Cities foster economic growth. However, growing cities also contribute to air pollution and
climate change. The paper provides a perspective regarding the opportunity available in …

Road traffic induces air and noise pollution in urban environments having negative impacts
on human health. Thus, estimating exposure to road traffic air and noise pollution (hereafter …

Urban air quality management plan (UAQMP) is an effective and efficient tool employed in
managing acceptable urban air quality. However, the UAQM practices are specific to a …

In this study, principal components analysis (PCA) was performed to identify air pollution
sources and tree based ensemble learning models were constructed to predict the urban air …

This article provides an in-depth review of Gaussian atmospheric dispersion models, which
are mathematical tools used to predict the dispersion of pollutants in the atmosphere. Such …

In this study, linear and nonlinear modeling was performed to predict the urban air quality of
the Lucknow city (India). Partial least squares regression (PLSR), multivariate polynomial …

Abstract AirGIS, a Geographic Information Systems (GIS) based air pollution and human
exposure modelling system, is routinely used in conjunction with the Operational Street …

AERMOD was used to model the air dispersion of point and major line emissions of PM 2.5
in Halifax and Pictou, NO X in Halifax and SO 2 in Halifax, Sydney and Port Hawkesbury …

GIS for Environmental Applications provides a practical introduction to the principles,
methods, techniques and tools in GIS for spatial data management, analysis, modelling and …

Air pollution is one of the most critical concerns encountered in urban areas, especially in
develo** nations. Four out of five cities in the world with the worst air quality are located in …