Abstract

A fuzzy inference system (FIS) is presented for the optimal operation of a reservoir system with the objective of maintaining water quality in a creek. An optimization model determines optimal reservoir releases for given inflows, initial storage volume and required values for flow augmentation. These optimal releases are then used as inputs to derive optimal operating policies that are easy to use. FIS uses samples of optimal releases and corresponding system variables, namely inflows and storage volumes, to establish the general operating policies. Results compare the superior performance of the proposed algorithm with policies developed using a multiple regression analysis.

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