This article introduced the method of artificial neural network,and build a model of three level feed toward back propagation neural network to simulate actual flood forecast in Qili street hydrometric station of the Minjiang river valley.

This paper presents a mathematical model on one-dimentional unsteady flow,which can beused to the long-distance and long-term flood routing or prediction in the natural channel.

Application of the software of flood forecasting model to flood dispatch;

Anti-error researching of flood forecasting project of double mutual inflow reservoir;

River system flood forecasting based on artificial neural network of radial basis function;

Main framework of digital Yangtze River basin flood forecast system;

Analysis of uncertainty in flood forecast;

A rain-on-snow mixed flood forecast model and its application;

Automatic system of hydrological data acquisition and transmission and flood prediction during construction of Dalong Reservoir;

With three flood prediction schemes including rainfall-runoff prediction,upstream peak discharge synthesis method and instantaneous unit hydrograph,example prediction analysis of typical flood was conducted based on the data from Changle hydrological station on Nanliujiang river.

The new way is seeked under the condition lacking of data when compiling the plan of flood prediction.

Application of digital hydrological model for flood-forecast in Zhexi reservoir;

So it is extremely urgency to build the Flood Control and Anti-Headquarters Decision Support System for Hubei province, and flood-forecast system is a key sub-system of it.