IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v398y2019icp20-34.html
   My bibliography  Save this article

Three-dimensional numerical modeling of the cyanobacterium Microcystis transport and its population dynamics in a large freshwater reservoir

Author

Listed:
  • Liu, Haidong
  • Zheng, Zhongquan C.
  • Young, Bryan
  • Harris, Ted D.

Abstract

Cyanobacterial blooms pose severe ecological and economical threats in lakes and reservoirs. Understanding the complex physical transport and biological features of cyanobacteria (also known as blue-green algae) is important for predicting blooms in freshwater systems. In this study, a three-dimensional model for nonhydrostatic free surface flow and Microcystis sp. (cyanobacteria) transport and associated population dynamics is presented. The hydrodynamic model solves the Reynolds-averaged Navier-Stokes equations using a semi-implicit, fractional time-step finite difference method. The hydrodynamic model can couple Microcystis transport to a population dynamics model that simulates buoyancy, vertical migration, and effects of temperature, light, nutrients, and salinity on the concentration of Microcystis. Microcystis transport was determined by solving the convection-diffusion equation. The vertical migration of Microcystis was simulated based on buoyancy density changes of a colony at a given depth and time due to irradiance. The transient Microcystis production at a given depth was calculated based on the effects of different environmental factors such as depth, irradiance, and temperature. The model was used to analyze the transport and growth of Microcystis in Milford Lake, which is the largest man-made lake in Kansas. Transport and population dynamics of Microcystis under different environmental conditions were simulated, and the effects of different environmental factors were compared in a 20-hour test. Overall, physical processes like wind mixing most effected Microcystis distribution throughout the simulation; when wind was low, water column turbidity effected Microcystis distribution more than temperature or ambient light. This study is the first 3D nonhydrostatic free surface flow computational model that includes Microcystis transport, buoyancy regulation/vertical migration, and population dynamics. Nonhydrostatic models are needed because existing ecological models with hydrostatic approximation can be ill-posed when dealing with open boundaries, and hydrostatic approximation is not valid when dealing with flow over rapidly changing slopes. The current model is a robust and efficient way to model Microcystis transport and can be applied to studies of other surface water systems effectively.

Suggested Citation

  • Liu, Haidong & Zheng, Zhongquan C. & Young, Bryan & Harris, Ted D., 2019. "Three-dimensional numerical modeling of the cyanobacterium Microcystis transport and its population dynamics in a large freshwater reservoir," Ecological Modelling, Elsevier, vol. 398(C), pages 20-34.
    • Handle: RePEc:eee:ecomod:v:398:y:2019:i:c:p:20-34
    DOI: 10.1016/j.ecolmodel.2019.01.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019300420
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.01.022?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Guozheng & Xu, Zongxue, 2011. "Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake," Ecological Modelling, Elsevier, vol. 222(6), pages 1245-1252.
    2. Aparicio Medrano, E. & van de Wiel, B.J.H. & Uittenbogaard, R.E. & Dionisio Pires, L.M. & Clercx, H.J.H., 2016. "Simulations of the diurnal migration of Microcystis aeruginosa based on a scaling model for physical-biological interactions," Ecological Modelling, Elsevier, vol. 337(C), pages 200-210.
    3. Aparicio Medrano, E. & Uittenbogaard, R.E. & Dionisio Pires, L.M. & van de Wiel, B.J.H. & Clercx, H.J.H., 2013. "Coupling hydrodynamics and buoyancy regulation in Microcystis aeruginosa for its vertical distribution in lakes," Ecological Modelling, Elsevier, vol. 248(C), pages 41-56.
    4. Wang, Chao & Feng, Tao & Wang, Peifang & Hou, Jun & Qian, Jin, 2017. "Understanding the transport feature of bloom-forming Microcystis in a large shallow lake: A new combined hydrodynamic and spatially explicit agent-based modelling approach," Ecological Modelling, Elsevier, vol. 343(C), pages 25-38.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kim, Jaeyoung & Seo, Dongil & Jones, John R., 2022. "Harmful algal bloom dynamics in a tidal river influenced by hydraulic control structures," Ecological Modelling, Elsevier, vol. 467(C).
    2. Bae, Sunim & Seo, Dongil, 2021. "Changes in algal bloom dynamics in a regulated large river in response to eutrophic status," Ecological Modelling, Elsevier, vol. 454(C).
    3. Islam, Md. Nazrul & Kitazawa, Daisuke & Kokuryo, Naoki & Tabeta, Shigeru & Honma, Takamitsu & Komatsu, Nobuyuki, 2012. "Numerical modeling on transition of dominant algae in Lake Kitaura, Japan," Ecological Modelling, Elsevier, vol. 242(C), pages 146-163.
    4. Md Jahangir Alam & Dushmanta Dutta, 2016. "A Sub-Catchment Based Approach for Modelling Nutrient Dynamics and Transport at a River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(14), pages 5455-5478, November.
    5. Lee, Ingyu & Hwang, Hyundong & Lee, Jungwoo & Yu, Nayoung & Yun, Jinhuck & Kim, Hyunook, 2017. "Modeling approach to evaluation of environmental impacts on river water quality: A case study with Galing River, Kuantan, Pahang, Malaysia," Ecological Modelling, Elsevier, vol. 353(C), pages 167-173.
    6. Yu, Qian & Liu, Zhaowei & Chen, Yongcan & Zhu, Dejun & Li, Na, 2018. "Modelling the impact of hydrodynamic turbulence on the competition between Microcystis and Chlorella for light," Ecological Modelling, Elsevier, vol. 370(C), pages 50-58.
    7. Wang, Chao & Feng, Tao & Wang, Peifang & Hou, Jun & Qian, Jin, 2017. "Understanding the transport feature of bloom-forming Microcystis in a large shallow lake: A new combined hydrodynamic and spatially explicit agent-based modelling approach," Ecological Modelling, Elsevier, vol. 343(C), pages 25-38.
    8. Shen, Jian & Qin, Qubin & Wang, Ya & Sisson, Mac, 2019. "A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading," Ecological Modelling, Elsevier, vol. 398(C), pages 44-54.
    9. Zhao, Xiaodong & Zhang, Hongjian & Tao, Xiaolei, 2013. "Predicting the short-time-scale variability of chlorophyll a in the Elbe River using a Lagrangian-based multi-criterion analog model," Ecological Modelling, Elsevier, vol. 250(C), pages 279-286.
    10. Md. Islam & Daisuke Kitazawa & Thomas Hamill & Ho-Dong Park, 2013. "Modeling mitigation strategies for toxic cyanobacteria blooms in shallow and eutrophic Lake Kasumigaura, Japan," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(4), pages 449-470, April.
    11. Aparicio Medrano, E. & van de Wiel, B.J.H. & Uittenbogaard, R.E. & Dionisio Pires, L.M. & Clercx, H.J.H., 2016. "Simulations of the diurnal migration of Microcystis aeruginosa based on a scaling model for physical-biological interactions," Ecological Modelling, Elsevier, vol. 337(C), pages 200-210.
    12. Chen, Bokun & Yang, Siyu & Cao, Qi & Qian, Yu, 2020. "Life cycle economic assessment of coal chemical wastewater treatment facing the ‘Zero liquid discharge’ industrial water policies in China: Discharge or reuse?," Energy Policy, Elsevier, vol. 137(C).
    13. Jiang, Long & Li, Yiping & Zhao, Xu & Tillotson, Martin R. & Wang, Wencai & Zhang, Shuangshuang & Sarpong, Linda & Asmaa, Qhtan & Pan, Baozhu, 2018. "Parameter uncertainty and sensitivity analysis of water quality model in Lake Taihu, China," Ecological Modelling, Elsevier, vol. 375(C), pages 1-12.
    14. Luo, Xi & Li, Xuyong, 2018. "Using the EFDC model to evaluate the risks of eutrophication in an urban constructed pond from different water supply strategies," Ecological Modelling, Elsevier, vol. 372(C), pages 1-11.
    15. Li-kun, Yang & Sen, Peng & Xin-hua, Zhao & Xia, Li, 2017. "Development of a two-dimensional eutrophication model in an urban lake (China) and the application of uncertainty analysis," Ecological Modelling, Elsevier, vol. 345(C), pages 63-74.
    16. Gula Tang & Yunqiang Zhu & Guozheng Wu & Jing Li & Zhao-Liang Li & Jiulin Sun, 2016. "Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
    17. Bae, Soonyim & Seo, Dongil, 2018. "Analysis and modeling of algal blooms in the Nakdong River, Korea," Ecological Modelling, Elsevier, vol. 372(C), pages 53-63.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:398:y:2019:i:c:p:20-34. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.