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An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method

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  • Fei Guo

    (Nanjing Normal University
    Key Laboratory of Virtual Geographic Environment Nanjing Normal University, Ministry of Education
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Jingjia Zhang

    (Nanjing Normal University
    Key Laboratory of Virtual Geographic Environment Nanjing Normal University, Ministry of Education
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • A-xing Zhu

    (University of Wisconsin Madison)

  • Zhuo Zhang

    (Nanjing Normal University
    Key Laboratory of Virtual Geographic Environment Nanjing Normal University, Ministry of Education
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

  • Hong Zhang

    (Nanjing Normal University
    Key Laboratory of Virtual Geographic Environment Nanjing Normal University, Ministry of Education
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application)

Abstract

Suspended sediments, one of the most important factors affecting the water environments of inland lakes, are closely related to the migration and interaction of various pollutants. Existing studies show that the suspended sediment concentration can be accurately predicted based on assimilation methods coupled with hydrodynamic models. However, in the hydrological assimilation simulation process, the existing perturbation generation methods consider the perturbation error to follow a random Gaussian distribution, which does not consider the spatial variation characteristics of errors. Thus, in this paper, we proposed a new method that generates a hybrid perturbation field for the assimilation simulation instead of using random error. The proposed approach was validated through assimilation simulations of the suspended sediment concentration of Taihu Lake, China, and five assimilation experiments were conducted. The proposed method was compared with the existing methods for generating the perturbation field. After three days and 72 time steps of assimilation simulation based on the hybrid perturbation field, the proposed assimilation method provided results that were more consistent with the buoy-measured data. These findings demonstrate that the proposed method for generating a hybrid perturbation field has a higher simulation accuracy than other methods and is therefore effective and provides a new idea for the assimilation simulation of suspended sediment concentrations in inland lakes.

Suggested Citation

  • Fei Guo & Jingjia Zhang & A-xing Zhu & Zhuo Zhang & Hong Zhang, 2021. "An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 2007-2022, April.
  • Handle: RePEc:spr:waterr:v:35:y:2021:i:6:d:10.1007_s11269-021-02827-1
    DOI: 10.1007/s11269-021-02827-1
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    References listed on IDEAS

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    1. Jinglu Wu & Haiao Zeng & Hong Yu & Long Ma & Longsheng Xu & Boqiang Qin, 2012. "Water and Sediment Quality in Lakes along the Middle and Lower Reaches of the Yangtze River, China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3601-3618, September.
    2. Kouakou Kouassı & Kouassi Kouame & Kouakou Konan & Martin Sanchez Angulo & Moussa Deme & N’Diaye Meledje, 2013. "Two-Dimensional Numerical Simulation of the Hydro-Sedimentary Phenomena in Lake Taabo, Côte d’Ivoire," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(12), pages 4379-4394, September.
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    Cited by:

    1. Yi Tang & Yang Pan & Lei Zhang & Hongchen Yi & Yiping Gu & Weihao Sun, 2023. "Efficient Monitoring of Total Suspended Matter in Urban Water Based on UAV Multi-spectral Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(5), pages 2143-2160, March.
    2. Seyed Masoud Soleimanpour & Hamid Gholami & Omid Rahmati & Samad Shadfar, 2023. "Fingerprinting Sources of Fine-grained Sediment Deposited in a Riverine System by GLUE," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 899-913, January.

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