Sunyu Xu
Hohai University
4 Papers
8 Citations
Sunyu Xu is an academic researcher from Hohai University. The author has contributed to research in topics: Probabilistic forecasting & Quantitative precipitation forecast. The author has an hindex of 3, co-authored 4 publications.
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Papers
Risk analysis for reservoir flood control operation considering two-dimensional uncertainties based on Bayesian network
TL;DR: A risk analysis model for reservoir flood regulation under two-dimensional uncertainties based on Bayesian network is proposed, which is able to conduct bi-directional inferences and infer the probability distribution of any other node, which has practical value for risk assessment and control of reservoir flood control operation.
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Dynamic long-term streamflow probabilistic forecasting model for a multisite system considering real-time forecast updating through spatio-temporal dependent error correction
Ran Mo,Bin Xu,Ping-an Zhong,Feilin Zhu,Xin Huang,Weifeng Liu,Sunyu Xu,Guoqing Wang,Jianyun Zhang +8 more
TL;DR: A dynamic long-term streamflow probabilistic forecasting model that addresses spatio-temporal dependent error correction for a multisite system is developed and demonstrates that the proposed model improves the accuracy and reliability of Probabilistic streamflow forecasting for complex water resource systems by reducing uncertainty.
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Intelligent identification of effective reservoirs based on the random forest classification model
TL;DR: The results indicate that the RFC model has the characteristic of high classification accuracy, low sensitivity to flood samples and high stability in the dynamic identification of effective reservoirs compared to other models.
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The adaptability of typical precipitation ensemble prediction systems in the Huaihe River basin, China
TL;DR: In this paper, the authors evaluated the performance of five typical operational global ensemble prediction systems (EPSs) from TIGGE (i.e., The Observing System Research and Predictability Experiment Interactive Grand Global Ensemble) and the observed daily precipitation data of 40 meteorological stations over the Huaihe River basin (HB).
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