A new vector-based framework combining AquaCrop, CROPWAT, WEAP, and multi-objective programming for optimizing crop allocation under water scarcity
Year: 2026
Type: article
Abstract: Effective crop land-use allocation requires evaluating both the potential of land units and the demand for various crops to identify optimal strategies. This paper presents a new vector-based framework that combines AquaCrop for crop-water requirement estimation, CROPWAT for reference evapotranspiration, GAMS for multi-objective optimization, and WEAP for basin-level water allocation. The model operates directly on agricultural-plot polygons to enable spatially explicit optimization that balances agricultural income and production costs. The model’s plausibility for real-world planning was validated by comparing simulated cultivated areas against official statistics, showing a close agreement with a total difference of only 0.2%. Application of the framework to the water-scarce Borkhar & Meymeh district in Isfahan Province, Iran, uncovered a severe baseline water deficit where a substantial portion of the crop water requirements remained unmet. To address this, the model evaluated management scenarios and identified that a 45% reduction in total cultivation area—when spatially optimized alongside crop suitability—could be effective. This strategy significantly improved system performance by reducing the unmet water requirement from 45.8% in the baseline to 26.5% in the most restrictive scenario. Overall, this spatial optimization resulted in a 19.3% improvement in system-wide water reliability compared to existing conditions. The proposed model provides a robust decision-support framework for improving agricultural productivity and designing adaptive management strategies in water-scarce regions.
Source: Scientific Reports
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,690
OpenAlex ID: W7154754321