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Three-dimensional model for analysis of spatial and temporal patterns of phytoplankton in Tucuruí reservoir, Pará, Brazil

Author

Listed:
  • Deus, Ricardo
  • Brito, David
  • Kenov, Isabella Ascione
  • Lima, Marcelo
  • Costa, Vanessa
  • Medeiros, Adaelson
  • Neves, Ramiro
  • Alves, C.N.

Abstract

Management and operation of reservoirs require knowledge of cause–effect relationships which influence water quality. In this work, spatial and temporal patterns of phytoplankton in the Tucuruí reservoir, Pará State, Brazil, were studied by following a computer modeling approach. A water quality model was coupled to a 3-D hydrodynamic model. Simulations were carried out in low and high rainfall periods, by using MOHID, a process-oriented modeling system. Modeling results were compared to field data over a 1-year period (1 July 2010–1 July 2011). Field data included water and air temperature, wind, relative humidity, radiation, cloud cover, nitrate, ammonia, phosphorus, and dissolved oxygen. Water flow data were used at the reservoir's inlet and outlet as forcings for simulations. The results indicated that Tucuruí reservoir is a phosphorus limited system, and that phytoplankton growth is limited by hydrodynamics, due to the different nutrients load in low and high rainfall periods over the year. Moreover, modeling results showed that the chlorophyll a is a key factor to define the system's trophic status, since the nutrients may be in excess in the system and can trigger algal blooms. The model enabled a comprehensive understanding of system for developing the best management policy for algal blooms in Tucuruí reservoir.

Suggested Citation

  • Deus, Ricardo & Brito, David & Kenov, Isabella Ascione & Lima, Marcelo & Costa, Vanessa & Medeiros, Adaelson & Neves, Ramiro & Alves, C.N., 2013. "Three-dimensional model for analysis of spatial and temporal patterns of phytoplankton in Tucuruí reservoir, Pará, Brazil," Ecological Modelling, Elsevier, vol. 253(C), pages 28-43.
    • Handle: RePEc:eee:ecomod:v:253:y:2013:i:c:p:28-43
    DOI: 10.1016/j.ecolmodel.2012.10.013
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    References listed on IDEAS

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    1. Jim Giles, 2006. "Tide of censure for African dams," Nature, Nature, vol. 440(7083), pages 393-394, March.
    2. Vassilios Tsihrintzis & Clara Sidan, 1998. "Modeling Urban Stormwater Runoff Processes Using the Santa Barbara Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 12(2), pages 139-166, April.
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    1. Rhomad, Hanane & Khalil, Karima & Neves, Ramiro & Bougadir, Blaid & Elkalay, Khalid, 2021. "Modeling investigation of the nutrients and phytoplankton dynamics in the Moroccan Atlantic coast: A case study of Agadir coast," Ecological Modelling, Elsevier, vol. 447(C).
    2. Seiler, Lilian M.N. & Fernandes, Elisa Helena L. & Martins, Flavio & Abreu, Paulo Cesar, 2015. "Evaluation of hydrologic influence on water quality variation in a coastal lagoon through numerical modeling," Ecological Modelling, Elsevier, vol. 314(C), pages 44-61.
    3. Carina Almeida & Tiago B. Ramos & João Sobrinho & Ramiro Neves & Rodrigo Proença de Oliveira, 2019. "An Integrated Modelling Approach to Study Future Water Demand Vulnerability in the Montargil Reservoir Basin, Portugal," Sustainability, MDPI, vol. 11(1), pages 1-20, January.
    4. Tranmer, Andrew W. & Marti, Clelia L. & Tonina, Daniele & Benjankar, Rohan & Weigel, Dana & Vilhena, Leticia & McGrath, Claire & Goodwin, Peter & Tiedemann, Matthew & Mckean, Jim & Imberger, Jörg, 2018. "A hierarchical modelling framework for assessing physical and biochemical characteristics of a regulated river," Ecological Modelling, Elsevier, vol. 368(C), pages 78-93.
    5. Tong Li & Chunli Chu & Yinan Zhang & Meiting Ju & Yuqiu Wang, 2017. "Contrasting Eutrophication Risks and Countermeasures in Different Water Bodies: Assessments to Support Targeted Watershed Management," IJERPH, MDPI, vol. 14(7), pages 1-18, June.

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