Application of Genetic Programming to Identifying Water-Level and Storage-Capacity Curve of the Xingxingshao Reservoir

摘要

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.