S. Ding

Machine Learning for Ozone Pollution Research: A Chemistry-Informed Framework for Model Selection and Interpretation

Ozone pollution remains a major challenge for air quality management, ecology and public health because of its nonlinear formation chemistry, strong meteorological modulation, multiscale transport and toxicity. Although chemical transport models and conventional statistical approaches are widely used, their ability t...