This work describes a tool for determining the optimal configuration of management alternatives for the discharge streams on drainage systems to reduce pollution levels. The optimization model proposed has been formulated as a two stage stochastic problem with recourse and is based on a general superstructure designed for represent the management alternatives: splitting/mixing of streams or treatment before reuse in different processes, decreasing the fresh resources consumption and complying with permissible concentration limits. The first stage of the problem seeks to minimize the costs generated by the water treatment, while the second stage seeks to reduce the costs generated by the fresh water consumption. The model is developed for solving a problem consisting on a drainage system with five discharges and six processes requiring water. The Stochastic Decomposition Algorithm proposed by is applied by the computational implementation proposed by . The results are satisfactory. More than half of the residual streams are integrated and reused directly, reducing significantly the treatment needs and the contaminant amount discharged to the drain so as the fresh water flow. By the above, it can be said that the pollution reduction strategy proposed on this work is a reliable tool.
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