Interventions used to improve air quality are often difficult to detect in air quality time series
due to the complex nature of the atmosphere. Meteorological normalisation is a technique …

openair is an R package primarily developed for the analysis of air pollution measurement
data but which is also of more general use in the atmospheric sciences. The package …

As a result of rapid urbanization in numerous cities around the world, the demand for
transportation has increased rapidly, resulting in emission of high levels of exhaust …

Air Quality assessment and forecasting are the essentials today and they attracted many
researchers. Environmental organizations regularly monitor and predict the air contaminants …

The linkage between agricultural activities, particularly livestock farming, and atmospheric
pollution is broadly acknowledged, and its magnitude is widely analyzed. Lombardy, one of …

Air pollution exhibits hyper-local variation, especially near emissions sources. In addition to
people's time-activity patterns, this variation is the most critical element determining …

This paper outlines the development of enhanced bivariate polar plots that allow the
concentrations of two pollutants to be compared using pair-wise statistics for exploring the …

The ability to accurately model and predict the ambient concentration of Particulate Matter
(PM) is essential for effective air quality management and policies development. Various …

Recent developments in sensory and communication technologies have made the
development of portable air-quality (AQ) micro-sensing units (MSUs) feasible. These MSUs …

Vertical wind shear (VWS) is one of the key meteorological factors in modulating ground-
level particulate matter with an aerodynamic diameter of 2.5 µm or less (PM2. 5). Due to the …