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This study compares very short-term flood forecasting methods using a physics-based model (WASH123D and HEC-HMS) and a data-driven model (support vector machine) in the Fengshan Creek basin, Taiwan. The results indicate that the physics-based approach provides more accurate predictions of flood levels and timing compared to the SVM model, which struggles with peak flood timing and levels. The findings suggest that integrating these models could enhance flood forecasting accuracy and improve early warning sy

Author

Himanshu Sharma

Language

EN