Multi-objective optimization of drainage depth based on the fair division Short-term vs. long-term environmental effects

Construction of drainage system is necessary in the south Khuzestan for amending saline soils and protecting the lands against salinity stress. Drainage systems control salinity and reclaim salinized lands. But, this system has some potential environmental effects and has become a major challenge in the areas with drainage systems in recent years. The environmental effects caused by operation can be divided into two parts: short-term effects and long-term effects of primary leaching. According to the salinity distribution of soil, short-term and long-term environmental effects are conflicted together; so that, less salt discharged to the environment due to primary leaching will result in high salt discharged to the environment during operation. Therefore, short and long term environmental effects are discussed in this study to determine the optimal parameters of drainage designing. For this purpose, multi-objective simulated annealing model was used. Also, fair division benefits model has been used to select final optimal points from multi-objective output. To test the ability of presented models, the data of Salman Farsi agro-industrial enterprise was used as a case study. According to the results, the optimum installation depth for output in multi-objective model varies between 1.1 to 2.7 meter; the optimum installation depth is reduced to 1.45-2 meters using fair benefits division model. Optimum installation depth using symmetric Nash method is approximately 1.5 meters.