PREDICTION OF THE LARGEST EVER FLOOD: CASE STUDY ON TYPHOON RUSA IN 2002 AT THE GAMCHEON BASIN, KOREA

Abstract

This study focuses on a prediction of the largest ever flood, which caused by Typhoon Rusa in 2002 at the GamCheon Basin, Korea, with a distributed hydrologic model. Using hydrologic events data earlier than the typhoon flood, the model was calibrated with the SCE optimization algorithm under various conditions, such as different event size and duration, integrating evaporation information and adopting additional model parameters for distributed land use. As more hydrologic data (evaporation and land use) integrating, the model shows improved simulation behavior for long-term events. However, parameter sets calibrated with short term events provides stable and efficient prediction on the Rusa flood event.