<strong>Performance evaluation of conventional hydrological models and machine learning approaches to simulate streamflow: A case study in Kelani River Basin, Sri Lanka</strong>

Gouri De Silva

Presentation information

[E] Oral

A (Atmospheric and Hydrospheric Sciences ) » A-HW Hydrology & Water Environment

[A-HW30] Hydrology and Water Environment

Wed. May 27, 2026 9:00 AM - 10:30 AM 105 (International Conference Hall, Makuhari Messe)

Chairperson:Hayashi Takeshi(Faculty of Education and Human Studies, Akita University), URAI Atsushi(Shinshu University), Sakakibara Koichi(Department of Environmental Sciences, Faculty of Science, Shinshu University), Masaoka Naoya(Graduate School of Agriculture, Kyoto University), Hama Akira(Graduate School Course of Horticultural Science, Chiba University)

10:15 AM - 10:30 AM

[AHW30-06] Performance evaluation of conventional hydrological models and machine learning approaches to simulate streamflow: A case study in Kelani River Basin, Sri Lanka

*Gouri De Silva¹, R.A.V.D. Rathnayake, M.A.A. Sampath (1. University of Peradeniya)

Keywords:Streamflow simulation, HEC-HMS, Machine Learning, Hybrid model, Kelani river basin, Sri Lanka

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