Knowledge Management On Watershed Hydrology Forecast Models

With the popularization of computer more and more watershed hydrology forecast models are proposed. There is an increasing demand to manage watershed hydrology forecast models in order to assist study, selection and parameter initialization. The focus of this paper is knowledge management on watershed hydrology forecast models. The main research contents are as follows:Knowledge management system on watershed hydrology forecast models is to help users to select an appropriate model, initialize parameters and comprehend the physics mechanism of models and the meaning of parameters farther by evaluating the selected model and parameters.Knowledge base, which is used to store the knowledge expressed in proper forms, is the center of knowledge management. In this paper, the method of developing Knowledge base is described. The class definitions and knowledge rules are delineated. At the same time, inference engine is given.By use of Visual Rule Studio, a hybrid expert system shell, as an ActiveX Designer under Microsoft Visual Basic 6.0, a software system of watershed hydrology forecast models is developed successfully and integrated into reservoir flood control system.Finally, a summary is given and some problems to be further studied are discussed.