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Implementation and sensitivity analysis of a model of Cyanobacterial movement and growth

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Abstract

The CLAMM model provides a simulation of the growth and movement of Microcystis, including temperature-correction of the main process rates; loss of colonies; net chlorophyll-a production; changes in colony size and wind induced lake mixing. This paper presents the results of the sensitivity analysis and trial application of the CLAMM model. Sensitivity analysis was undertaken using the complex 'general sensitivity analysis' procedure. Results indicate a high degree of interaction between model parameters with no single parameter appearing dominant. Application of the model to a lowland impoundment in Southern England for 1994 and 1995 produced results that compared reasonably well with field data.

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References

  • Easthope, M. P., 1998. Modelling cyanobacteria in lakes; in relation to climate change. PhD Thesis. University of Reading, Reading: 227 pp.

  • Hornberger, G. M. & R. C. Spear, 1981. Eutophication in Peel Inlet-I. The problem-defining behaviour and a mathematical model for the phosphorus scenario. Wat. Res. 14: 29–42.

    Google Scholar 

  • Howard, A., 1993. SCUM-simulation of cyanobacterial underwater movement. Comput. Applic. Biosc. 9: 413–419.

    Google Scholar 

  • Howard, A., A. E. Irish & C. S. Reynolds, 1996. A new simulation of cyanobacterial underwater movement (SCUM'96). J. Plankton Res. 18: 1375–1385.

    Google Scholar 

  • Reynolds, C. S. & A. E. Irish, 1997. Modelling phytoplankton dynamics in lakes and reservoirs: the problem of in-situ growth rates. Hydrobiologia 349: 5–17.

    Google Scholar 

  • Spear, R. C. & G. M. Hornberger, 1980. Eutophication in Peel Inlet-II. Identification of critical uncertainties via generalised sensitivity analysis. Wat. Res.14: 43–49.

    Google Scholar 

  • Whitehead, P. G., 1984. Water Quality Modelling, forecasting and control. In Whitehead, P. G. & P. E. O'Connell (eds), Proceedings of an International Workshop at the Institute of Hydrology, Wallingford (Report No.88). Institute of Hydrology, Wallingford: 10–32.

    Google Scholar 

  • Whitehead, P. G. & G. M. Hornberger, 1984. Modelling algal behaviour in the river Thames. Wat. Res. 18: 945–953.

    Google Scholar 

  • Whitehead, P. G., A. Howard & C. Arulmani, 1997. Modelling algal growth and transport in rivers: a comparison of time series analysis, dynamic mass balance and neural network techniques. Hydrobiologia 349: 39–46.

    Google Scholar 

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Authors and Affiliations

  1. HR Wallingford Ltd., Howbery Park, Wallingford, Oxon, OX10 8BA, U.K

    Mark P. Easthope

  2. Aquatic Environments Research Centre, Department of Geography, The University of Reading, Whiteknights, Reading, RG6 6AB, U.K. E-mail

    Alan Howard

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  1. Mark P. Easthope
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  2. Alan Howard
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Correspondence to Alan Howard.

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Easthope, M.P., Howard, A. Implementation and sensitivity analysis of a model of Cyanobacterial movement and growth. Hydrobiologia 414, 53–58 (1999). https://doi.org/10.1023/A:1003898728616

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  • DOI: https://doi.org/10.1023/A:1003898728616

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