Research on the Application and Excess Infiltration Simultaneously Comparison of the Excess Storage and Model and the Neural Network Model
Abstract：The hour rainfall, evaporation and inflow flood information of Nianyu mountain reservoir from 1975 to 1999 was used to calibration and verification of the two models, which one was the excess storage and excess infiltration simultaneously model, and the other was the artificial neural network mod-el. The result showed that the overall rates of the two models were within the precision assessment, pass-ing rates were 72.22% and 83.33% , with a certain degree of reliability and predictability. The excess storage and excess infiltration simultaneously model was good at relative error of the overall flow, while the neural network model simulated more accurately in a single flood and the peak error and the time difference of peak appearance. The excess storage and excess infiltration simultaneously model had more hydrological foundation and physical meaning and could use to medium and long-term forecast.
Keywords：hydrological modelthe excess storage and excess infiltration simultaneously modelthe artificial neural networkflood forecast
Publication Date：2012-08-07
Online Publishing Date：2026-09-12(First online date of this platform, not the publication date of the document)
Pages：5( 8-12 )