Multi-Objective Optimization Model for Irrigation Water Allocation
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Date
2018
Authors
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Journal ISSN
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Publisher
ASIAN JOURNAL OF MATHEMATICS AND APPLICATIONS
Abstract
In Tanzania, management of land and water resources is considered an ab-
solutely strategic priority for agricultural development. In this study, a Multi-Objective
optimization (MOO) model was formulated to utilize the available water by identifying the
best crop patterns which maximize the farm total net bene t and minimize the total vari-
able costs. The data for 6 crops collected from Nkoanrua region and FAO were used for the
model analysis. The Subdivision Algorithm which is a set oriented numerical method was
used to analyse the model. After 54 subdivision steps, the model proposed that, the amount
of land allocated to crops which are less pro table depends on the minimum requirement
constraints, while, for more pro table crops, the allocation is based on costs of production,
minimum and maximum requirement constraints, Bene t, and water requirements. Lastly,
the sensitivity analysis shows that, the price and production costs for carrots and maize has
no impact on the model solutions.
Description
Keywords
Multi-Objective Optimization Model, Irrigation Water Allocation,