[Spatial-temporal Relationships Between Urbanization Levels and Air Pollution Across Various Stages of Urbanization Nationwide].

This research investigates the spatial and temporal relationship between urbanization levels and air pollution in cities at different stages of urbanization in China, highlighting its significance for guiding cities towards green development with reduced pollution and carbon emissions. The study uses a range of datasets from 2005 to 2020, including per capita GDP raster data, land use type data, remotely sensed PM and O concentration data, and meteorological raster data. The urbanization stages for the years 2005, 2010, 2015, and 2020 were classified using the Chenery standard, facilitating a nuanced analysis of urban growth patterns.

[Regionalization and Analysis of PM and O Synergetic Prevention and Control Areas Based on Remote Sensing Data].

Site-based air pollution monitoring data cannot support the regionalization of air pollution prevention and control areas. Faced with this problem, this study proposed a method of regionalizing synergetic prevention and control areas based on multi-source remote sensing data and GIS spatial statistical analysis methods and carried out quantitative analyses of PM and O air pollution in China from 2015 to 2020. The results showed that there was an obvious decrease in PM concentrations, and Oconcentrations remained stable; PM pollution mostly occurred in autumn and winter, and O pollution occurred in spring and summer.