Abstract
Abstract A chance‐constrained dynamic programming (CCDP) model with the objective of minimizing operation costs has been developed for a regional water quality management system. A zero‐order decision rule is used to find deterministic equivalents for a chance‐constrained programming model into a straightforward dynamic programming model that can be solved by the available algorithm. The model is applied to the Hsintien River in Taiwan for determining the optimal solutions for a desired policy.
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