Abstract
ABSTRACT Four data-driven hydrological flood forecasting methods are applied at 20 locations in Pahang River basin, Malaysia (area 30 000 km2). Models are calibrated and validated using historical monsoon flood data. To improve real-time forecast accuracy with 48-h lead time, continuous error correction is applied. An analysis of model performance above the alert water level shows that key forecast points along the main reach are best predicted using a stage regression method, whereas the upstream-most stations are best modelled using rainfall-stage correlation. The unit hydrograph method and Sugawara’s tank model perform well in the intermediate tributaries. Contrary to applying a single model to multiple points of interest or an ensemble model which requires evaluation of multiple models during operation, the multi-model approach allows the practical use of only the best-performing primary or secondary models at different points of interest within a large river basin to produce a reliable overall forecast with equal lead time.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
