Understanding atmospheric transport and dispersal events has an important role in a range
of scenarios. Of particular importance is aiding in emergency response after an intentional or …

The impact of urban air pollution on the environments and human health has drawn
increasing concerns from researchers, policymakers and citizens. To reduce the negative …

This study presents a new method for evaluating the effectiveness of roadside PM 10 and
PM 2.5 reduction scenarios using Machine Learning (ML) based models. The ML methods …

Green infrastructure (GI) in urban areas may be adopted as a passive control system to
reduce air pollutant concentrations. However, current dispersion models offer limited …

A new nonparametric Bayesian-based motion planning algorithm for autonomous plume
source term estimation (STE) and source seeking (SS) is presented in this paper. The …

Spray drifts have been studied by mathematical models and computer simulations as an
essential complement to lab and field tests, among which are fluid dynamic approaches that …

A large quantity of CH 4 is emitted to the atmosphere via ventilation shafts of underground
coal mines. According to the European Pollutant Release and Transfer Register (E-PRTR) …

Organosulfates (OSs), a key component of secondary organic aerosols (SOA), account for
up to one third of organic matter in the atmosphere. However, high molecular weight (HMW …

Investigations on the variations in ozone concentration, aerosol properties, and ozone-
aerosol interactions can help to better understand the atmospheric radiation budget and …

This paper examines the application of artificial neural network (ANN) and boosted
regression tree (BRT) methods in air quality modelling. The methods were applied to …