Modeling and Regionalization of China’s PM2.5 Using Spatial-Functional Mixture Models

Decai Liang, Haozhe Zhang, Xiaohui Chang & Hui Huang
Abstract–Severe air pollution affects billions of people around the world, particularly in developing countries such as China. Effective emission control policies rely primarily on a proper assessment of air pollutants and accurate spatial clustering outcomes. Unfortunately, emission patterns are difficult to observe as they are highly confounded by many meteorological and geographical factors. In this study, we propose a novel approach for modeling and clustering PM2.5concentrations across China. We model observed concentrations from monitoring stations...
1 citation reported since publication in 2021.
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