PM 2.5 is one of the primary air pollutants that affect air quality and threat human health in
the port areas. To prevent and control air pollution, it is essential to understand the …

In recent years, air pollution has become a serious threat, causing adverse health effects
and millions of premature deaths in China. This study examines the spatial-temporal …

Spatially contiguous aerosol type grids were rarely available for air quality management in
the past. To bridge the gap, we developed an integrated remote sensing and big data …

In spite of a variety of PM 2.5 modeling schemes, general guidance for full-coverage PM 2.5
concentration mapping from satellite observations is still lacking. The current technical gap …

Spatiotemporal variability in the land surface energy flux is largely and comprehensively
affected by many factors, including land surface temperature (LST), land coverage, soil …

Land surface temperature (LST) has a critical impact on the energy balance of land surface
processes and ecosystem stability. Meanwhile, LST is controlled by multiple factors at the …

The spatiotemporal characteristics, relationship with meteorological factors, and source
distribution of air pollutants (January 2017–December 2021) were analyzed to better …

High-intensity human socioeconomic activities in Xi'an have caused fine particulate matter
(PM 2.5) pollution. Understanding the spatial and temporal patterns and key factors …

Urban landscape forms can be effective in reducing increasing PM2. 5 concentrations due to
urbanization in China, making it crucially important to accurately quantify the spatiotemporal …

The study analyzed the current status and changing trends of PM2. 5 pollution, and used
Kriging spatial interpolation, spatial autocorrelation analysis, and scan statistics to explore …