Epidemiological studies typically utilise one or few central monitoring stations as a proxy for
personal exposure to particulate matter air pollution. However, recent research indicates that …

Air pollution problems have a severe effect on the natural environment and public health.
The application of machine learning to air pollutant data can result in a better understanding …

Nowadays, PM2. 5 concentrations greatly influence indoor air quality in subways and
threaten passenger and staff health because PM2. 5 not only contains heavy metal …

In this paper, we tackle air quality forecasting by using machine learning approaches to
predict the hourly concentration of air pollutants (eg, ozone, particle matter (PM 2.5) and …

Analyzing the distribution of air pollution and its influencing factors is critical for regional air
pollution prevention and control. This study takes the Pearl River Delta (PRD) as a study …

Three years of measurement of PM2. 5 with 5-min time resolution was conducted from 2005
to 2007 in urban and rural environments in Beijing to study the seasonal and diurnal …

Air pollution has become a top environmental concern in China. In the present study, 9 years
of PM 10 and PM 2.5 data from an urban monitoring station in Beijing was analyzed relative …

Air pollution events occur frequently in northwest China, which results in serious detrimental
effects on human health. Therefore, it is essential to understand the air pollution …

Air pollution is prevalent in cities and urban centers in developing countries including sub-
Saharan Africa, but ground monitoring data on local pollution remain inadequate, hindering …

Simultaneous and continuous measurements of PM 2.5 and PM 10 along with other co-
existent pollutants viz., black carbon (BC), CO, NO and NOx were carried out over Delhi with …