Environmental Engineering Reference
In-Depth Information
Odman, M. T., M. N. Khan, R. K. Srivastava, and D. S. McRae, 2002:
Initial application of the
adaptive grid air pollution model
.
Air Pollution Modeling and its Application XV
(C. Borrego
and Guy Schayes, Eds., Kluwer Academic/Plenum publishers, New York), 319-328.
Achtemeier, G.L., 1998:
Predicting dispersion and deposition of ash from burning cane.
Sugar
Cane
,
1,
17-22.
5. Questions and Answers
S.T. Rao:
How do you ensure that the adaptive grid structures of MM5 with that
of CMAQ where different dynamical forcings dictate the adaptive grid req-
uirements in met and AQ models?
Answer:
The grid adaptation is performed by means of a weight function. This
weight function can be a linear combination of functions of different variables.
The determination of the most relevant meteorology and air quality variables,
and their weights in the combination, is part of our research. For optimum
resolution of the feedbacks between the dynamics and the plume, we propose
the combination of smoke concentration, as the major air quality variable in a
prescribed burn, with vorticity, as an important dynamic variable.
