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.
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Data Availability
High-resolution underwater terrain data were provided by the Chinese government; the authors do not have the right to make these data publicly available on the Internet. The meteorological data and other model simulation data sets used in this study are available from the corresponding author upon reasonable request.
Code availability
The MATLAB code for assimilation and FORTRAN code for the dynamic model of this study are available from the corresponding author upon reasonable request.
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Funding
This work was supported by the National Natural Science Foundation of China (No. 41571386 and No. U1811464) and the Priority Academic Program Development of the Jiangsu Higher Education Institutions (PAPD).
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The method was conceived by Fei Guo and A-xing Zhu, and the experiments were designed by Fei Guo and A-xing Zhu and performed by Jingjia Zhang. The algorithm was conceived, implemented and optimized by Fei Guo, Jingjia Zhang, Zhuo Zhang and Hong Zhang. Fei Guo and Jingjia Zhang took part in writing the paper. A-xing Zhu provided critical review and substantially revised the manuscript. All authors read and approved the final manuscript.
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This paper mainly studies the natural environment of inland lakes, and all analyses were based on previously published studies; thus, ethical approval was not required for this research.
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Guo, F., Zhang, J., Zhu, Ax. et al. An Assimilation Simulation Approach for the Suspended Sediment Concentration in Inland Lakes Using a Hybrid Perturbation Generation Method. Water Resour Manage 35, 2007–2022 (2021). https://doi.org/10.1007/s11269-021-02827-1
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DOI: https://doi.org/10.1007/s11269-021-02827-1