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A linked hydrodynamic, water quality and algal biomass model for a large, multi-basin lake: A working management tool

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  • Zhang, Weitao
  • Watson, Sue B.
  • Rao, Yerubandi R.
  • Kling, Hedy J.

Abstract

This paper describes a simple modelling framework to predict water quality and algal biomass in large, complex lakes with insufficient and often multifarious data and challenging logistics. We applied a linked model design to Lake of the Woods (LOW) as a case study, using output from hydrodynamic, mass balance and empirical models to predict spatial differences in nutrients (total phosphorus (TP)), and algal and cyanobacterial standing stock (chlorophyll-a (chla), biovolume-derived biomass and cyanobacterial dominance). Our models reproduced observed temporal and spatial distribution of TP and chla well. The central and south segments behaved like shallow lakes with strong variability in TP and phytoplankton biomass, whereas two relatively isolated and deeper segments in the north were characterized with less variability in TP and lower phytoplankton biomass. Algal biomass and cyanobacterial dominance were best predicted in the more eutrophic southern sectors; however the fit was strongly dependent on the source of biomass data. The results reinforce the need to apply a multi segmental model to these systems which cannot be effectively modelled using a single box approach because of spatial differences in hydrodynamics and topography.

Suggested Citation

  • Zhang, Weitao & Watson, Sue B. & Rao, Yerubandi R. & Kling, Hedy J., 2013. "A linked hydrodynamic, water quality and algal biomass model for a large, multi-basin lake: A working management tool," Ecological Modelling, Elsevier, vol. 269(C), pages 37-50.
    • Handle: RePEc:eee:ecomod:v:269:y:2013:i:c:p:37-50
    DOI: 10.1016/j.ecolmodel.2013.08.018
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    1. Zhang, Weitao & Kim, Dong-Kyun & Rao, Yerubandi R. & Watson, Sue & Mugalingam, Shan & Labencki, Tanya & Dittrich, Maria & Morley, Andrew & Arhonditsis, George B., 2013. "Can simple phosphorus mass balance models guide management decisions? A case study in the Bay of Quinte, Ontario, Canada," Ecological Modelling, Elsevier, vol. 257(C), pages 66-79.
    2. Kim, Dong-Kyun & Zhang, Weitao & Rao, Yerubandi R. & Watson, Sue & Mugalingam, Shan & Labencki, Tanya & Dittrich, Maria & Morley, Andrew & Arhonditsis, George B., 2013. "Improving the representation of internal nutrient recycling with phosphorus mass balance models: A case study in the Bay of Quinte, Ontario, Canada," Ecological Modelling, Elsevier, vol. 256(C), pages 53-68.
    3. Arhonditsis, George B. & Qian, Song S. & Stow, Craig A. & Lamon, E. Conrad & Reckhow, Kenneth H., 2007. "Eutrophication risk assessment using Bayesian calibration of process-based models: Application to a mesotrophic lake," Ecological Modelling, Elsevier, vol. 208(2), pages 215-229.
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    1. Dash, Siddhant & Kalamdhad, Ajay S., 2022. "Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping," Ecological Modelling, Elsevier, vol. 472(C).

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