Rapid Prediction and Source Identification of Accidental River Pollution Using a Hybrid Machine Learning and Optimization Framework
Rapid prediction and source identification of sudden river pollution are essential for emergency response and sustainable water-environment management, whereas conventional numerical models are often computationally intensive and too inefficient for time-critical emergency applications. This study developed an integrat...