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Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning
更新时间：2025-10-14

    • Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning

    • “In the process of urbanization, the impact of salt tide on water use in estuarine areas has intensified. Experts built a salt tide prediction model in the the Pearl River Estuary based on machine learning to provide scientific support for the safety of water supply in coastal cities.”
    • PEARL RIVER   Vol. 46, Issue 7, Pages: 1-10(2025)

    • DOI：10.3969/j.issn.1001-9235.2025.07.001    

      CLC： TV148

    • Received：15 November 2024，

      Revised：2024-12-31，

      Accepted：08 January 2025，

      Published Online：17 January 2025，

      Published：25 July 2025

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  • DU Boheng,ZHANG Jingwen,KANG Zheng,et al.Prediction and Analysis of Saltwater Intrusion in Pearl River Estuary Based on Machine Learning[J].PEARL RIVER,2025,46(07):1-10. DOI： 10.3969/j.issn.1001-9235.2025.07.001.

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Related Author

DU Boheng
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CHEN Yifan
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LIN Kairong
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Related Institution

School of Civil Engineering, Sun Yat-Sen University
School of Software Engineering, Sun Yat-sen University, Zhuhai 519082, China
Key Laboratory of Marine Civil Engineering in Guangdong Province, School of Civil Engineering, Sun Yat-sen University, Guangzhou 510275, China
The Open Research Fund of Key Laboratory of Water Security Guarantee in Guangdong-Hong Kong-Marco Greater Bay Area of Ministry of Water Resources
School of Environmental Science and Engineering, Southern University of Science and Technology
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