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An advanced tool for eutrophication modeling in coastal lagoons: Application to the Victoria lagoon in the north of Spain

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  • Zouiten, Hala
  • Díaz, César Álvarez
  • Gómez, Andrés García
  • Cortezón, José Antonio Revilla
  • Alba, Javier García

Abstract

A mathematical eutrophication model, EnvHydrEM (Environmental Hydraulics Institute Eutrophication Model), was developed to be applied specifically to coastal lagoons. This model takes into consideration 19 state variables, including phytoplankton, carbon (total inorganic carbon and sediment carbon), phosphorus (organic phosphorus and phosphate), nitrogen (organic nitrogen, ammonia and nitrate), silica (available dissolved and particulate biogenic silica), dissolved oxygen, carbonaceous organic matter, zooplankton, bacterioplankton, detritus, iron (total and ferrous iron) and manganese (total manganese and manganous ion). EnvHydrEM also describes all possible interactions between the considered variables, showing biological and physicochemical processes that can occur in this type of aquatic systems. These are usually characterized by a series of peculiar aspects which result mainly from the complex interaction between inland and marine waters, as well as from a low hydrodynamic renewal rate. To provide an example, the EnvHydrEM model was applied to the study of the eutrophication process in the Victoria lagoon, in northern Spain. In this case study, the proposed model has proved its ability to reproduce the chlorophyll-a concentration trends in the water body. The study also concluded that the Victoria lagoon is a mesotrophic aquatic media in which silica is the most critical factor for the analysis of its eutrophication state, due mainly to the presence of diatoms.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:265:y:2013:i:c:p:99-113
    DOI: 10.1016/j.ecolmodel.2013.06.009
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    Cited by:

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    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. 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).
    4. 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.
    5. 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.
    6. Osakpolor, Stephen E. & Kattwinkel, Mira & Schirmel, Jens & Feckler, Alexander & Manfrin, Alessandro & Schäfer, Ralf B., 2021. "Mini-review of process-based food web models and their application in aquatic-terrestrial meta-ecosystems," Ecological Modelling, Elsevier, vol. 458(C).
    7. Ertürk, Ali & Sakurova, Ilona & Zilius, Mindaugas & Zemlys, Petras & Umgiesser, Georg & Kaynaroglu, Burak & Pilkaitytė, Renata & Razinkovas-Baziukas, Artūras, 2023. "Development of a pelagic biogeochemical model with enhanced computational performance by optimizing ecological complexity and spatial resolution," Ecological Modelling, Elsevier, vol. 486(C).

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