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Erschienen in: Water Resources Management 3/2021

27.01.2021

Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality

verfasst von: Amir Hatamkhani, Ali Moridi

Erschienen in: Water Resources Management | Ausgabe 3/2021

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Abstract

The limitation of freshwater resources and the growing demand for water, make the issue of water resource development planning and water allocation among stakeholders even more important. Ideally, water allocation should be economically efficient and socially equitable. In this study, a water allocation model is presented in an integrated framework that considers the interaction of water supply and demand according to economic and social factors. To achieve this, a reliability-based multi-objective optimization - simulation approach has been employed. The objective functions of the problem are: 1) maximizing GDP from agricultural sectors and 2) maximizing social equality in different provinces of the basin (measured using the Williamson coefficient). The fair development and allocation among the shared provinces in the basin can reduce conflicts in the region. Karkheh basin has been considered as a case study and decision variables of the problem are area under cultivation of agricultural development sectors in different provinces. The results show that, without harming the income of the agricultural sector, the spatial distribution of development projects can be done in such a way that equality (according to income level and the number of people working in each province) is achieved. One of the solutions of Pareto front compared to previous studies shows that, in addition to an increase of about 12% of the objective function 1 (GDP), the value of the objective function 2 (Williamson coefficient) decreased from 1.19 to 0.98. This indicates a decrease in income inequality among the provinces of the basin.

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Literatur
Zurück zum Zitat Arab Amiri M, Conoscenti C, Mesgari MS (2018) Improving the accuracy of rainfall prediction using a regionalization approach and neural networks. Kuwait Journal of Science 45(4):66–75 Arab Amiri M, Conoscenti C, Mesgari MS (2018) Improving the accuracy of rainfall prediction using a regionalization approach and neural networks. Kuwait Journal of Science 45(4):66–75
Zurück zum Zitat Babel MS, Gupta AD, Nayak DK (2005) A model for optimal allocation of water to competing demands. Water Resour Manag 19(6):693–712CrossRef Babel MS, Gupta AD, Nayak DK (2005) A model for optimal allocation of water to competing demands. Water Resour Manag 19(6):693–712CrossRef
Zurück zum Zitat Coello CAC, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Evol Comput 8:256–279CrossRef Coello CAC, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Evol Comput 8:256–279CrossRef
Zurück zum Zitat Gluschenko K (2018) Measuring regional inequality: to weight or not to weight? Spat Econ Anal 13(1):36–59CrossRef Gluschenko K (2018) Measuring regional inequality: to weight or not to weight? Spat Econ Anal 13(1):36–59CrossRef
Zurück zum Zitat Guan H, Chen L, Huang S, Yan C, Wang Y (2020) Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou. China, Water Policy Guan H, Chen L, Huang S, Yan C, Wang Y (2020) Multi-objective optimal allocation of water resources based on ‘three red lines’ in Qinzhou. China, Water Policy
Zurück zum Zitat Habibi Davijani H, Banihabib ME, Nadjafzadeh AA, Hashemi SR (2016) Multi-objective optimization model for the allocation of water resources in arid regions based on the maximization of socioeconomic efficiency. Water Resour Manag 30(3):927–946CrossRef Habibi Davijani H, Banihabib ME, Nadjafzadeh AA, Hashemi SR (2016) Multi-objective optimization model for the allocation of water resources in arid regions based on the maximization of socioeconomic efficiency. Water Resour Manag 30(3):927–946CrossRef
Zurück zum Zitat Hu Z, Chen Y, Yao L, Wei C, Li C (2016) Optimal allocation of regional water resources: from a perspective of equity efficiency tradeoff. Resour Conserv Recycl 109:102–113CrossRef Hu Z, Chen Y, Yao L, Wei C, Li C (2016) Optimal allocation of regional water resources: from a perspective of equity efficiency tradeoff. Resour Conserv Recycl 109:102–113CrossRef
Zurück zum Zitat Iran Water and Power Resources Development Company. (2011) Systematic studies of Karkheh Basin Iran Water and Power Resources Development Company. (2011) Systematic studies of Karkheh Basin
Zurück zum Zitat Kennedy J, and Eberhart R C (1995) Particle swarm optimization. Proc.IEEE Int. Conf. on Neural Networks IEEE Service Center Piscataway NJ 1942–1948 Kennedy J, and Eberhart R C (1995) Particle swarm optimization. Proc.IEEE Int. Conf. on Neural Networks IEEE Service Center Piscataway NJ 1942–1948
Zurück zum Zitat Li, X., Wang, X., Guo, H., & Ma, W. (2020). Multi-water resources optimal allocation based on multi-objective uncertain chance-constrained programming model. Water Resources Management, 1-19 Li, X., Wang, X., Guo, H., & Ma, W. (2020). Multi-water resources optimal allocation based on multi-objective uncertain chance-constrained programming model. Water Resources Management, 1-19
Zurück zum Zitat Liu D, Chen X, Lou Z (2010) A model for the optimal allocation of water resources in a saltwater intrusion area: a case study in Pearl River Delta in China. Water Resour Manag 24(1):63–81CrossRef Liu D, Chen X, Lou Z (2010) A model for the optimal allocation of water resources in a saltwater intrusion area: a case study in Pearl River Delta in China. Water Resour Manag 24(1):63–81CrossRef
Zurück zum Zitat Roozbahani R, Schreider S, Abbasi B (2013) Economic sharing of basin water resources between competing stakeholders. Water Resour Manag 27(8):2965–2988CrossRef Roozbahani R, Schreider S, Abbasi B (2013) Economic sharing of basin water resources between competing stakeholders. Water Resour Manag 27(8):2965–2988CrossRef
Zurück zum Zitat Roozbahani R, Schreider S, Abbasi B (2015) Optimal water allocation through a multi-objective compromise between environmental, social, and economic preferences. Environ Model Softw 64:18–30CrossRef Roozbahani R, Schreider S, Abbasi B (2015) Optimal water allocation through a multi-objective compromise between environmental, social, and economic preferences. Environ Model Softw 64:18–30CrossRef
Zurück zum Zitat Sherafatpour Z, Roozbahani A, Hasani Y (2019) Agricultural water allocation by integration of hydro-economic modeling with Bayesian networks and random forest approaches. Water Resources Management 33(7):2277–2299CrossRef Sherafatpour Z, Roozbahani A, Hasani Y (2019) Agricultural water allocation by integration of hydro-economic modeling with Bayesian networks and random forest approaches. Water Resources Management 33(7):2277–2299CrossRef
Zurück zum Zitat Sieber J, Purkey D (2011) WEAP: water evaluation and planning system. Stockholm Environment Institute, US Center, User Guide Somerville Sieber J, Purkey D (2011) WEAP: water evaluation and planning system. Stockholm Environment Institute, US Center, User Guide Somerville
Zurück zum Zitat The Statistical Yearbook of Iran (2017). Statistics Center of Iran The Statistical Yearbook of Iran (2017). Statistics Center of Iran
Zurück zum Zitat Tian J, Guo S, Liu D, Pan Z, Hong X (2019) A fair approach for multi-objective water resources allocation. Water Resour Manag 33(10):3633–3653CrossRef Tian J, Guo S, Liu D, Pan Z, Hong X (2019) A fair approach for multi-objective water resources allocation. Water Resour Manag 33(10):3633–3653CrossRef
Zurück zum Zitat Varela-Ortega C, Blanco-Gutiérrez I, Swartz CH, Downing TE (2011) Balancing groundwater conservation and rural livelihoods under water and climate uncertainties: an integrated hydro-economic modeling framework. Global Environmental Change 21(2):604–619CrossRef Varela-Ortega C, Blanco-Gutiérrez I, Swartz CH, Downing TE (2011) Balancing groundwater conservation and rural livelihoods under water and climate uncertainties: an integrated hydro-economic modeling framework. Global Environmental Change 21(2):604–619CrossRef
Zurück zum Zitat Williamson JG (1965) Regional inequality and the process of national development. J. Econ Dev Cult Chang 13:1–84CrossRef Williamson JG (1965) Regional inequality and the process of national development. J. Econ Dev Cult Chang 13:1–84CrossRef
Metadaten
Titel
Optimal Development of Agricultural Sectors in the Basin Based on Economic Efficiency and Social Equality
verfasst von
Amir Hatamkhani
Ali Moridi
Publikationsdatum
27.01.2021
Verlag
Springer Netherlands
Erschienen in
Water Resources Management / Ausgabe 3/2021
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI
https://doi.org/10.1007/s11269-020-02754-7

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