Calculation of Drainage Design Parameters UsingAMOSA Multi-Objective Optimization and Conflict Resolution Models

If the soil does not have natural drainage for removal of excess of water, irrigation would lead to waterlogging and stopping the growth or even damaging the crop root. Controlling water table level is one of the subsurface drainage goals to proper ventilize the plants root zone. High construction cost and negative environmental impacts, resulting from the effluent disposal are the main problems of drainage projects. Since, reducing the environmental affects leads to increasing construction cost, the aim of this study was to developed a model for determination of drainage design parameters, including diameter, depth and drainage distance, in a way that construction costs and environmental affects would be minimized. In this study, the multi-objective optimization algorithm AMOSA, a simulated annealing (SA) algorithm, has been used. Since the multi-objective optimization models output is consisted of several optimal points, conflict resolution models such as Kalai-Smorodinsky, Area Monotonic and Nash were employed to select a final competent result among the optimal points. The proposed model was run for the Salman Farsi agro-industry data, one of the Sugarcane Development Company projects. Results showed that the optimal depths were between 1.2m to 1.8m. The final favorable results were 1.25-1.65m for installation depth, 0.1m for pipe diameter and 30-50m for pipe spacing depending on the taken conflict resolution method.