Using a Bayesian Probabilistic Forecasting Model to Analyze the Uncertainty in Real-Time Dynamic Control of the Flood Limiting Water Level for Reservoir Operation-Reference-Cited by-同舟云学术

Using a Bayesian Probabilistic Forecasting Model to Analyze the Uncertainty in Real-Time Dynamic Control of the Flood Limiting Water Level for Reservoir Operation

Published:2015-02 Issue:2 Volume:20 Page:04014036
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Liu Dedi¹,Li Xiang²,Guo Shenglian³,Rosbjerg Dan⁴,Chen Hua⁵

Affiliation:

1. Associate Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Hubei Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China; presently, Dept. of Environmental Engineering, Technical Univ. of Denmark, Bygningstorvet, Building 115, DK-2800 Kongens Lyngby, Denmark 97201 (corresponding author).

2. Senior Engineer, Bureau of Hydrology of Changjiang (Yangtze) River Water Resources Commission, Wuhan 430072, China.

3. Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Hubei Collaborative Innovation Center for Water Resources Security, Wuhan 430072, China.

4. Professor, Dept. of Environmental Engineering, Technical Univ. of Denmark, Bygningstorvet, Building 115, DK-2800 Kongens Lyngby, Denmark 97201.

5. Associate Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0000979

Reference34 articles.

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3. Cheng C. T. Chau K. W. and Li X. Y. (2007). “Hydrologic uncertainty for Bayesian probabilistic forecasting model based on BP ANN.” 2007 Int. Conf. on Natural Computation (ICNC) IEEE 197–201.

4. Optimizing Hydropower Reservoir Operation Using Hybrid Genetic Algorithm and Chaos

5. General Administration of Quality Supervision Inspection and Quarantine of the People’s Republic of China (AQSIQ) Standardization Administration of the People’s Republic of China (SAC). (2008). “Standard for information and hydrological forecasting.” GB/T 22482-2008.

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