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Application of a three-dimensional eutrophication model for the Beijing Guanting Reservoir, China

Author

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  • He, Guojian
  • Fang, Hongwei
  • Bai, Sen
  • Liu, Xiaobo
  • Chen, Minghong
  • Bai, Jing

Abstract

The Beijing Guanting Reservoir (BGR) is located northwest of Beijing and has been an important water supply reservoir ever since the construction of a dam near the town of Guanting in 1954. As a result of excessive nutrients and organic carbon loadings from the drainage basin over the last several decades, the BGR suffers from eutrophication as well as other contamination problems and has not been used as a drinking water supply reservoir since 1997. As a management step to restore the reservoir's water quality, a numerical model was developed based on the environmental fluid dynamics code (EFDC) framework. The model simulated three phytoplankton species based on the observed cyanobacteria, green algae, and diatom concentrations in 2004 for the Yongding arm of the reservoir, which is separated from the rest of the reservoir by a sand bar. The model was calibrated with vertical temperature profiles as well as the observed chlorophyll a and nutrients concentrations in the water column. The calibrated model was further applied to investigate management scenarios, which include reduction in external loadings of nutrients with constructed wetlands, biomanipulation, and transferring water from CeTian Reservoir. All three scenarios can reduce the peak chlorophyll a levels in the reservoir. The background nutrients were high, and reducing the external nutrients was effective only after a reduction in background nutrients after phytoplankton growth. The biomanipulation and water transfer scenarios could also delay the occurrence of the peak chlorophyll a. Because the model was developed based on one year of data, the model can only reveal the short-term effects of applying the management scenarios. Future studies will consider the long-term processes, such as diagenesis, when data are available to predict the long-term effects of the scenarios.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ecomod:v:222:y:2011:i:8:p:1491-1501
    DOI: 10.1016/j.ecolmodel.2010.12.006
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    Citations

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    Cited by:

    1. 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.
    2. Dash, Siddhant & Borah, Smitom Swapna & Kalamdhad, Ajay S., 2020. "Study of the limnology of wetlands through a one-dimensional model for assessing the eutrophication levels induced by various pollution sources," Ecological Modelling, Elsevier, vol. 416(C).
    3. 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).
    4. 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.
    5. Yuwei Huang & Chun Yang & Chengcheng Wen & Gang Wen, 2019. "S-type Dissolved Oxygen Distribution along Water Depth in a Canyon-shaped and Algae Blooming Water Source Reservoir: Reasons and Control," IJERPH, MDPI, vol. 16(6), pages 1-14, March.
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. Dai, Dan & Brouwer, Roy & Lei, Kun, 2021. "Measuring the economic value of urban river restoration," Ecological Economics, Elsevier, vol. 190(C).

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