IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v454y2021ics0304380021001551.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021001551
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109590?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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bokjin Lee & Heejun Kang & Hye-cheol Oh & Jaehwan Ahn & Saerom Park & Sang-Leen Yun & Seogku Kim, 2022. "Long-Term Examination of Water Chemistry Changes Following Treatment of Cyanobacterial Bloom with Coagulants and Minerals," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    2. 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).
    3. Hanane Rhomad & Karima Khalil & Khalid Elkalay, 2023. "Water Quality Modeling in Atlantic Region: Review, Science Mapping and Future Research Directions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(1), pages 451-499, January.

    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. 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.
    2. 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.
    3. 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).
    4. Akomeah, Eric & Lindenschmidt, Karl-Erich & Chapra, Steven C., 2019. "Comparison of aquatic ecosystem functioning between eutrophic and hypereutrophic cold-region river-lake systems," Ecological Modelling, Elsevier, vol. 393(C), pages 25-36.
    5. 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.
    6. Muhammad Mazhar Iqbal & Muhammad Shoaib & Hafiz Umar Farid & Jung Lyul Lee, 2018. "Assessment of Water Quality Profile Using Numerical Modeling Approach in Major Climate Classes of Asia," IJERPH, MDPI, vol. 15(10), pages 1-26, October.
    7. 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).
    8. 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.
    9. 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).
    10. Angeloudis, Athanasios & Falconer, Roger A., 2017. "Sensitivity of tidal lagoon and barrage hydrodynamic impacts and energy outputs to operational characteristics," Renewable Energy, Elsevier, vol. 114(PA), pages 337-351.
    11. Xu, Zhihao & Yin, Xinan & Yang, Zhifeng & Cai, Yanpeng & Sun, Tao, 2016. "New model to assessing nutrient assimilative capacity in plant-dominated lakes: Considering ecological effects of hydrological changes," Ecological Modelling, Elsevier, vol. 332(C), pages 94-102.
    12. Zou, Rui & Wu, Zhen & Zhao, Lei & Elser, James J. & Yu, Yanhong & Chen, Yihui & Liu, Yong, 2020. "Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake: Insights from a nutrient flux tracking modeling," Ecological Modelling, Elsevier, vol. 416(C).
    13. Roche, R.C. & Walker-Springett, K. & Robins, P.E. & Jones, J. & Veneruso, G. & Whitton, T.A. & Piano, M. & Ward, S.L. & Duce, C.E. & Waggitt, J.J. & Walker-Springett, G.R. & Neill, S.P. & Lewis, M.J. , 2016. "Research priorities for assessing potential impacts of emerging marine renewable energy technologies: Insights from developments in Wales (UK)," Renewable Energy, Elsevier, vol. 99(C), pages 1327-1341.
    14. Angeloudis, Athanasios & Ahmadian, Reza & Falconer, Roger A. & Bockelmann-Evans, Bettina, 2016. "Numerical model simulations for optimisation of tidal lagoon schemes," Applied Energy, Elsevier, vol. 165(C), pages 522-536.
    15. Niu, Zhiguang & Gou, Qianqian & Wang, Xiujun & Zhang, Ying, 2016. "Simulation of a water ecosystem in a landscape lake in Tianjin with AQUATOX: Sensitivity, calibration, validation and ecosystem prognosis," Ecological Modelling, Elsevier, vol. 335(C), pages 54-63.
    16. Bai, Jing & Zhao, Jian & Zhang, Zhenyu & Tian, Ziqiang, 2022. "Assessment and a review of research on surface water quality modeling," Ecological Modelling, Elsevier, vol. 466(C).
    17. 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.
    18. 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).
    19. 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.
    20. 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.

    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:454:y:2021:i:c:s0304380021001551. 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.