A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology

Thesis (M.Eng.) - Asian Institute of Technology, 1987

Short-term flood forecasting has became more important recently, but expertise is needed to develop and to operate suitable flood forecasting models. In the last two decades, expert systems have been developed to provide the expertise of a "human" expert. A flood forecasting expert system (FFES) is developed in this thesis. The system consists of a knowledge base system and an external system. The external system was converted from an existing important flood forecasting package. However, modifications have also been made, so that the programs of the external system can accept more types of daily discharge, and a wider range of input data, and it is more user-friendly and efficient. The knowledge base system represents the expertise in selecting and in calling up a suitable program for the user. It was built on top of the (external) flood forecasting package and depending on the information provided by the user, it can select a suitable forecasting model to perform the required job. This FFES shows that an expert system can be adapted to sane reliable and existing package possibly by some conversion and modification, thus extending its life cycle.