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 JWARP  Vol.12 No.4 , April 2020
Optimization of Irrigation Water Allocation Framework Based on Genetic Algorithm Approach
Abstract: In a world where excessive use and degradation of water resources are threatening the sustainability of livelihoods dependent on water and agriculture, increased food production will have to be done in the face of a changing climate and climate variability. There is a need to make optimal use of the available water resource to maximize productivity. Climate-smart irrigation is aimed at increasing per unit production and income from irrigated cropping systems without having negative impacts on the environment or other water users and uses. This paper developed a water allocation model using Genetic Algorithm to equitably allocation available water to the various sectors in Kano River Irrigation Scheme yielding an optimal as well as equitable water release with a 96.44% demand met. An average relative supply of 0.94 was obtained indicating the there was even supply of water to all the sectors. The model is robust and relatively easy to apply and can be employed by farm managers to achieve equity and optimal use of the available water resource.
Cite this paper: Adama, G. , Jimoh, D. and Otache, M. (2020) Optimization of Irrigation Water Allocation Framework Based on Genetic Algorithm Approach. Journal of Water Resource and Protection, 12, 316-329. doi: 10.4236/jwarp.2020.124019.
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