Author(s): Ningning Li; Chao Tan; Bikui Zhao; Jing Huang And Yehongping Qin
Linked Author(s):
Keywords: Data Mining Flood Control Reservoir Scheduling BPANN Model Maximum Information Coefficient (MIC)
Abstract: The accurate assessment of the relationship between reservoir outflow and downstream floods is often challenging in flood control scheduling of upstream reservoirs aimed at downstream flood protection. Utilizing a dataset encompassing 62 years of daily measured flood processes, the MIC coefficient is employed to determine the correlation between the reservoir outflow process at different lag times and the flow at the downstream section. The flood propagation time is determined by identifying the lag time associated with the maximum MIC value. By utilizing the BPANN model, which incorporates the reservoir outflow process and the interval flood process as inputs, an accurate prediction of the downstream flood process is achieved, resulting in a closer approximation to reality in flood estimation at the downstream section.
Year: 2025