Meteorology, human activities, and other emission sources drive diurnal cyclic patterns of air
pollution. Previous studies mainly focused on the variation of PM 2.5 concentrations during …

The prediction of PM 2.5 concentrations with high spatiotemporal resolution has been
suggested as a potential method for data collection to assess the health effects of exposure …

Proximate pollutant data can provide information for land-use predictors in LUR models,
when coupled with spatial interpolation of ambient pollutant measurements, may provide …

Using satellite observations to estimate PM 2.5 concentrations is feasible for monitoring air
pollution, which can make up for the deficiencies of sparse ground monitoring stations and …

Urban air pollution is one of the most critical issues that affect the environment, community
health, economy, and management of urban areas. From a public health perspective, PM …

The complex mixtures of local emission sources and regional transportations of air
pollutants make accurate PM2. 5 prediction a very challenging yet crucial task, especially …

Although fine particulate matter with a diameter of< 2.5 μm (PM2. 5) has a greater negative
impact on human health than particulate matter with a diameter of< 10 μm (PM10) …

An accurate estimation of population exposure to particulate matter with an aerodynamic
diameter< 2.5 μm (PM 2.5) is crucial to hazard assessment and epidemiology. This study …

Air pollution has recently become a regional problem in the North China Plain, which is
heavily populated with industrialized city clusters. The local air quality is frequently affected …

Southern Taiwan has experienced severe PM10 problems for over a decade. The present
paper describes the establishment of a simulation model for the daily average PM10 …