A Review of AI Methods for the Prediction of High-Flow Extremal Hydrology
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DOI: 10.1007/s11269-022-03240-y
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- Yiheng Li & Weidong Chen, 2020. "A Comparative Performance Assessment of Ensemble Learning for Credit Scoring," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
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- Fiaz Hussain & Ray-Shyan Wu & Jing-Xue Wang, 2021. "Comparative study of very short-term flood forecasting using physics-based numerical model and data-driven prediction model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 249-284, May.
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Cited by:
- Kouao Laurent Kouadio & Jianxin Liu & Serge Kouamelan Kouamelan & Rong Liu, 2023. "Ensemble Learning Paradigms for Flow Rate Prediction Boosting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4413-4431, September.
- Jingwei Huang & Hui Qin & Yongchuan Zhang & Dongkai Hou & Sipeng Zhu & Pingan Ren, 2023. "Short-term Prediction Method of Reservoir Downstream Water Level Under Complicated Hydraulic Influence," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(11), pages 4475-4490, September.
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Keywords
High-flow; Hydrological extremes; Artificial intelligence; Flood prediction; Forecasting system; SWOT analysis;All these keywords.
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