Abstract
The integrated management of water supply and demand has been considered by many policymakers; due to its complexity the decision makers have faced many challenges so far. In this study, we proposed an efficient framework for managing water supply and demand in line with the economic and environmental objectives of the basin. To design this framework, a combination of ANFIS and multi-objective augmented ε-constraint programming models and TOPSIS were used. First, using hydrological data from 2001 to 2017, the rate of water release from the dam reservoir was estimated with the ANFIS model; afterwards, its allocation to agricultural areas was performed by combining multi-objective augmented ε-constraint models and TOPSIS. To prove the reliability of the proposed model, the southern Karkheh basin in Khuzestan province, Iran, was considered as a case study. The results have showed that this model is able to reduce irrigation water consumption and to improve its economic productivity in the basin.
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Data and model estimation output are available from the corresponding author upon reasonable request.
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Acknowledgements
This study is a part of research (Water Supply and Demand Management under Uncertainty in Karkheh Dam Basin: Application of Fuzzy Multi-Objective Programming and ANFIS Models (No. 981.55)) with the support of the Research and Technology Deputy of Agricultural Sciences and Natural Resources University of Khuzestan. Tthe authors would like to thank Saeedeh Rajabizadeh for her accurate language edition on the manuscript.
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The first and second authors conceived of the presented idea and developed the theory and performed the computations. The third and fourth authors verified the analytical methods. All authors discussed the results and contributed to the final manuscript.
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Mardani Najafabadi, M., Mirzaei, A., Azarm, H. et al. Managing Water Supply and Demand to Achieve Economic and Environmental Objectives: Application of Mathematical Programming and ANFIS Models. Water Resour Manage 36, 3007–3027 (2022). https://doi.org/10.1007/s11269-022-03178-1
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DOI: https://doi.org/10.1007/s11269-022-03178-1