Yishusi River Flood Forecast And Model Study

Flood forecast in the area of semi-arid and semi-humid region is very complicated. The traditional Xin'anjiang model could not produce satisfactory result in the area. In this paper the runoff formation in excess of infiltration is attempted to be integrated into the Xin'anjiang model, in order to improve the Xin'anjiang model and make it applicable in the area of semi-arid and semi-humid. The least square method of error self-regression is used to correct the result of the real time flood forecasting. The method mentioned above can procure better forecast result when used in the drainage area of Linyi.In this paper the study is carried out with the drainage area of Linyi as research background and the following sub-systems are developed: data extraction and processing, information query and modification, real time flood forecasting, traditional experience real time flood forecasting method, result display and output and user administration sub-systems. The real time flood forecasting and flood management system of Yishusi Watershed composed of the six sub-systems and can meet the requirements of real time flood control and decision-making.