This study develops an augmented geographically weighted regression (GWR) model to
analyze the spatial distribution of PM 2.5 concentrations through the incorporation of …

The hourly ozone (O 3) data from 332 background monitoring stations, spread in France,
were analyzed over the period 1999–2012 and short-term trends were calculated. In the …

Accelerated urbanization and industrialization have led to poor air quality, which threatens
human health with various lung ailments. Monitoring, modeling, and forecasting air quality …

Various studies are currently underway on PM (Particulate Matter) monitoring in view of the
importance of air quality in public health management. Spatial interpolation has been used …

Although intra-urban air pollution differs by season, few monitoring networks provide
adequate geographic density and year-round coverage to fully characterize seasonal …

China experiences severe particulate matter (PM) pollution problems closely linked to its
rapid economic growth. Advancing the understanding and characterization of …

Atmospheric pollution has recently drawn significant attention due to its proven adverse
effects on public health and the environment. This concern has been aggravated specifically …

Knowledge of particulate matter concentrations< 2.5 μm in diameter (PM2. 5) across the
United States is limited due to sparse monitoring across space and time. Epidemiological …