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A multi-objective mathematical model of a water management problem with environmental impacts: An application in an irrigation project

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  • G M Wali Ullah
  • Micah Nehring

Abstract

The study proposes applying an efficient but straightforward multi-objective constrained optimization model for optimal water allocation among irrigation and environmental sectors. The model has been implemented in the Muhuri Irrigation Project (MIP), Bangladesh, where the irrigation systems lead to unjustifiable use of groundwater. This study explores how water can be optimised to increase agricultural production and sustain the local environment in the MIP. Hence, the paper has two objectives—to maximise the net return and minimise the deficit in environmental flow. The study uses a Non-Dominating Sorting Genetic Algorithm, NSGA-II, to solve the research problem. Results indicate that crops more profitable to trade should be cultivated. Furthermore, the rainfall has more impact on the net return and environmental flow deficit than water inflow. The findings of this study can help plan irrigation water and cropland resources and be a reference for further studies.

Suggested Citation

  • G M Wali Ullah & Micah Nehring, 2021. "A multi-objective mathematical model of a water management problem with environmental impacts: An application in an irrigation project," PLOS ONE, Public Library of Science, vol. 16(8), pages 1-16, August.
    • Handle: RePEc:plo:pone00:0255441
    DOI: 10.1371/journal.pone.0255441
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    References listed on IDEAS

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    1. Hossain, Mahabub, 2009. "The impact of shallow tubewells and boro rice on food security in Bangladesh:," IFPRI discussion papers 917, International Food Policy Research Institute (IFPRI).
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