Evaluation of Atmospheric Transport and Dispersion Models in Highly Complex Terrain Using Perfluorocarbon Tracer Data

  • Mark C. Green
Part of the NATO • Challenges of Modern Society book series (NATS, volume 22)

Abstract

Project MOHAVE is a large monitoring, modeling, and data analysis study whose main goal is to assess the effects of the Mohave power plant (MPP), a large coal-fired facility in southern Nevada, upon visibility in the southwestern United States, in particular at Grand Canyon National Park (Pitchford and Green, 1997). Additional goals of Project MOHAVE include estimating the effects of other sources upon visibility in the southwestern United States, and evaluating atmospheric transport and dispersion models, and receptors models. One of the key design features of Project MOHAVE was the release of perfluorocarbon tracers (PFTs) at the Mohave power plant and other locations during a 30 day winter intensive study and a 50 day summer intensive study. Tracer and aerosol measurements were made at over 30 locations (mostly 24-hour average concentrations); upper air measurements were made with radar wind profilers, sodars, and rawinsondes; optical monitoring included transmissometers, nephelometers, and time-lapse photography.

Keywords

Dispersion Model Tracer Concentration Tracer Data Meteorological Model Meteorological Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Dietz, R.N., 1987, Perfluorocarbon tracer technology. In Regional and Long-range Transport of Air Pollution, Lectures of a course held at the Joint Research Center, Ispra, Italy, 15–19 September 1996, Elsevier Science Publishers B.V. Amsterdam, 215–247.Google Scholar
  2. Enger, L., 1994, Simulation of dispersion in moderately complex terrain-Part C: A dispersion model for operational use. Atmos. Environ., 24:2457.Google Scholar
  3. Enger, L., Koracin, D., and Yang, X., 1993, A numerical study of the boundary layer dynamics in a mountain valley. Part 1: Model validation and sensitivity experiments, Bound. Layer Meteor., 66:357.CrossRefGoogle Scholar
  4. Enger, L., Koracin, D., 1994, A numerical study of the boundary layer dynamics in a mountain valley. Part 2: Observed and simulated Characteristics of the atmospheric stability and local flows, Bound. Layer Meteor., 69:249.CrossRefGoogle Scholar
  5. GCVTC, 1995, Evaluation of wind fields used in the Grand Canyon Visibility Transport Commission analysis. Available from the Western Governors Association, Denver, CO.Google Scholar
  6. Pitchford, M., and Green, M., 1997, Analyses of sulfur aerosol size distributions for a forty-day period in summer 1992 at Meadview, Arizona, J. Air & Waste Manage. Assoc., 47:136.CrossRefGoogle Scholar
  7. Uliasz, M., and Pielke, R.A., 1993, Implementation of a Lagrangian particle dispersion model for mesoscale and regional air quality studies, In Air Pollution, P. Zenetti, Editor, Computational Mechanics Publications, Southhampton, 157–164.Google Scholar
  8. Venkatram, A., Karamchandani, P., Pai, P., and Goldstein, R., 1992, The development of the Acid Deposition and Oxidant Model (ADOM). Environ. Pollut., 75:189.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Mark C. Green
    • 1
  1. 1.Desert Research InstituteLas VegasUSA

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