Study on Application of an Optimization Model for Assessing the Performance of Water Appropriation in Iraq

Authors

  • Ahmed A. Aljanabi Former, School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA.
  • Larry W. Mays School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA.
  • Peter Fox School of Sustainable Engineering and the Built Environment, Arizona State University, Tempe, AZ, USA.

DOI:

https://doi.org/10.9734/bpi/magees/v3/7044D

Keywords:

Optimization, agriculture, water allocation, drought, shadow prices

Abstract

The magnitude of water resources shortages in the Middle East represents an important factor in the stability of the region and it is a vital element in protecting sustained economic development in the region. This investigation addresses the ongoing challenge of water governance in Iraq by examining how profitability, at both the farm and basin levels, is affected by various water appropriation systems. Farmland irrigation in Iraq was evaluated using three water appropriation systems; upstream (UPR), downstream (DPR) and proportional (PSR) sharing rule. Their impacts on farm income under normal, dry, and drought water supply scenarios were evaluated using an irrigation water model coupled with a nonlinear programming (NLP) optimization model.  As compared to UPR, PSR provided a 32% and 75% increase in total farm income for the Tigris River under dry and drought supply conditions, respectively.  As compared to DPR, PSR provided a 47% and 83.5% increase in total farm income for the Euphrates River under dry and drought supply conditions, respectively. The results from this study are intended to provide guidance for decision makers in Iraq for potential future conditions where water supplies are reduced and demonstrate how it is feasible to adopt the PSR as an alternative and efficient water allocation rule due to its flexibility of providing fair water resource allocation in drought seasons.

Published

2021-03-01

How to Cite

Ahmed A. Aljanabi, Larry W. Mays, & Peter Fox. (2021). Study on Application of an Optimization Model for Assessing the Performance of Water Appropriation in Iraq. Modern Advances in Geography, Environment and Earth Sciences Vol. 3, 39–56. https://doi.org/10.9734/bpi/magees/v3/7044D