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Updated: Sep 20, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Optimization of agricultural crop pattern based on water footprint methodology
Muhammed Sungur Demir1, Abdullah Muratoglu1
1Civil Engineering Department, Batman University, Batman, Türkiye.
Abstract:
Agricultural activities account for the majority of global freshwater consumption, prompting extensive research into strategies for reducing water demand in the sector. Crop pattern optimization has emerged as a key strategy for achieving significant water savings. However, most existing studies prioritize yield maximization over minimizing water consumption. Additionally, water-based optimization efforts often rely on low temporal resolution data and rarely offer practical recommendations for crop pattern design. This study aims to evaluate water-saving potential in agriculture through crop pattern optimization based on water footprint (WF) assessments, focusing on the Ceyhan River Basin-an important hotspot for diverse crop production in Türkiye. The method effectively balances blue, green, and grey water components by integrating high-resolution spatial WF data from the Soil and Water Assessment Tool (SWAT) hydrological model into a multi-objective optimization framework. We developed six scenarios: Scenario S1 prioritizes total WF reduction, while Scenario S6 focuses solely on blue WF, with intermediate scenarios representing linear blends of these priorities. The results show that Scenario S1 achieves a 23.4% reduction in total WF (614 million m³)-comparable to the annual wheat consumption of 1.8 million people-whereas Scenario S6 attains a 47.9% decrease in blue WF (464 million m³), potentially meeting the daily water needs of 5.6 million individuals. Notably, an intermediate scenario (S5) provides a balanced reduction across WF components with a more uniform crop distribution, enhancing its practical appeal. Recognizing that farmer practices and economic concerns may hinder implementation, we recommend establishing targeted incentive mechanisms-such as financial support for farmers who adopt optimized cropping patterns-to facilitate the transition toward water-efficient practices. Overall, this research offers a robust decision-support tool for policymakers and water resource managers, providing clear guidance for aligning agricultural practices with sustainable water management and enhancing food and water security in water-scarce regions.
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