Multi-objective planning for optimal exploitation of surface and groundwater resources through development of an optimized cropping pattern and artificial recharge system
Nima Salehi Shafa, Hossein Babazadeh, Fayaz Aghayari, Ali Saremi
Abstract
A multi-objective modeling platform consisting of the simulator-optimizer model_1th and optimizer model_2th was developed in this study. HEC-HMS was used for flood routing and artificial recharge and the multi-objective genetic algorithm(NSGA-II) was applied for the integrated use of water resources. Net profit, cropping pattern, irrigation consumption, and gross irrigation demand for an aquifer were optimized using NSGA-II. The objective functions of 1th-model include minimizing the lack of supply and maximizing the volume of penetration in the artificial recharge system and the objective functions of 2th_model include maximizing net profit and minimizing agricultural water consumption. The total volume of optimal recharge increased by 70 MCM and the total volume of available water decreased by 29%. In addition, results have shown the cropland area, water consumption, and optimal water demand were reduced by 20, 50, and 20%, respectively. The results confirm the multi-objective modeling is very effective in achieving the research objectives.