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Evaluation and application of a three-dimensional water quality model in a shallow lake with complex morphometry

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  • Missaghi, Shahram
  • Hondzo, Miki

Abstract

Fundamental hydrodynamic and ecological processes of a lake or reservoir could be adequately depicted by one-dimensional (1D) numerical simulation models. Whereas, lakes with significant horizontal water quality and hydrodynamic gradients due to their complex morphometry, inflow or water level fluctuations require a three-dimensional (3D) hydrodynamics and ecological analyses to accurately simulate their temporal and spatial dynamics. In this study, we applied a 3D hydrodynamic model (ELCOM) coupled with an ecological model (CAEDYM) to simulate water quality parameters in three bays of the morphologically complex Lake Minnetonka. A considerable effort was made in setting up the model and a systematic parameterization approach was adopted to estimate the value of parameters based on their published values. Model calibration covered the entire length of the simulation periods from March 29 to October 20, 2000. Sensitivity analysis identified the top parameters with the largest contributions to the sensitivity of model results. The model was next verified with the same setup and parameter values for the period of April 25 to October 10, 2005 against field data. Spatial and temporal dynamics were well simulated and model output results of water temperature (T), dissolved oxygen (DO), total phosphorus (TP) and one group of algae (Cyanobacteria) represented as chlorophyll a (Chla) compared well with an extensive field data in the bays. The results show that the use of the model along with an accurate bathymetry, a systematic calibration and corroboration (verification) process will help to analyze the hydrodynamics and geochemical processes of the morphologically complex Lake Minnetonka. An example of an ecological application of the model for Lake Minnetonka is presented by examining the effect of spatial heterogeneity on coolwater fish habitat analysis in 3D and under a scenario where horizontal spatial heterogeneity was eliminated (1D). Both analyses captured seasonal fish habitat changes and the total seasonal averages differed moderately. However, the 1D analysis did not capture local and short duration variabilities and missed suitable fish habitat variations of as much as 20%. The experiment highlighted the need for a 3D analysis in depicting ecological hot spots such as unsuitable fish habitats in Lake Minnetonka.

Suggested Citation

  • Missaghi, Shahram & Hondzo, Miki, 2010. "Evaluation and application of a three-dimensional water quality model in a shallow lake with complex morphometry," Ecological Modelling, Elsevier, vol. 221(11), pages 1512-1525.
    • Handle: RePEc:eee:ecomod:v:221:y:2010:i:11:p:1512-1525
    DOI: 10.1016/j.ecolmodel.2010.02.006
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    References listed on IDEAS

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    1. Trolle, Dennis & Skovgaard, Henrik & Jeppesen, Erik, 2008. "The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM," Ecological Modelling, Elsevier, vol. 219(1), pages 138-152.
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    1. Lindim, C. & Pinho, J.L. & Vieira, J.M.P., 2011. "Analysis of spatial and temporal patterns in a large reservoir using water quality and hydrodynamic modeling," Ecological Modelling, Elsevier, vol. 222(14), pages 2485-2494.
    2. Niu, Zhiguang & Gou, Qianqian & Wang, Xiujun & Zhang, Ying, 2016. "Simulation of a water ecosystem in a landscape lake in Tianjin with AQUATOX: Sensitivity, calibration, validation and ecosystem prognosis," Ecological Modelling, Elsevier, vol. 335(C), pages 54-63.
    3. Muhammad Mazhar Iqbal & Muhammad Shoaib & Hafiz Umar Farid & Jung Lyul Lee, 2018. "Assessment of Water Quality Profile Using Numerical Modeling Approach in Major Climate Classes of Asia," IJERPH, MDPI, vol. 15(10), pages 1-26, October.
    4. Nakhaei, Nader & Boegman, Leon & Mehdizadeh, Mahyar & Loewen, Mark, 2021. "Three-dimensional biogeochemical modeling of eutrophication in Edmonton stormwater ponds," Ecological Modelling, Elsevier, vol. 456(C).
    5. Shahram Missaghi & Miki Hondzo & William Herb, 2017. "Prediction of lake water temperature, dissolved oxygen, and fish habitat under changing climate," Climatic Change, Springer, vol. 141(4), pages 747-757, April.
    6. Chung, S.W. & Imberger, J. & Hipsey, M.R. & Lee, H.S., 2014. "The influence of physical and physiological processes on the spatial heterogeneity of a Microcystis bloom in a stratified reservoir," Ecological Modelling, Elsevier, vol. 289(C), pages 133-149.
    7. Bojun Liu & Jun Xia & Feilin Zhu & Jin Quan & Hao Wang, 2021. "Response of Hydrodynamics and Water-quality Conditions to Climate Change in a Shallow Lake," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4961-4976, November.
    8. Li, Weiming & Chen, Qiuwen & Cai, Desuo & Li, Ruonan, 2015. "Determination of an appropriate ecological hydrograph for a rare fish species using an improved fish habitat suitability model introducing landscape ecology index," Ecological Modelling, Elsevier, vol. 311(C), pages 31-38.
    9. Zouiten, Hala & Díaz, César Álvarez & Gómez, Andrés García & Cortezón, José Antonio Revilla & Alba, Javier García, 2013. "An advanced tool for eutrophication modeling in coastal lagoons: Application to the Victoria lagoon in the north of Spain," Ecological Modelling, Elsevier, vol. 265(C), pages 99-113.

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