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An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing

Author

Listed:
  • Hassani, Yousef
  • Hashemy Shahdany, Seied Mehdy
  • Maestre, J.M.
  • Zahraie, Banafsheh
  • Ghorbani, Mohammad
  • Henneberry, Shida Rastegari
  • Kulshreshtha, Suren N.
Abstract
Water markets in developing countries are difficult to implement due to social, environmental, and technical restrictions. However, the primary concern in irrigation districts with a lack of a functioning market mechanism is the economically efficient allocation of water. In this light, the objective of this study is the development of an Economic-Operational framework that could be used for the most economically efficient allocation of water. This framework is expected to provide an infrastructure for delivering volumetric mutually-related main economic components: Positive Mathematical Programing (PMP) and the Model Predictive Control (MPC) which is added as an operational model component. The economic model (PMP) simulates the existing conditions surrounding the agricultural activities and calculates the agricultural sector’s income, as well as the economic value of water, considering current cropping patterns and the economic value of water. Consequently, the operational model (MPC) distributes and delivers water to the agricultural units based on the weighted average of water’s economic value. Operational performance of the entire canal system is then assessed based on the customized operational assessment indicators for developing the framework. Finally, the last part of the framework includes performance evaluation of the approach introduced in the present study with respect to sustainable development goals, using the multi-criteria decision-making (MCDM) method. For this purpose, the effect of any changes in the calculated volume of water, through employing the framework, on the economic, social, and environmental indicators can be observed.

Suggested Citation

  • Hassani, Yousef & Hashemy Shahdany, Seied Mehdy & Maestre, J.M. & Zahraie, Banafsheh & Ghorbani, Mohammad & Henneberry, Shida Rastegari & Kulshreshtha, Suren N., 2019. "An economic-operational framework for optimum agricultural water distribution in irrigation districts without water marketing," Agricultural Water Management, Elsevier, vol. 221(C), pages 348-361.
  • Handle: RePEc:eee:agiwat:v:221:y:2019:i:c:p:348-361
    DOI: 10.1016/j.agwat.2019.05.012
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    9. Yaltaghian Khiabani, M. & Hashamy Shahadany, S.M. & Maestre, J.M. & Stepanian, R. & Mallakpour, I., 2020. "Potential assessment of non-automatic and automatic modernization alternatives for the improvement of water distribution supplied by surface-water resources: A case study in Iran," Agricultural Water Management, Elsevier, vol. 230(C).
    10. Habibeh Sharifi & Abbas Roozbahani & Seied Mehdy Hashemy Shahdany, 2021. "Evaluating the Performance of Agricultural Water Distribution Systems Using FIS, ANN and ANFIS Intelligent Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1797-1816, April.
    11. Nathan Felipe da Silva Caldana & Pablo Ricardo Nitsche & Alan Carlos Martelócio & Anderson Paulo Rudke & Geovanna Cristina Zaro & Luiz Gustavo Batista Ferreira & Paulo Vicente Contador Zaccheo & Sergi, 2019. "Agroclimatic Risk Zoning of Avocado ( Persea americana ) in the Hydrographic Basin of Paraná River III, Brazil," Agriculture, MDPI, vol. 9(12), pages 1-11, December.
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