Effects of land-use and landscape pattern on PM_2.5 in Yangtze River Delta in China

Land cover-landscape pattern affects the atmospheric environment directly or indirectly, and the understanding of the atmospheric environment response to land cover - landscape pattern is of great significance to the maintenance and improvement of ecological environment. In this paper, such 9 landscape metrics as PLAND, PD, LPI, ED, MPS, AWMSI, CONTAG, SHDI and SHEI were selected by remote sensing inversion of PM_2.5 data and land use data in long time series. The correlation analysis and multiple stepwise regression analysis were also used to analyze the effect of land use and landscape pattern on PM_2.5 in Yangtze River Delta. The results showed that: (1) PM_2.5 concentration was increasing in Yangtze River Delta from 1998 to 2015; (2) PM_2.5 concentration was negatively correlated with the forest land and grassland, while positively correlated with the urban construction land; (3) At the level of landscape type, the urban construction land, water body and farm land PLAND, LPI, ED, MPS, AWMSI were positively correlated, the urban construction land and water body PD were positively correlated with PM_2.5, the farm land PD was negatively correlated with PM_2.5, and the forest land and grassland PLAND, PD, LPI, ED, MPS and AWMSI were negatively correlated with PM_2.5. (4) In the integral landscape of land use, AWMSI was negatively correlated with PM_2.5 concentration. It is of great significance to control PM_2.5 pollution from the perspective of land use planning and contributed to an estimation methods of PM_2.5 concentrations using land use type and land use landscape metrics in the absence of missing PM_2.5 monitoring data.