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A review of the models for Lake Taihu and their application in lake environmental management

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  • Hu, Weiping

Abstract

Lake Taihu is well-known for its important role in the social and economic development of the region as well as its dramatic environmental degradation and the concomitant eutrophication and cyanobacterial blooms that have occurred over the past 30 years. As the degradation and algae bloom have progressed, a series of models for the lake were developed and published. This paper summarizes those lake models. The primary models of the lake water's current stemmed from the late 1980s and were typically two-dimensional, vertically integrated surfaces that relied on the application of the finite difference and finite element methods in the Cartesian coordinate system. As the eutrophication and algae bloom developed further, sediment re-suspension fluctuations, matter transformation and cycling models were constructed to capture the water quality variation and reveal the mechanism of nutrient supply to the algae. Ecological models have been constructed over the past 15 years to predict and warn against future algae blooms. Among these models, the Ecotaihu model (from its initial version to the latest version) successfully coupled physical, chemical and biological processes to become the most complete model of the lake system to date. The model also features the greatest array of applications. The development of multiple models of the lake's processes reveals that (1) the magnitude of observations and routine monitoring data promote the construction of more complex and powerful models; (2) the necessity of lake pollution controls and restoration is a driving force advancing the construction of complete lake models; (3) the model parameters have received more attention, and the inclusion of more model parameters identified through on-site observations and experiments would reduce the Ecotaihu model's output deviation and broaden the model's application; and (4) an updated version of the Ecotaihu model that incorporates the river basin network model and the atmospheric model will be developed in the near future and will be based on the structural dynamic model.

Suggested Citation

  • Hu, Weiping, 2016. "A review of the models for Lake Taihu and their application in lake environmental management," Ecological Modelling, Elsevier, vol. 319(C), pages 9-20.
  • Handle: RePEc:eee:ecomod:v:319:y:2016:i:c:p:9-20
    DOI: 10.1016/j.ecolmodel.2015.07.028
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    References listed on IDEAS

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    1. Han, Hongjuan & Hu, Weiping, 2012. "Modeling the species shift from Potamogeton malaianus Miq. to Potamogeton maackianus A. Bennett in the experiment pond," Ecological Modelling, Elsevier, vol. 242(C), pages 10-19.
    2. Han, Hongjuan & Chen, Yonggen & Jørgensen, Sven Erik & Nielsen, Søren Nors & Hu, Weiping, 2009. "A system-dynamic model on the competitive growth between Potamogeton malaianus Miq. and Spirogyra sp," Ecological Modelling, Elsevier, vol. 220(18), pages 2206-2217.
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    Cited by:

    1. Jing Chen & Yongqiang Zhou & Yunlin Zhang, 2022. "New Insights into Microbial Degradation of Cyanobacterial Organic Matter Using a Fractionation Procedure," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    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. Wang, Yanping & Peng, Zhaoliang & Liu, Gang & Zhang, Hui & Zhou, Xiangqian & Hu, Weiping, 2023. "A mathematical model for phosphorus interactions and transport at the sediment-water interface in a large shallow lake," Ecological Modelling, Elsevier, vol. 476(C).
    4. 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.
    5. 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).
    6. Jiancai Deng & Fang Chen & Weiping Hu & Xin Lu & Bin Xu & David P. Hamilton, 2019. "Variations in the Distribution of Chl- a and Simulation Using a Multiple Regression Model," IJERPH, MDPI, vol. 16(22), pages 1-16, November.

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