Short-term flood probability density forecasting using a conceptual hydrological model with machine learning techniques

Journal of Hydrology(2022)

引用 32|浏览7
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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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