A parametric bio-economic model of monthly irrigation water demands in the Murray-Darling Basin

Irrigation water demands in hydrologic models are typically simulated using bio-physical crop water balances, ignoring the economic behaviour of farmers and their responses to water and crop prices. This study develops a bio-economic model of monthly irrigation water demand that integrates bio-physical crop water requirements with an economic profit maximisation framework, yielding simple parametric equations for annual crop areas and monthly water use as a function of weather and prices. Parameters are estimated via structural estimation, solving a joint system of physical and behavioural regression equations by non-linear least squares. Applied to the Australian Murray-Darling Basin, the model explains 94% of annual variation in southern basin water use (cross-validated NSE- R² 0.90). The model is applied to measure long-term adjustment in the irrigation sector, revealing a 40% increase in peak summer water demand in the lower-Murray since 2007 due to an expansion of almond plantings. This bio-economic framework provides an empirical foundation for new integrated hydro-economic models capable of simulating irrigation sector responses to long-term changes in water availability and climate. • Our bio-economic model combines crop water processes and profit maximisation • Structural estimation yields parametric equations for crop water use and area • Monthly irrigation demand estimated for the Murray-Darling Basin, 2004–2022 • Cross-validated R² of 0.90 for annual water use in the southern basin • Almond expansion drove a 40% rise in peak summer demand in the lower Murray

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Publication Details

Journal
Agricultural Water Management
Published
2026-05-08
DOI
https://doi.org/10.1016/j.agwat.2026.110411
Primary Topic
Water resources management and optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A parametric bio-economic model of monthly irrigation water demands in the Murray-Darling Basin

Rhys Downham, Maruge Zhao, Neal Hughes
Agricultural Water Management
Water resources management and optimization
article

A parametric bio-economic model of monthly irrigation water demands in the Murray-Darling Basin

Rhys Downham, Maruge Zhao, Neal Hughes
article en

Abstract

Irrigation water demands in hydrologic models are typically simulated using bio-physical crop water balances, ignoring the economic behaviour of farmers and their responses to water and crop prices. This study develops a bio-economic model of monthly irrigation water demand that integrates bio-physical crop water requirements with an economic profit maximisation framework, yielding simple parametric equations for annual crop areas and monthly water use as a function of weather and prices. Parameters are estimated via structural estimation, solving a joint system of physical and behavioural regression equations by non-linear least squares. Applied to the Australian Murray-Darling Basin, the model explains 94% of annual variation in southern basin water use (cross-validated NSE- R² 0.90). The model is applied to measure long-term adjustment in the irrigation sector, revealing a 40% increase in peak summer water demand in the lower-Murray since 2007 due to an expansion of almond plantings. This bio-economic framework provides an empirical foundation for new integrated hydro-economic models capable of simulating irrigation sector responses to long-term changes in water availability and climate. • Our bio-economic model combines crop water processes and profit maximisation • Structural estimation yields parametric equations for crop water use and area • Monthly irrigation demand estimated for the Murray-Darling Basin, 2004–2022 • Cross-validated R² of 0.90 for annual water use in the southern basin • Almond expansion drove a 40% rise in peak summer demand in the lower Murray

Agricultural Water ManagementVol. 330
Australian Bureau of Agricultural and Resource Economics and Sciences (AU)
Department of Climate Change, Energy, the Environment and Water
Climate action
Openalex Percentile: Top 6%
Water resources management and optimization
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