High pollution levels have been often observed in urban street canyons due to the increased
traffic emissions and reduced natural ventilation. Microscale dispersion models with different …

Reducing exposure to atmospheric nanoparticles in urban areas is important for protecting
public health. Developing new or improving the capabilities of existing dispersion models …

With rapid development in computer hardware and numerical algorithms, computational
fluid dynamics (CFD) techniques are widely utilized to study the wind field and pollutant …

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 …

The energy consumption and emissions from vehicles adversely affect human health and
urban sustainability. Analysis of GPS big data collected from vehicles can provide useful …

The issues of global warming and climate change are a worldwide concern and the UK
government has committed itself to major reductions in CO2 emissions, the most significant …

The potential of a Large Eddy Simulation (LES) model to reliably predict near-field pollutant
dispersion is assessed. To that extent, detailed time-resolved numerical simulations of …

Environmental context Trafficked streets are air pollution hot spots where people experience
high exposure to hazardous pollutants. Although monitoring networks provide crucial …

This study adopted an integrated 'source-to-receptor'assessment paradigm in order to
determine the effects of emissions from passenger transport on urban air quality and human …

In this paper, a bottom–up vehicle emission model is proposed to estimate real-time CO_2
emissions using intelligent transportation system (ITS) technologies. In the proposed model …