A hybrid framework integrating quantile regression and isolation forest for reservoir water level anomaly detection in early warning applications
Reservoir water level monitoring and early warning are critical components of flood control and disaster mitigation in river basins, as they can effectively prevent dam failures or downstream flooding. However, existing reservoir monitoring systems generally suffer from response delays and ineffective early warnings wh...