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A review and classification of the existing models of cyanobacteria

Guven, B. and Howard, A. (2006) A review and classification of the existing models of cyanobacteria. Progress in Physical Geography, 30 (1). pp. 1-24. ISSN 0309-1333

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To link to this article DOI: 10.1191/0309133306pp464ra

Abstract/Summary

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.

Item Type:Article
Divisions:Faculty of Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Faculty of Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science
ID Code:3591
Uncontrolled Keywords:artificial neural network modelling cyanobacteria growth mathematical modelling movement BLUE-GREEN-ALGAE MICROCYSTIS-AERUGINOSA EUTROPHIC LAKE VERTICAL MIGRATION PROTECH MODEL WATER-BLOOM PHYTOPLANKTON COMMUNITY UNDERWATER MOVEMENT GROWTH SIMULATION
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