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.
Highlights
Global water resources are under increasing pressure due to large-scale water abstraction for human needs [1] [2]
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
The irrigation duration was for 36 weeks, when planting started in week 40 through week 23 of the year
Summary
Global water resources are under increasing pressure due to large-scale water abstraction for human needs [1] [2]. Agriculture is both a cause and victim of water scarcity, as the excessive use and degradation of water resources are threatening the sustainability of livelihoods dependent on water and agriculture [3]. There is an increasing interest focused on ensuring that both agriculture and irrigation become climate smart as a driven factor to ensure food security, improve rural livelihoods, and alleviate environmental risks for small-scale farmers [10]
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