in network pressure and/or water flow, Type of economies, and Infrastructure impact. |
Ilaya-Ayza et al. (2017)Ilaya-Ayza, A. E., Benítez, J., Izquierdo, J., & Pérez-García, R. (2017). Multi-criteria optimization of supply schedules in intermittent water supply systems. Journal of Computational and Applied Mathematics, 309, 695-703. http://dx.doi.org/10.1016/j.cam.2016.05.009. http://dx.doi.org/10.1016/j.cam.2016.05....
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Water supply schedule |
AHP and ILP |
Pressure, Number of users, Number of supply hours, and Ease of operation of the sectors. |