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The Hydraulic Driving Mechanisms of Cyanobacteria Accumulation and the Effects of Flow Pattern on Ecological Restoration in Lake Dianchi Caohai

Author

Listed:
  • Peng Zhang

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Rui-Feng Liang

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Peng-Xiao Zhao

    (Power China Hua Dong Engineering Corporation Limited, Hangzhou 310014, China)

  • Qing-Yuan Liu

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Yong Li

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Kai-Li Wang

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Ke-Feng Li

    (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China)

  • Ying Liu

    (Power China Kunming Engineering Corporation Limited, Kunming 650051, China)

  • Peng Wang

    (Power China Kunming Engineering Corporation Limited, Kunming 650051, China)

Abstract

Due to rapid increases in socioeconomic development and the human population over the past few decades, the shallow lakes in China have suffered from eutrophication and poor water quality. The conditions in Lake Dianchi Caohai, which is in the northern part of Lake Dianchi, are considered the most serious. The ecological restoration of Lake Dianchi Caohai began in the late 1980s. Lake managers and the public have been puzzled by the lack of a significant response of the water quality to the flow pattern despite the tremendous investment in water quality improvements. Therefore, lake managers desperately need to understand the responses of pollutant behaviors to proposed management measures. In this paper, a depth-averaged two-dimensional hydrodynamic and water quality model based on hydrological data, measured lake bed elevation, and water quality data is developed to simulate the flow field and water quality of Lake Dianchi Caohai. This model was validated using water quality data from the Caohaizhongxin site in 2016, and a close agreement was found between the model results and observations. Wind-driven circulation in Lake Dianchi Caohai was observed in the model results, which revealed that the lake flow pattern was dominated by wind-driven circulation, while the inflow/outflow played only a subsidiary role during this period. The formation of the wind-driven current in Lake Dianchi Caohai could be roughly divided into three stages. The hydrodynamic processes connected with the distribution of chlorophyll a are evaluated and discussed to adequately understand the hydraulic mechanisms driving the accumulation of cyanobacteria. Moreover, we designed three scenarios after comparing all possible operation scenarios to analyze the contributions of each different operation scenario to the water quality improvements. The optimal ecological operation scenario which has the best impacts on the water quality, especially the reduction in Chla and NH 3 -N concentration, is proposed based on our comprehensive analysis. The water quality improvement and management suggestions proposed in this paper are based on lake flow patterns and make up for previous studies that did not consider the effects of hydraulic characteristics on water quality improvement in Lake Dianchi Caohai.

Suggested Citation

  • Peng Zhang & Rui-Feng Liang & Peng-Xiao Zhao & Qing-Yuan Liu & Yong Li & Kai-Li Wang & Ke-Feng Li & Ying Liu & Peng Wang, 2019. "The Hydraulic Driving Mechanisms of Cyanobacteria Accumulation and the Effects of Flow Pattern on Ecological Restoration in Lake Dianchi Caohai," IJERPH, MDPI, vol. 16(3), pages 1-24, January.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:3:p:361-:d:201317
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    References listed on IDEAS

    as
    1. Hein, Lars, 2006. "Cost-efficient eutrophication control in a shallow lake ecosystem subject to two steady states," Ecological Economics, Elsevier, vol. 59(4), pages 429-439, October.
    2. Qing-Yuan Liu & Jia Li & Rui-Dong An & Yong Li, 2018. "Ecohydraulogical Characteristic Index System of Schizopygopsis younghusbandi during Spawning Periods in the Yarlung Tsangpo River," IJERPH, MDPI, vol. 15(9), pages 1-18, September.
    3. Tao Jiang & Ming Zhong & Ying-jie Cao & Long-jian Zou & Bo Lin & Ai-ping Zhu, 2016. "Simulation of Water Quality under Different Reservoir Regulation Scenarios in the Tidal River," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3593-3607, August.
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    Cited by:

    1. Sorin Avram & Corina Cipu & Ana-Maria Corpade & Carmen Adriana Gheorghe & Nicolae Manta & Mihaita-Iulian Niculae & Ionuţ Silviu Pascu & Róbert Eugen Szép & Steliana Rodino, 2021. "GIS-Based Multi-Criteria Analysis Method for Assessment of Lake Ecosystems Degradation—Case Study in Romania," IJERPH, MDPI, vol. 18(11), pages 1-23, May.
    2. Yuanbi Yi & Min Xiao & Khan M. G. Mostofa & Sen Xu & Zhongliang Wang, 2019. "Spatial Variations of Trace Metals and Their Complexation Behavior with DOM in the Water of Dianchi Lake, China," IJERPH, MDPI, vol. 16(24), pages 1-20, December.
    3. 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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