AI-enabled root-cause diagnosis of water quality anomalies in continuous monitoring networks using a retrieval-augmented generation (RAG) approach.
Real-time sensor networks are widely used to monitor the quality of surface waters; however, translating detected anomalies into clear operational actions remains challenging. Deep learning (DL) models can detect deviations effectively, but they rarely provide interpretable or regulation-relevant explanations, and exis...