This paper proposes a stochastic water quality management model which considers river flow as a random variable and optimizes waste allocation at point sources. The model is subjected to a chance constrain which can be converted into an equivalent deterministic constrain, and then can be solved by the use of the available deterministic programming algorithm. The allowable discharge loads and degree of required removal of each point source of a river basin are optimized under various degrees of reliability, and can be employed as information for decision making to decide the most suitable treatment degree of wastewater in a river basin.

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