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Progress in Physical Geography
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A review and classification of the existing models of cyanobacteria

Basak Guven

Department of Geography, The University of Reading, Whiteknights, Reading RG6 6AB, UK

Alan Howard

Department of Geography, The University of Reading, Whiteknights, Reading RG6 6AB, UK

Bloom-forming and toxin-producing cyanobacteria remain a persistent nuisance across the world. Modelling of cyanobacteria in freshwaters is an important tool for understanding their population dynamics and predicting bloom occurrence in lakes and rivers. In this paper existing key models of cyanobacteria are reviewed, evaluated and classified. Two major groups emerge: deterministic mathematical and artificial neural network models. Mathematical models can be further subcategorized into those models concerned with impounded water bodies and those concerned with rivers. Most existing models focus on a single aspect such as the growth of transport mechanisms, but there are a few models which couple both.

Key Words: artificial neural network modelling • cyanobacteria • growth • mathematical modelling • movement

Progress in Physical Geography, Vol. 30, No. 1, 1-24 (2006)
DOI: 10.1191/0309133306pp464ra
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