(1) Development and applications of models for simulating airborne pollutant transport and dispersion in the urban environment, including but not limited to Lagrangian particle models, Gaussian plume models, large-eddy simulations, RANS (Reynolds Averaged Navier–Stokes equations) models, WRF-Chem, and other practical models.

(2) Observations and monitoring of air pollution in the urban environment, including but not limited to those based on wind tunnel or water channel experiments, scale model experiments, field campaigns, long-term observations, and remotely sensed data.

Especially, this session encourages submissions on advances in modeling and monitoring the impact of complex urban geometry/landscapes, such as urban vegetation, on pollutant transport and dispersion.

• Air Quality Forecasting in Urban Areas

This session will be partly supported by the World Meteorological Organization

1. Need, Insights, Opportunities & Barriers;
2. Big Data in Hyperlocal Assessments.

1. Advances in boundary layer and dispersion modeling for Green House Gasses;
2. The roles of plume, puff, Lagrangian particle, and other approaches;
3. Long-range transport models;
4. Use of mesoscale models for providing meteorological data driving applied dispersion models;
5. Dispersion predictions for short averaging times (sec to minutes) in hazards and other assessments.

1. Observational studies that include new field instrumentation;
2. Air pollution experimental and network design/execution;
3. Improvements in remote sensing including satellite-based observations;
4. Studies characterizing the impacts of new EPA standards;
5. Laboratory Simulations of Atmospheric Dispersion Processes;
6. Advancements in measuring/modeling air pollution sources to demonstrate regulatory compliance.