Modeling streamflow in non-gauged watersheds with sparse data considering physiographic, dynamic climate, and anthropogenic factors using explainable soft computing techniques
Charuni I. Madhushani, K. G. S. Dananjaya, I.U. Ekanayake, D.P.P. Meddage, Komali Kantamaneni, Upaka Rathnayake
Topics & Concepts
InterpretabilityStreamflowComputer scienceArtificial neural networkMachine learningWarning systemArtificial intelligenceFlood forecastingExtreme learning machineEnvironmental scienceDrainage basinCartographyGeographyTelecommunicationsHydrological Forecasting Using AIHydrology and Watershed Management StudiesFlood Risk Assessment and Management