DocumentCode :
3350792
Title :
Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir
Author :
Li Hongyan ; Jiang Shan ; Bao Xinhua
Author_Institution :
Hydrol. & Water Resources Dept., Jilin Univ., Changchun
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
3
Abstract :
Water-level and storage-capacity curve (WSC) fitting is the foundation and key link of reservoir flood routing programming. Also, its precision directly determines the accuracy of flood routing. In this paper, based on the measured hydrological data, the correlations of water-level and storage-capacity are identified using genetic programming (GP), and the equations of water-level and storage-capacity curve are established. Then, the research results are applied to the feasibility study to enhance the flood limit level of Xingxingshao reservoir. And the results indicate that, compared to the measured data, the water-level and storage-capacity curve identified by GP has a more satisfied accuracy, which provides a fundamental guarantee for the accurate flood routing.
Keywords :
curve fitting; genetic algorithms; geophysics computing; level measurement; reservoirs; Xingxingshao reservoir; genetic programming; reservoir flood routing programming; storage-capacity curve fitting; water-level curve; Floods; Genetic mutations; Genetic programming; Hydrology; Interpolation; Performance evaluation; Reservoirs; Routing; Water resources; Water storage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918182
Filename :
4918182
Link To Document :
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