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Energy Budget, Water Quality Parameters and Primary Production Modeling in Lake Volvi in Northern Greece

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  • Vassilis Z. Antonopoulos

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

  • Soultana K. Gianniou

    (Department of Hydraulics, Soil Science and Agricultural Engineering, School of Agriculture, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece)

Abstract

A lake’s water quality and its ecosystem structure are mainly determined by heat storage change through its energy budget, dissolved oxygen, nutrients and primary productivity. A one-dimensional water quality model for lakes was used to estimate temperature, dissolved oxygen, phytoplankton (as chlorophyll-α), and inorganic and organic phosphorus. Evaporation, energy budget and surface water temperature were also computed. The results of the mathematical model simulation are presented and evaluated. Data from Lake Volvi in Central Macedonia (in northern Greece) for three successive years (2013 to 2015) were used to calibrate and recalibrate the model. The model results of water temperature, dissolved oxygen and primary productivity (Chlα) were compared with measurements for the years 2013 to 2015. The comparison showed that the predicted values of these parameters were all in good agreement with the measurements. The simulation results of water quality parameters generally exhibited the same seasonal dynamic and inter-annual variations as the measured data. The simulation results of the model application provided important information on changes in the physical, chemical and biological variables of the lake. The water temperature and heat fluxes at the water–atmosphere interface are crucial variables related to climate changes.

Suggested Citation

  • Vassilis Z. Antonopoulos & Soultana K. Gianniou, 2023. "Energy Budget, Water Quality Parameters and Primary Production Modeling in Lake Volvi in Northern Greece," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2505-:d:1051851
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    References listed on IDEAS

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    1. McDonald, C.P. & Bennington, V. & Urban, N.R. & McKinley, G.A., 2012. "1-D test-bed calibration of a 3-D Lake Superior biogeochemical model," Ecological Modelling, Elsevier, vol. 225(C), pages 115-126.
    2. Komatsu, Eiji & Fukushima, Takehiko & Harasawa, Hideo, 2007. "A modeling approach to forecast the effect of long-term climate change on lake water quality," Ecological Modelling, Elsevier, vol. 209(2), pages 351-366.
    3. Ruichen Xu & Yong Pang & Zhibing Hu & Xiaoyan Hu, 2022. "The Spatiotemporal Characteristics of Water Quality and Main Controlling Factors of Algal Blooms in Tai Lake, China," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    4. Saloranta, Tuomo M. & Andersen, Tom, 2007. "MyLake—A multi-year lake simulation model code suitable for uncertainty and sensitivity analysis simulations," Ecological Modelling, Elsevier, vol. 207(1), pages 45-60.
    5. Elpida Kolokytha & Dimitrios Malamataris, 2020. "Integrated Water Management Approach for Adaptation to Climate Change in Highly Water Stressed Basins," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(3), pages 1173-1197, February.
    6. Wei-Dong Zhu & Chu-Yi Qian & Nai-Ying He & Yu-Xiang Kong & Zi-Ya Zou & Yu-Wei Li, 2022. "Research on Chlorophyll-a Concentration Retrieval Based on BP Neural Network Model—Case Study of Dianshan Lake, China," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    7. 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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