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Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake

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Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake. / Hedger, R. D.; Malthus, T. J.; Olsen, N. R. B. et al.
GeoComputation99 : Fourth International Conference on GeoComputation. ed. / J. Diaz; R. Tynes; D. Caldwell; J. Ehlen. Leeds: GeoComputation CD-ROM, 1999.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Hedger, RD, Malthus, TJ, Olsen, NRB, George, DG & Atkinson, PM 1999, Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake. in J Diaz, R Tynes, D Caldwell & J Ehlen (eds), GeoComputation99 : Fourth International Conference on GeoComputation. GeoComputation CD-ROM, Leeds.

APA

Hedger, R. D., Malthus, T. J., Olsen, N. R. B., George, D. G., & Atkinson, P. M. (1999). Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake. In J. Diaz, R. Tynes, D. Caldwell, & J. Ehlen (Eds.), GeoComputation99 : Fourth International Conference on GeoComputation GeoComputation CD-ROM.

Vancouver

Hedger RD, Malthus TJ, Olsen NRB, George DG, Atkinson PM. Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake. In Diaz J, Tynes R, Caldwell D, Ehlen J, editors, GeoComputation99 : Fourth International Conference on GeoComputation. Leeds: GeoComputation CD-ROM. 1999

Author

Hedger, R. D. ; Malthus, T. J. ; Olsen, N. R. B. et al. / Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake. GeoComputation99 : Fourth International Conference on GeoComputation. editor / J. Diaz ; R. Tynes ; D. Caldwell ; J. Ehlen. Leeds : GeoComputation CD-ROM, 1999.

Bibtex

@inproceedings{526447b1f4ab49e9b20262ae933c8815,
title = "Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake",
abstract = "The relationships between the spatio-temporal distribution of phytoplankton concentration and the environmental conditions of Esthwaite Water (a small eutrophic lake in the English Lake District, U.K.) were examined using a 3-D computational fluid dynamics (CFD) model. The water velocity field was obtained through solving the 3-D Navier Stokes equation for turbulent flow on a finite-volume, unstructured non-orthogonal grid. The spatio-temporal distributions of two types of phytoplankton were modelled: the cyanobacterium Microcystis, and the dinoflagellate Ceratium. Cyanobacterial buoyancy were estimated according to the Kromkamp and Walsby model, and dinoflagellate motility was estimated according to a model that we devised using empirical data from Esthwaite Water and other similar lakes. Circulation patterns of water and phytoplankton, as simulated by the CFD model, were similar to those obtained through field observations. Downwind surface drift currents were initiated by wind stress, with sub-surface return gradient currents initiated near the thermocline. Near-surface accumulations of cyanobacteria were pushed downwind by the surface currents and accumulated at downwelling areas, and near-thermocline accumulations of dinoflagellates were pushed upwind by the sub-surface return currents, and accumulated at upwelling areas. In all cases, the Coriolis force greatly influenced patterns, causing a clockwise deflection of water flow and phytoplankton accumulation. Through the use of the CFD model, it was possible to conclude that the horizontal and vertical phytoplankton distributions resulted from the interaction between the vertical motility of the phytoplankton (dependent on the light environment) and the velocity vectors at the depths at which the phytoplankton accumulated (dependent upon wind stress and basin morphometry). ",
author = "Hedger, {R. D.} and Malthus, {T. J.} and Olsen, {N. R. B.} and George, {D. G.} and Atkinson, {Peter M.}",
year = "1999",
language = "English",
isbn = "0953347710",
editor = "J. Diaz and R. Tynes and D. Caldwell and J. Ehlen",
booktitle = "GeoComputation99",
publisher = "GeoComputation CD-ROM",

}

RIS

TY - GEN

T1 - Dynamic modelling of the spatio-temporal distribution of phytoplankton in a small productive English lake

AU - Hedger, R. D.

AU - Malthus, T. J.

AU - Olsen, N. R. B.

AU - George, D. G.

AU - Atkinson, Peter M.

PY - 1999

Y1 - 1999

N2 - The relationships between the spatio-temporal distribution of phytoplankton concentration and the environmental conditions of Esthwaite Water (a small eutrophic lake in the English Lake District, U.K.) were examined using a 3-D computational fluid dynamics (CFD) model. The water velocity field was obtained through solving the 3-D Navier Stokes equation for turbulent flow on a finite-volume, unstructured non-orthogonal grid. The spatio-temporal distributions of two types of phytoplankton were modelled: the cyanobacterium Microcystis, and the dinoflagellate Ceratium. Cyanobacterial buoyancy were estimated according to the Kromkamp and Walsby model, and dinoflagellate motility was estimated according to a model that we devised using empirical data from Esthwaite Water and other similar lakes. Circulation patterns of water and phytoplankton, as simulated by the CFD model, were similar to those obtained through field observations. Downwind surface drift currents were initiated by wind stress, with sub-surface return gradient currents initiated near the thermocline. Near-surface accumulations of cyanobacteria were pushed downwind by the surface currents and accumulated at downwelling areas, and near-thermocline accumulations of dinoflagellates were pushed upwind by the sub-surface return currents, and accumulated at upwelling areas. In all cases, the Coriolis force greatly influenced patterns, causing a clockwise deflection of water flow and phytoplankton accumulation. Through the use of the CFD model, it was possible to conclude that the horizontal and vertical phytoplankton distributions resulted from the interaction between the vertical motility of the phytoplankton (dependent on the light environment) and the velocity vectors at the depths at which the phytoplankton accumulated (dependent upon wind stress and basin morphometry).

AB - The relationships between the spatio-temporal distribution of phytoplankton concentration and the environmental conditions of Esthwaite Water (a small eutrophic lake in the English Lake District, U.K.) were examined using a 3-D computational fluid dynamics (CFD) model. The water velocity field was obtained through solving the 3-D Navier Stokes equation for turbulent flow on a finite-volume, unstructured non-orthogonal grid. The spatio-temporal distributions of two types of phytoplankton were modelled: the cyanobacterium Microcystis, and the dinoflagellate Ceratium. Cyanobacterial buoyancy were estimated according to the Kromkamp and Walsby model, and dinoflagellate motility was estimated according to a model that we devised using empirical data from Esthwaite Water and other similar lakes. Circulation patterns of water and phytoplankton, as simulated by the CFD model, were similar to those obtained through field observations. Downwind surface drift currents were initiated by wind stress, with sub-surface return gradient currents initiated near the thermocline. Near-surface accumulations of cyanobacteria were pushed downwind by the surface currents and accumulated at downwelling areas, and near-thermocline accumulations of dinoflagellates were pushed upwind by the sub-surface return currents, and accumulated at upwelling areas. In all cases, the Coriolis force greatly influenced patterns, causing a clockwise deflection of water flow and phytoplankton accumulation. Through the use of the CFD model, it was possible to conclude that the horizontal and vertical phytoplankton distributions resulted from the interaction between the vertical motility of the phytoplankton (dependent on the light environment) and the velocity vectors at the depths at which the phytoplankton accumulated (dependent upon wind stress and basin morphometry).

M3 - Conference contribution/Paper

SN - 0953347710

BT - GeoComputation99

A2 - Diaz, J.

A2 - Tynes, R.

A2 - Caldwell, D.

A2 - Ehlen, J.

PB - GeoComputation CD-ROM

CY - Leeds

ER -