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 Gaussian plume model is a standard approach for studying the transport of airborne
contaminants due to turbulent diffusion and advection by the wind. This paper reviews the …

Despite its key role in climate change, large uncertainties persist in our knowledge of the
anthropogenic emissions of carbon dioxide (CO 2) and no global observing system exists …

Efficiently modeling spatio-temporal (ST) physical processes and observations presents a
challenging problem for the deep learning community. Many recent studies have …

Zhengzhou, the provincial capital of Henan province in Central China and a major hub of the
country's transportation network, has been suffering from severe summertime ozone (O 3) …

In this paper, we address the issue of modeling and estimating changes in the state of the
spatio-temporal dynamical systems based on a sequence of observations like video frames …

This study was undertaken to assess the influence of traffic on particulate air pollution in an
urban area, and to characterise the short-range transport of the aerosols generated by traffic …

A method was developed in this paper to estimate the spatial and temporal distribution of
vehicle emissions and concentrations in Beijing based on the limited database. The vehicle …

The dispersion modelling in low wind speeds assumes importance because of the high
frequency of occurrence and episodic nature of these poor diffusion conditions. A steady …

This study quantitatively analyzed the role of vertical mixing in long-range transport (LRT) of
PM 2.5 during its high concentration episode in Northeast Asia toward the end of February …