Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques
Journal of Hydrology(2022)
摘要
•Machine learning assists hybrid model to promote flood forecasting and early warning.•Hybridizing MCQRNN with XAJ model for flood probability density forecasting.•XAJ-MCQRNN conquers overfitting and biased-prediction bottlenecks.•XAJ-MCQRNN improves accuracy and reliability of flood probability density forecasts.
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关键词
Short-term flood forecast,Probability density forecast,Monotone composite quantile regression,Conceptual model,Machine learning
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