Abstract
A stochastic dissolved oxygen river model is developed based on modifications of a set of random differential equations after Streeter and Phelps. The method uses randomly generated rate constants and input parameters which are described by probability distributions determined from survey data means and their standard deviations to generate the probable dissolved oxygen levels in a river. The model is used to predict the effect of wastewater loadings from water pollution control plants on the dissolved oxygen level in the receiving river. The model is applied to the Thames River, London, Ontario, to determine if flow augmentation would reduce the number of episodes of low dissolved oxygen in the river during the low flow seasons. In addition, the model was used to test if improved treatment in the water pollution control plants would alleviate the low dissolved oxygen level in the river. The model results indicate that flow augmentation is not required if the water pollution control plants produce improved effluent.
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