A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China

Liu, Jianzheng; Li, Weifeng; Wu, Jiansheng

A framework for delineating the regional boundaries of PM2.5 pollution: A case study of China

2018

Liu, Jianzheng | Li, Weifeng | Wu, Jiansheng

Fine particulate matter (PM₂.₅) pollution has been a major issue in many countries. Considerable studies have demonstrated that PM₂.₅ pollution is a regional issue, but little research has been done to investigate the regional extent of PM₂.₅ pollution or to define areas in which PM₂.₅ pollutants interact. To allow for a better understanding of the regional nature and spatial patterns of PM₂.₅ pollution, This study proposes a novel framework for delineating regional boundaries of PM₂.₅ 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 PM₂.₅ boundaries for China are produced and the boundaries define areas where the monthly PM₂.₅ time series of any two cities show, on average, more than 50% similarity with each other. These areas demonstrate straightforwardly that PM₂.₅ pollution is not limited to a single city or a single province. We also found that the PM₂.₅ areas in China tend to be larger in cold months, but more fragmented in warm months, suggesting that, in cold months, the interactions between PM₂.₅ concentrations in adjacent cities are stronger than in warmer months. The proposed framework provides a tool to delineate PM₂.₅ boundaries and identify areas where PM₂.₅ pollutants interact. It can help define air pollution management zones and assess impacts related to PM₂.₅ pollution. It can also be used in analyses of other air pollutants.

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