• DOI:10.1061/(ASCE)IR.1943-4774.0000807
• Corpus ID: 110942192

Determination of Irrigation Allocation Policy under Climate Change by Genetic Programming

@article{Ashofteh2015DeterminationOI,
  title={Determination of Irrigation Allocation Policy under Climate Change by Genetic Programming},
  author={Parisa-Sadat Ashofteh and Omid Bozorg Haddad and Habib Akbari-Alashti and Miguel A. Mari{\~n}o},
  journal={Journal of Irrigation and Drainage Engineering-asce},
  year={2015},
  volume={141},
  pages={04014059}
}

• P. Ashofteh, O. B. Haddad, +1 author M. Mariño
• Published 1 April 2015
• Economics
• Journal of Irrigation and Drainage Engineering-asce

AbstractThis paper develops and evaluates rule curves of reservoir operation and compares them for baseline and future periods. The rules are calculated by genetic programming (GP). Also, the rules extracted are based on the rate of inflow, storage volume, and downstream irrigation network demand. The objective function used is the minimization of the average of squared monthly relative deficiencies in the allocation of water to irrigation demand. The study focuses on the reservoir system as well as the downstream irrigation network of Aidoghmoush dam in East Azerbaijan, Iran, under baseline conditions (time interval 1987–2000) and climate change conditions (time interval 2026–2039). To investigate the optimal allocation policy, three operational scenarios are considered: (1) development of current rules under baseline conditions; (2) employment of current rules for future conditions; and (3) development of future rules for future conditions. Results show that the current allocation policy (resulting from...