Machine Learning Classification of Elevated Discharge in the Koksu River Basin, Kazakhstan: Benchmarking Against Persistence and Illustrative DEM-Based Inundation Scenarios
In data-sparse Central Asian watersheds, machine learning and Geographic Information Systems (GIS) are increasingly applied to hydrological hazard classification. This article compares Random Forest (RF), XGBoost, and Long Short-Term Memory (LSTM) models for daily elevated-discharge classification in the Koksu River ba...