Decision of the water shortage mitigation policy using Multi-Criteria Decision Analysis
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Many regions has been facing formidable freshwater management and planning challenges. Concerns about limited water allocations, conservation of environmental and water qualities and policies for sustainable water use have been increased because rising water demand would cause water shortage in the near future. Therefore, it is necessary to look into possible alternative water resources management plans to mitigate the potential water shortage. However, it is not straightforward to predict and analyze the various situations likely to be occurred in the future. Also, finding an optimal solution among many alternatives to mitigate the water shortage is a complex task. In this study, a methodology of predicting and analyzing the water resources situations in the future using the K-WEAP (Korea Water Evaluation and Planning system) is presented and an optimal alternative is determined using the MCDA (Multi-Criteria Decision Analysis) that takes into account the economic, environmental, and social sectors. The proposed methodology is applied to the Nakdong River basin in South Korea to calculate water budget and possible water shortage. An optimal water shortage mitigation policy for the study basin is also suggested to help decision maker develop long-term water resources management strategies.
Keywordssustainable water supply water shortage mitigation MCDA K-WEAP Nakdong River basin
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- Belton, V. and Stewart, T. J. (2002). Multiple criteria decision analysis. An intergrated approach, Kluwer Academic Publishers, Norwell, Messachusetts.Google Scholar
- Choi, D. J. and Park, H. K. (2000). “Analysis of water privatization scenarios with mulit-criteria decision techniques.” Journal of Korean Society of Civil Engineers, Vol. 20, No. 1, pp. 175–187.Google Scholar
- Goicoechea, A., Stakhiv, E. Z., and Li, F. (1992). “Experimental evaluation of multiple criteria decision models for application to water resources planning.” Water Resources Bulletin, Vol. 28, No. 1, pp. 89–102.Google Scholar
- KMOCT (2006). National water resources plan (2006–2020), Korean Ministry of Construction and Transportation.Google Scholar
- KMOST (2007). Building of value evaluation system of water resources and water related technology, Korean Ministry of Science and Technology.Google Scholar
- OECD (2005). Handbook on constructing composite indicators: Methodology and user guide, Organization for Economic Cooperation and Development Statistics Working Paper.Google Scholar
- Ridgley, M. A. (1993). “A multicriteria approach to allocation water during drought.” Resources and Optimization, Vol. 9, No. 2, pp. 135–149.Google Scholar
- Roy, B., Slowinski, R., and Treichel, W. (1992). “Multicriteria programming of water supply systems for rural areas.” Water Resources Bulletin, Vol. 28, No. 1, pp. 13–31.Google Scholar
- Stockholm Environment Institute-Boston Center. (2001). K-WEAP User guide, SEI-US.Google Scholar
- Thiessen, E. M. and Loucks, D. P. (1992). “Computer assisted negotiation of multiobjective water resources conflicts.” Water Resources Bulletin, Vol. 28, No. 1, pp. 163–177.Google Scholar