Unraveling the Multifactor Predictors of Urban Ozone in China: A Machine Learning Framework for Synergistic Pollution and Greenhouse Gas Mitigation.
As particulate matter pollution declines across Chinese cities, ozone (O3) has emerged as a predominant air quality challenge. This study develops an interpretable, city-scale machine learning (ML) framework to characterize long-term O3 trends, quantify the relative contributions of multifactor predictors, and evaluate...