It would be greatly helpful to neophytes if knowledge-based system technology incorporating the existing heuristic knowledge about model manipulation can be integrated into the hydrological system. This paper delineates the development and implementation of a prototype knowledgebased system for model manipulation for hydrological processes by employing an expert system shell. The architecture and main components of the system are presented. The prototype system is verified and validated in two real watershed applications. It helps inexperienced users of hydrological models make the right choice of the appropriate model and/or direct the users throughout the calibration process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.