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Title: Trajectory-Grid: An accurate sign-preserving advection-diffusion approach for air quality modeling

Conference ·
OSTI ID:422994
; ;  [1]
  1. Ford Motor Co., Dearborn, MI (United States). Ford Research Lab.

Air quality grid models involve solving a set of partial differential equations containing transport and chemistry. The most difficult numerical problem encountered in these models is solving the advection-dominated equation. Choosing an inaccurate advection algorithm can lead to a significantly different predicted peak ozone concentration within the model domain. New algorithms are continuously being devised and tested. They tend to be Eulerian or semi-Lagrangian. The usefulness of another alternative--the fully Lagrangian approach--has not been fully explored. This type of approach has several advantages that may be exploited for gird models; key among them are high accuracy, sign preservation and mass conservation. A fully Lagrangian approach for advection may be devised to track the trajectories of a much smaller number of concentration points or pulses within the modeling domain. This approach, coupled with a fully Eulerian scheme to describe diffusion, constitutes what the authors shall call the Trajectory-Grid (T-G) approach. In this paper, they shall explore this method in greater detail and discuss how one can implement it in an air quality grid model.

OSTI ID:
422994
Report Number(s):
CONF-960127-; TRN: IM9707%%301
Resource Relation:
Conference: 9. joint American Meteorological Society/Air and Waste Management Association conference on applications of air pollution meteorology, Atlanta, GA (United States), 28 Jan - 2 Feb 1996; Other Information: PBD: [1996]; Related Information: Is Part Of Ninth joint conference on applications of air pollution meteorology with A and WMA; PB: 672 p.
Country of Publication:
United States
Language:
English