Sensitivity analysis of a cyanobacterial growth and movement model under two different flow regimes

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Guven, B. and Howard, A. (2011) Sensitivity analysis of a cyanobacterial growth and movement model under two different flow regimes. Environmental Modeling and Assessment, 16 (6). pp. 577-589. ISSN 1573-2967 doi: 10.1007/s10666-011-9266-2

Abstract/Summary

Bloom-forming and toxin-producing cyanobacteria remain a persistent nuisance across the world. Modelling cyanobacterial behaviour in freshwaters is an important tool for understanding their population dynamics and predicting the location and timing of the bloom events in lakes, reservoirs and rivers. A new deterministic–mathematical model was developed, which simulates the growth and movement of cyanobacterial blooms in river systems. The model focuses on the mathematical description of the bloom formation, vertical migration and lateral transport of colonies within river environments by taking into account the major factors that affect the cyanobacterial bloom formation in rivers including light, nutrients and temperature. A parameter sensitivity analysis using a one-at-a-time approach was carried out. There were two objectives of the sensitivity analysis presented in this paper: to identify the key parameters controlling the growth and movement patterns of cyanobacteria and to provide a means for model validation. The result of the analysis suggested that maximum growth rate and day length period were the most significant parameters in determining the population growth and colony depth, respectively.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/18802
Identification Number/DOI 10.1007/s10666-011-9266-2
Refereed Yes
Divisions Science > School of Archaeology, Geography and Environmental Science > Department of Geography and Environmental Science
Science > School of Archaeology, Geography and Environmental Science > Earth Systems Science
Uncontrolled Keywords Cyanobacteria – Growth – Movement – Modelling – Rivers – Parameter sensitivity analysis
Publisher Springer
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