A framework for delineating the regional boundaries of PM pollution: A case study of China.

Fine particulate matter (PM) pollution has been a major issue in many countries. Considerable studies have demonstrated that PM pollution is a regional issue, but little research has been done to investigate the regional extent of PM pollution or to define areas in which PM pollutants interact. To allow for a better understanding of the regional nature and spatial patterns of PM pollution, This study proposes a novel framework for delineating regional boundaries of PM pollution. The framework consists of four steps, including cross-correlation analysis, time-series clustering, generation of Voronoi polygons, and polygon smoothing using polynomial approximation with exponential kernel method. Using the framework, the regional PM boundaries for China are produced and the boundaries define areas where the monthly PM time series of any two cities show, on average, more than 50% similarity with each other. These areas demonstrate straightforwardly that PM pollution is not limited to a single city or a single province. We also found that the PM areas in China tend to be larger in cold months, but more fragmented in warm months, suggesting that, in cold months, the interactions between PM concentrations in adjacent cities are stronger than in warmer months. The proposed framework provides a tool to delineate PM boundaries and identify areas where PM pollutants interact. It can help define air pollution management zones and assess impacts related to PM pollution. It can also be used in analyses of other air pollutants.