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Prediction of algal blooming using EFDC model: Case study in the Daoxiang Lake

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  • Wu, Guozheng
  • Xu, Zongxue

Abstract

Algal blooming has become one of the key fields of study on eutrophication of water body recently. The mechanism of algal blooming is still not understood well. However, it is obvious to understand that algal blooming has close relationship with chlorophyll-a. Therefore, if the trends of chlorophyll-a concentration can be simulated accurately, it will be helpful for the prediction of algal bloom events. In this study, a model named Environmental Fluid Dynamics Code (EFDC), which was developed by U.S. Environmental Protection Agency, was described and used to simulate the eutrophication process in the Daoxiang Lake, Beijing. To run the eutrophication model for the Lake, a field sampling was conducted in March–October of 2008 with interval of 10–20 days. Meanwhile, the algal bloom assessment criteria were investigated and the indicator of chlorophyll-a concentration was selected as input for the prediction of algal bloom in the Daoxiang Lake. After model calibration and validation, traditional statistics has been done between modeled results and observed values. The modeled results show that the simulated chlorophyll-a concentration basically agrees with the observed concentration except the later period of station 2# and the average algal bloom prediction accuracy is 63.43%. It was verified that the EFDC model can be used for chlorophyll-a concentration simulation and algal blooming prediction in the Daoxiang Lake.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:6:p:1245-1252
    DOI: 10.1016/j.ecolmodel.2010.12.021
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    References listed on IDEAS

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    1. 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.
    2. Salacinska, K. & El Serafy, G.Y. & Los, F.J. & Blauw, A., 2010. "Sensitivity analysis of the two dimensional application of the Generic Ecological Model (GEM) to algal bloom prediction in the North Sea," Ecological Modelling, Elsevier, vol. 221(2), pages 178-190.
    3. Lui, Gilbert C.S. & Li, W.K. & Leung, Kenneth M.Y. & Lee, Joseph H.W. & Jayawardena, A.W., 2007. "Modelling algal blooms using vector autoregressive model with exogenous variables and long memory filter," Ecological Modelling, Elsevier, vol. 200(1), pages 130-138.
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    7. Gula Tang & Yunqiang Zhu & Guozheng Wu & Jing Li & Zhao-Liang Li & Jiulin Sun, 2016. "Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China," IJERPH, MDPI, vol. 13(4), pages 1-15, April.
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    10. 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.
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    12. Shen, Jian & Qin, Qubin & Wang, Ya & Sisson, Mac, 2019. "A data-driven modeling approach for simulating algal blooms in the tidal freshwater of James River in response to riverine nutrient loading," Ecological Modelling, Elsevier, vol. 398(C), pages 44-54.
    13. 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.
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    15. 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.

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