A multi-criteria decision making approach to balance water supply-demand strategies in water supply systems
Cambrainha, Géssica Maria; Fontana, Marcele Elisa
Abstract
Paper aims: this paper proposes a model to aid a group of decision makers to establish a portfolio of feasible actions (alternatives) that are able to balance water supply-demand strategies.
Originality: Long periods of water shortages cause problems in semi-arid region of northeast Brazil, which affects different sectors such as food, public health, among others. This problem situation is intensified by population growth. Therefore, this type of decision making is complex, and it needs to be solving by a structured model.
Research method: The model is based on a problem structuring method (PSM) and a multi-criteria decision making (MCDM) method.
Main findings: Due to society and government influences, the proposed model showed appropriate to conduct a robust and well-structured decision making.
Implications for theory and practice: The main contributions were the study in regions suffering from drought and water scarcity, as well as the combination of PSM and MCDM methods to aid in this problem.
Keywords
References
Abuabara, L., Paucar-Caceres, A., Belderrain, M. C. N., & Burrowes-Cromwell, T. (2017). A systemic framework based on Soft OR approaches to support teamwork strategy: an aviation manufacturer Brazilian company case. Journal of the Operational Research Society, 1-15. http://dx.doi.org/10.1057/s41274-017-0204-9.
Almeida, A. T., Cavalcante, C. A. V., Alencar, M. H., Ferreira, R. J. P., Almeida-Filho, A. T., & Garcez, T. V. (2015). Multicriteria and multiobjective models for risk, reliability and maintenance decision analysis. International Series in Operations Research and Management Science. New York: Springer. https://doi.org/10.1007/978-3-319-17969-8.
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.
Araral, E., & Wang, Y. (2013). Water demand management: review of literature and comparison in South-East Asia. International Journal of Water Resources Development, 29(3), 434-450. http://dx.doi.org/10.1080/07900627.2013.826413.
Arfanuzzaman, M., & Atiq Rahman, A. (2017). Sustainable water demand management in the face of rapid urbanization and ground water depletion for social–ecological resilience building. Global Ecology and Conservation, 10, 9-22. http://dx.doi.org/10.1016/j.gecco.2017.01.005.
Arsiso, B. K., Tsidu, G. M., Stoffberg, G. H., & Tadesse, T. (2017). Climate change and population growth impacts on surface water supply and demand of Addis Ababa, Ethiopia. Climate Risk Management, 18, 21-33. http://dx.doi.org/10.1016/j.crm.2017.08.004.
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.
Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrate approach: an integrated approach. Norwell: Kluwer Academic Publishers. http://dx.doi.org/10.1007/978-1-4615-1495-4.
Boithias, L., Acuna, V., Vergonos, L., Ziv, G., Marce, R., & Sabater, S. (2014). Assessment of the water supply: demand ratios in a Mediterranean basin under different global change scenarios and mitigation alternatives. The Science of the Total Environment, 470–471, 567-577. PMid:24176705. http://dx.doi.org/10.1016/j.scitotenv.2013.10.003.
Brans, J. P., & Mareschal, B. (1992). PROMETHEE V: MCDM problems with segmentation constraints. INFOR, 30(2), 85-86. http://dx.doi.org/10.1080/03155986.1992.11732186.
Brans, J. P., & Mareschal, B. (2009). PROMETHEE methods. In J. R. Figueira, S. Greco & M. Ehrgott (Eds.), Multiple criteria decision analysis: state of the art surveys (pp. 163-195). New York: Springer-Verlag. Retrieved in 2017 July 24, from http://www.springer.com/it/book/9780387230672
Brans, J. P., Vincke, P. H., & Mareschal, B. (1986). How to select and how to rank projects: the PROMETHEE method. European Journal of Operational Research, 24(2), 228-238. http://dx.doi.org/10.1016/0377-2217(86)90044-5.
Brooks, D. B. (2006). An operational definition of water demand management. International Journal of Water Resources Development, 22(4), 521-528. http://dx.doi.org/10.1080/07900620600779699.
Cakmak, E. H., Dudu, H., Eruygur, O., Ger, M., Onurlu, S., & Tonguç, Ö. (2013). Participatory fuzzy cognitive mapping analysis to evaluate the future of water in seyhan basin. Journal of Water and Climate Change, 4(2), 131-145. http://dx.doi.org/10.2166/wcc.2013.029.
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.
Cunha, A. A. R., & Morais, D. C. (2016). Analysing the use of cognitive maps in an experiment on a group decision process. The Journal of the Operational Research Society, 67(12), 1459-1468. http://dx.doi.org/10.1057/jors.2016.19.
Eden, C. (1988). Cognitive mapping: a review. European Journal of Operational Research, 36(1), 1-13. http://dx.doi.org/10.1016/0377-2217(88)90002-1.
Eden, C., & Ackermann, F. (2004). Cognitive mapping expert views for policy analysis in the public sector. European Journal of Operational Research, 152(3), 615-630. http://dx.doi.org/10.1016/S0377-2217(03)00061-4.
ElSawah, S., Mclucas, A., & Mazanov, J. (2013). Using a cognitive mapping approach to frame the perceptions of water users about managing water resources: a case study in the Australian capital territory. Water Resources Management, 27(9), 3441-3456. http://dx.doi.org/10.1007/s11269-013-0357-5.
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.
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.
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.
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.
Foote, J. L., Gregor, J. E., Hepil, M. C., Baker, V. E., Houston, D. J., & Midgley, G. (2007). Systemic problem structuring applied to community involvement in water conservation. The Journal of the Operational Research Society, 58(5), 645-654. http://dx.doi. org/10.1057/palgrave.jors.2602248.
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.
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.
Haque, M. M., Egodawatta, P., Rahman, A., & Goonetilleke, A. (2015). Assessing the significance of climate and community factors on urban water demand. International Journal of Sustainable Built Environment, 4(2), 222-230. http://dx.doi.org/10.1016/j.ijsbe.2015.11.001.
Hellegers, P., Immerzeel, W., & Droogers, P. (2013). Economic concepts to address future water supply–demand imbalances in Iran, Morocco and Saudi Arabia. Journal of Hydrology (Amsterdam), 502, 62-67. http://dx.doi.org/10.1016/j.jhydrol.2013.08.024.
Idowu, O. A., Awomeso, J. A., & Martins, O. (2012). An evaluation of demand for and supply of potable water in an urban centre of Abeokuta and Environs, Southwestern Nigeria. Water Resources Management, 26(7), 2109-2121. http://dx.doi.org/10.1007/ s11269-012-0006-4.
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.
Jie, X., Yu, X., Na, L., & Hao, W. (2015). Spatial and temporal patterns of supply and demand balance of water supply services in the Dongjiang Lake Basin and its beneficiary areas. Journal of Resources and Ecology, 6(6), 386-396. http://dx.doi.org/10.5814/j.issn.1674-764x.2015.06.006.
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.
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.
Marttunen, M., Lienert, J., & Belton, V. (2017). Structuring problems for Multi-Criteria Decision Analysis in practice: A literature review of method combinations. European Journal of Operational Research, 263(1), 1-17. http://dx.doi.org/10.1016/j.ejor.2017.04.041.
Matrosov, E. S., Padula, S., & Harou, J. J. (2013a). Selecting portfolios of water supply and demand management strategies under uncertainty—contrasting economic optimisation and ‘robust decision making’ approaches. Water Resources Management, 27(4), 1123-1148. http://dx.doi.org/10.1007/s11269-012-0118-x.
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.
Medeiros, D. F. K. L., Urtiga, M. M., & Morais, D. C. (2017). Integrative negotiation model to support water resources management. Journal of Cleaner Production, 150, 148-163. http://dx.doi.org/10.1016/j.jclepro.2017.02.160.
Omar, M. M. (2013). Evaluation of actions for better water supply and demand management in Fayoum, Egypt using RIBASIM. Water Science, 27(54), 78–90. https://doi.org/10.1016/j.wsj.2013.12.008.
Ouda, O. K. M. (2014). Water demand versus supply in Saudi Arabia: current and future challenges. International Journal of Water Resources Development, 30(2), 335-344. http://dx.doi.org/10.1080/07900627.2013.837363.
Poustie, M. S., Deletic, A., Brown, R. R., Wong, T., de Haan, F. J., & Skinner, R. (2015). Sustainable urban water futures in developing countries: the centralised, decentralised or hybrid dilemma. Urban Water Journal, 12(7), 543-558. http://dx.doi.org/10.1080/157 3062X.2014.916725.
Quintas-Soriano, C., Castro, A. J., García-Llorente, M., Cabello, J., & Castro, H. (2014). From supply to social demand: a landscape-scale analysis of the water regulation service. Landscape Ecology, 29(6), 1069-1082. http://dx.doi.org/10.1007/s10980-014-0032-0.
Sahin, O., Bertone, E., & Beal, C. D. (2017). A systems approach for assessing water conservation potential through demand-based water tariffs. Journal of Cleaner Production, 148, 773-784. http://dx.doi.org/10.1016/j.jclepro.2017.02.051.
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.
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.
Segrave, A. J., van der Zouwen, M. W., & van Viersen, W. (2014). Water planning: from what time perspective? Technological Forecasting and Social Change, 86, 157-167. http://dx.doi.org/10.1016/j.techfore.2013.08.019.
Suriya, S., & Mudgal, B. V. (2013). Soft systems methodology and integrated flood management: a study of the Adayar watershed, Chennai, India. Water and Environment Journal, 27(4), 462-473. https://doi.org/10.1111/j.1747-6593.2012.00365.x.
Urtiga, M. M., & Morais, D. C. (2015). Pre-negotiation framework to promote cooperative negotiations in water resource conflicts through value creation approach. Journal on Decision Processes, 3(3), 339-356. http://dx.doi.org/10.1007/s40070-015-0052-2.
Vetschera, R., & Almeida, A. T. (2012). A PROMETHEE-based approach to portfolio selection problems. Computers & Operations Research, 39(5), 1010-1020. http://dx.doi.org/10.1016/j.cor.2011.06.019.
Wang, X., Zhang, J., Shahid, S., Guan, E., Wu, Y., Gao, J., & He, R. (2014). Adaptation to climate change impacts on water demand. Mitigation and Adaptation Strategies for Global Change, 21(1), 81-99. http://dx.doi.org/10.1007/s11027-014-9571-6.
Wu, F., Bai, Y., Zhang, Y., & Li, Z. (2017). Balancing water demand for the Heihe River Basin in Northwest China. Physics and Chemistry of the Earth, Parts A/B/C. 101, 178-184. https://doi.org/10.1016/j.pce.2017.07.002.
Facebook
Google+
Twitter
LinkedIn
Mendeley
StumbleUpon
CiteULike
Reddit
Email