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Changes in algal bloom dynamics in a regulated large river in response to eutrophic status

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  • Bae, Sunim
  • Seo, Dongil

Abstract

This study aims to analyze the factors affecting algal growth due to hydrologic and hydrodynamic changes resulting from eight weir constructions along a length of 207 km on the Nakdong River. Nutrients for algal growth, light intensity, water temperature, and hydrodynamic conditions were examined to study their relationships with algal blooms. A three-dimensional hydrodynamic and water quality model was calibrated based on data from 2006 to 2008 and verified against data from 2013 to 2015. Four statistics (i.e., R2, ME, Pbias, and CF) were used for the model performance assessment. Changes in algal bloom were not significant in the upper stream area because the nutrient level for algal growth was insufficient compared to that at other locations. On the other hand, as the nutrient concentration increased in the middle stream area, algal blooms increased significantly. The upper and middle streams showed increases in algal growth after the construction of weirs. However, hypereutrophic downstream area locations showed contrasting results, showing an overall reduction in algal growth after the construction of weirs, except for winter, which showed the largest increase in hydraulic residence time. These results seem to have positive and negative effects on algal blooms due to the construction of weirs. The negative effects seem to be greater in hypereutrophic areas because of the decreased average light effect as a result of increased water depth created through the weir constructions, playing a dominant role over the level of nutrients. The impacts of the construction of weirs on the occurrence of algae in the Nakdong River were as follows: 1) As the hydraulic residence time increased, the algal bloom increased where the nutrients were sufficient; 2) when the nutrients were more than sufficient, the average light availability became the dominant factor for algal growth; 3) the temperature effect was not a significant algal-growth-limiting factor for hydrodynamic changes in the river. However, these results have limitations in terms of the model and data accuracy. In order to use them for water resource management, additional field experiments are required for confirmation and verification.

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  • 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).
    • Handle: RePEc:eee:ecomod:v:454:y:2021:i:c:s0304380021001551
    DOI: 10.1016/j.ecolmodel.2021.109590
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    1. Ostojski, Mieczysław S. & Gębala, Joanna & Orlińska-Woźniak, Paulina & Wilk, Paweł, 2016. "Implementation of robust statistics in the calibration, verification and validation step of model evaluation to better reflect processes concerning total phosphorus load occurring in the catchment," Ecological Modelling, Elsevier, vol. 332(C), pages 83-93.
    2. Jia, Haifeng & Zhang, Yansong & Guo, Yu, 2010. "The development of a multi-species algal ecodynamic model for urban surface water systems and its application," Ecological Modelling, Elsevier, vol. 221(15), pages 1831-1838.
    3. 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.
    4. 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.
    5. He, Guojian & Fang, Hongwei & Bai, Sen & Liu, Xiaobo & Chen, Minghong & Bai, Jing, 2011. "Application of a three-dimensional eutrophication model for the Beijing Guanting Reservoir, China," Ecological Modelling, Elsevier, vol. 222(8), pages 1491-1501.
    6. Zhou, Juntao & Falconer, Roger A. & Lin, Binliang, 2014. "Refinements to the EFDC model for predicting the hydro-environmental impacts of a barrage across the Severn Estuary," Renewable Energy, Elsevier, vol. 62(C), pages 490-505.
    7. Shen, Jian & Hong, Bo & Schugam, Leonard & Zhao, Yuan & White, Jeff, 2012. "Modeling of polychlorinated biphenyls (PCBs) in the Baltimore Harbor," Ecological Modelling, Elsevier, vol. 242(C), pages 54-68.
    8. 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.
    9. Yi, Xuan & Zou, Rui & Guo, Huaicheng, 2016. "Global sensitivity analysis of a three-dimensional nutrients-algae dynamic model for a large shallow lake," Ecological Modelling, Elsevier, vol. 327(C), pages 74-84.
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