Non-Linear Response of PM2.5 Pollution to Land Use Change in China

Land use change has an important influence on the spatial and temporal distribution of PM2.5 concentration. Therefore, based particulate matter (PM2.5) data from remote sensing instruments land in long time series, Getis-Ord Gi* statistic SP-SDM are employed to analyze pattern its response China. It is found that average increased 25.49 ?g/m3 31.23 during 2000-2016, showing annual growth rate 0.97%. still greater than 35 nearly half all cities. The presents characteristics concentrated regional convergence. positively correlated with urban farmland, negatively forest land, grassland, unused land. Furthermore, concentrations show highest values for decrease order farmland > water body grassland. impact a non-linear process, there obvious differences spillover effects different types. Thus, reasonably controlling scale optimizing development intensity, expanding grassland conducive curbing pollution. research conclusions provide theoretical basis management pollution perspective use.