Environmental Engineering Reference
In-Depth Information
continued to be followed by Daysmoke. A particle-in-grid method is also being
explored for modeling the chemistry of currently nonreactive Daysmoke particles
prior to mixing with the contents of CMAQ grid cells. This is expected to enable
accurate representation of plume dynamics and chemistry at local scales as well as
accurate prediction of impacts over regional scales.
Fig. 2.
Daysmoke predictions of ground-level PM
2.5
concentrations at Fort Benning, GA during a
prescribed burn on April 9, 2008. The predictions were confirmed with measurements at
locations marked by cross hatches
4. Future Directions
The next step will be to have MM5 and CMAQ operate on the same adaptive grid.
This can be achieved immediately in 2-D by using an adaptive weight function of
smoke concentrations and dynamic variables such as vorticity, so that both the
wind field and the PB plumes are resolved. The models will be time stepped
parallel to each other so that there is no need for interpolating the variables from
one model to another. This will be followed by the development of the 3-D
adaptation capability in CMAQ. The ultimate goal is a fully merged interactive
model where any feedbacks of PB plumes on dynamics and vice versa are fully
resolved.
Acknowledgments
This work is supported by the Strategic Environmental Research Program
with substantial cost sharing from the US Forest Service.
References
Xiao, X., D. S. McRae, and H. A. Hassan:
A new dynamically adaptive mesoscale atmospheric
model, Proceedings, AMS 11th Conference on Mesoscale Processes, Albuquerque, NM,
October 2005
