Investigating the management of distribution and allocation of irrigation water in two optimal and traditional modes(Case study: Maron irrigation and drainage networks)

Document Type : Research Paper

Authors

1 Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Water Sciences and Engineering, Science and Research Branch, Islamic Azad University, Ahvaz,,.Iran

3 Department of agriculture Science and Research Branch, Islamic Azad University, Ahvaz.Iran

Abstract

The aim of this study was to allocation irrigation water and cropping area under uncertainty with emphasis on water use efficiency (WUE) and relative irrigation supply (RIS) indices and the results were compared to the actual management in Marun Irrigation Network. The hydrometric data was sourced from the Marun network station for the 2006–2016 periods. Therefor a model has been designed and developed to maximize the total gross benefit of the irrigation networks of Marun. The presented model is capable of adjusting the optimal water distribution among networks, crops, and their different growing stages, determining water shortage, allocating surplus water, and the gross benefit during four growing seasons under three scenarios of arid, normal and wet years by applying multi-stage stochastic programming under uncertainty. The results showed that the more optimal water consumption due to the increase of the cropping areas were increased by respectively 26 and 2%, and of course the benefit amount had an increase of 92 and 25% and also the increase of the WUE index in the developed model compared to the actual management. In the actual management the RIS index of irrigation water is close to one. In the optimization model, the difference between the supply and allocation of irrigation due to the estimation of the actual water requirement of the plant, the optimal cropping area and water storage is more than the traditional management.(In most cases, it is less than one).

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History

  • Receive Date: 22 May 2023
  • Revise Date: 11 December 2023
  • Accept Date: 11 December 2023
  • Publish Date: 11 December 2023

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