The paper introduces a methodology for model evaluation based upon (i) a controlled random search algorithm used for calibration and (ii) a recursive prediction error algorithm used as a verification tool. The method is applied to a case study in north west Georgia involving the dynamic simulation of a population of algae in a standing body of water. Efforts to identify a model structure for the dissolved oxygen dynamics associated with photosynthesis and respiration are made, with some success.

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