The impact of landscape structures on PM10 concentrations

Particulate matter (PM10) pollution has become a serious global issue, with South Korea experiencing levels well above the standards set by the World Health Organization (WHO). This study aimed to investigate how the landscape structure influences PM10 concentration. Using national land cover maps categorized into subgroups, we analyzed landscape indices representing landscape structure such as size, shape, and connectivity around PM10 monitoring stations in South Korea. Multiple regression analysis was employed for correlation assessment, revealing significant associations with patch density (PD), edge density (ED), and area mean patch size (AREA_MN). PD showed a positive correlation with PM10 concentration, while ED and AREA_MN exhibited negative correlations. These findings underscore the impact of landscape structure on PM10 pollution, offering insights for landscape planning and management strategies aimed at reducing PM10 levels.