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Combining Lattice Boltzmann method and genetic algorithm to optimize the layout of artificial floating islands in river network in China

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Abstract

How to solve the pollution problem of water environment in river network is a hot issue in the world. Artificial floating island is an efficient way to deal with water pollution. Taking Jiashan, Zhejiang, China, as an example, Lattice Boltzmann method (LBM) is used to simulate the law of hydrodynamics and pollutant transport in river network. Lattice Boltzmann equations are established in both artificial floating island and non-artificial floating island sections, and the river network boundary is automatically identified. The simulation results have high accuracy and are more suitable for the establishment of complex boundaries. On this basis, combined with the genetic algorithm (GA) module, the location of the artificial floating island is optimized, and the retention ratio of the pollution in optimized layout of artificial floating island is between and 2.4 and 7.2%. The research results of this paper can provide theoretical reference for the selection and location of artificial floating island in practical engineering.

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All data generated or analyzed during this study are included in this published article (and its supplementary information files).

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Funding

Supported by the National Science Foundation for Young Scientists of China (Grant No. 42207099); Scientific research foundation of Zhejiang University of Water Resources and Electric Power (xky2022004), the Natural Science Foundation of Zhejiang Province: LQ21E090003, the Key Technology Research and Development Program of Zhejiang (No. 2021C03019), the National Science Foundation for Young Scientists of China (Grant No.51909233), the key technology development and application demonstration of comprehensive management and resource utilization of cyanobacteria in Taihu Lake Basin (Key R&D funds of Zhejiang Province: 2021C03196), and the Scientific Research Foundation of Zhejiang University of Water Resources and Electric Power.

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Yu Bai analyzed and interpreted the data and was a major contributor in writing the manuscript. Yizhou Xiao, Yiting Qi, Jinlin Qian, Weidong Xuan, Suli Pan, and Guojin Sun performed the calculation of the model. All authors read and approved the final manuscript.

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Correspondence to Yu Bai.

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Bai, Y., Xiao, Y., Qi, Y. et al. Combining Lattice Boltzmann method and genetic algorithm to optimize the layout of artificial floating islands in river network in China. Environ Sci Pollut Res 30, 22520–22531 (2023). https://doi.org/10.1007/s11356-022-23785-0

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