Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability

Sustainable management of water, energy, and food (WEF) under climate change will be a significant challenge for arid agricultural systems. This study developed a fractional non-linear multi-objective programming (FNLMOP) model to optimize resource allocation and improve agricultural sustainability in these systems under climate change. The model was designed in the framework of the WEF nexus to simultaneously improved energy productivity (profit/energy), and water productivity (profit/water), while mitigating environmental damage (damage to groundwater resources/output) and ensuring food security in an arid watershed in Iran. The long Ashton research station weather generator (LARS-WG) and the coupled model intercomparison project 6 (CMIP6) were employed to project climate parameters for both future dry and wet conditions. The sustainability of the optimal solutions was then assessed using a hybrid criteria importance through intercriteria correlation (CRITIC)-VIKOR approach. The optimal solutions revealed a reduction in the land under cultivation and produced less water-intensive crops. The optimization model can ensure WEF security, enhancing agricultural system sustainability by optimizing crop cultivation patterns and resource allocation. Current crop choices were highly inefficient with the bigger changes being from the current crops to optimal crops. Climate change showed a substantial but lesser influence on optimal crop choice. • An optimization model is developed to manage the Water, Energy, Food (WEF) nexus under climate change. • The Long Ashton Research Station Weather Generator is used to project climate parameters for future dry and wet conditions. • The developed approach is applied to a watershed in northeast Iran. • Optimal solutions reduce land use by 24–26 %, increase economic profit by 37 %, and decrease environmental damage by 30 %. • Optimal resource allocations improve WEF security and sustainability under climate change.

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Publication Details

Journal
Agricultural Water Management
Published
2024-09-14
DOI
https://doi.org/10.1016/j.agwat.2024.109052
Citations
20
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
4.03

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article

Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability

Riza Radmehr, B. Wade Brorsen, Samira Shayanmehr
20 citations
Agricultural Water Management
Water-Energy-Food Nexus Studies
4.03
article

Adapting to climate change in arid agricultural systems: An optimization model for water-energy-food nexus sustainability

Riza Radmehr, B. Wade Brorsen, Samira Shayanmehr
article en
20 citations

Abstract

Sustainable management of water, energy, and food (WEF) under climate change will be a significant challenge for arid agricultural systems. This study developed a fractional non-linear multi-objective programming (FNLMOP) model to optimize resource allocation and improve agricultural sustainability in these systems under climate change. The model was designed in the framework of the WEF nexus to simultaneously improved energy productivity (profit/energy), and water productivity (profit/water), while mitigating environmental damage (damage to groundwater resources/output) and ensuring food security in an arid watershed in Iran. The long Ashton research station weather generator (LARS-WG) and the coupled model intercomparison project 6 (CMIP6) were employed to project climate parameters for both future dry and wet conditions. The sustainability of the optimal solutions was then assessed using a hybrid criteria importance through intercriteria correlation (CRITIC)-VIKOR approach. The optimal solutions revealed a reduction in the land under cultivation and produced less water-intensive crops. The optimization model can ensure WEF security, enhancing agricultural system sustainability by optimizing crop cultivation patterns and resource allocation. Current crop choices were highly inefficient with the bigger changes being from the current crops to optimal crops. Climate change showed a substantial but lesser influence on optimal crop choice. • An optimization model is developed to manage the Water, Energy, Food (WEF) nexus under climate change. • The Long Ashton Research Station Weather Generator is used to project climate parameters for future dry and wet conditions. • The developed approach is applied to a watershed in northeast Iran. • Optimal solutions reduce land use by 24–26 %, increase economic profit by 37 %, and decrease environmental damage by 30 %. • Optimal resource allocations improve WEF security and sustainability under climate change.

Agricultural Water ManagementVol. 303
Oklahoma State University (US), Ferdowsi University of Mashhad (IR)
Oklahoma Soil Fertility Research and Education Advisory Board, National Institute of Food and Agriculture, Oklahoma Agricultural Experiment Station
Zero hunger
Openalex Percentile: Top 6%
Water-Energy-Food Nexus Studies
4.03
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