Improvements to the EPA Industrial Source Complex Dispersion Model

Dennis G. Atkinson Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, Research Triangle Park, North Carolina

Search for other papers by Dennis G. Atkinson in
Current site
Google Scholar
PubMed
Close
,
Desmond T. Bailey Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, Research Triangle Park, North Carolina

Search for other papers by Desmond T. Bailey in
Current site
Google Scholar
PubMed
Close
,
John S. Irwin Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, Research Triangle Park, North Carolina

Search for other papers by John S. Irwin in
Current site
Google Scholar
PubMed
Close
, and
Jawad S. Touma Atmospheric Sciences Modeling Division, Air Resources Laboratory, National Oceanic and Atmospheric Administration, Research Triangle Park, North Carolina

Search for other papers by Jawad S. Touma in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Air quality models are a key component in determining air pollution control requirements. The Industrial Source Complex (ISC2) model is a steady-state Gaussian plume model that is used for modeling point, area, volume, and line sources. Since its development in the 1970s by the U.S. Environmental Protection Agency, this widely used model has undergone several updates as state-of-the-science techniques have become available. Some of the recent modifications to the ISC2 model include a numerically efficient area-source algorithm tested in wind tunnel experiments, a dry-deposition algorithm that can account for a full range of particle size distributions, an algorithm for calculating wet-deposition flux using the scavenging coefficient approach, and an algorithm for modeling open-pit sources. These modifications, which are part of the current ISCST3 model, are described in detail within this paper. In addition, a plume depletion model demonstration was performed to compare observed and estimated crosswind integrated concentrations of a depositing tracer as functions of travel time and stability.

* Current affiliation: Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency Research Triangle Park, North Carolina.

Corresponding author address: Dennis G. Atkinson, Atmospheric Sciences Modeling Division, ARL, NOAA (EPA, MD-14), Research Triangle Park, NC 27711.

Abstract

Air quality models are a key component in determining air pollution control requirements. The Industrial Source Complex (ISC2) model is a steady-state Gaussian plume model that is used for modeling point, area, volume, and line sources. Since its development in the 1970s by the U.S. Environmental Protection Agency, this widely used model has undergone several updates as state-of-the-science techniques have become available. Some of the recent modifications to the ISC2 model include a numerically efficient area-source algorithm tested in wind tunnel experiments, a dry-deposition algorithm that can account for a full range of particle size distributions, an algorithm for calculating wet-deposition flux using the scavenging coefficient approach, and an algorithm for modeling open-pit sources. These modifications, which are part of the current ISCST3 model, are described in detail within this paper. In addition, a plume depletion model demonstration was performed to compare observed and estimated crosswind integrated concentrations of a depositing tracer as functions of travel time and stability.

* Current affiliation: Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency Research Triangle Park, North Carolina.

Corresponding author address: Dennis G. Atkinson, Atmospheric Sciences Modeling Division, ARL, NOAA (EPA, MD-14), Research Triangle Park, NC 27711.

Save
  • Doran, J. C., and T. W. Horst, 1985: An evaluation of Gaussian plume-depletion models with dual-tracer field measurements. Atmos. Environ.,19, 939–951.

  • ——, O. B. Abbey, J. W. Buck, D. W. Glover, T. W. Horst, R. N. Lee, and F. D. Lloyd, 1984: Field validation of exposure assessment models. Vol. 1, Data. EPA-600/3-84-0924, U.S. Environmental Protection Agency, 177 pp.[NTIS PB85-107209.].

  • Gray, H. A., and Coauthors, 1991: Appendix E (description of deposition algorithms). Deterministic Modeling in the Navajo Generating Station Visibility Study, Vol. II, Systems Applications International, E1–E59.

  • Horst, T. W., 1983: A correction to the Gaussian source-depletion model. Precipitation Scavenging, Dry Deposition and Resuspension, H. R. Pruppacher, R. G. Semonin, and W. G. N. Slinn, Eds., Elsevier, 1205–1218.

  • Nikola, P. W., 1977: The Hanford 67-series: A volume of atmospheric diffusion measurement. PNL-2433, 454 pp. [NTIS PNL-2433.].

  • Perry, S. G., R. S. Thompson, and W. B. Petersen, 1994: Considerations for modeling small-particulate impacts from surface coal mining operations based on wind-tunnel simulations. Preprints, Eighth Joint Conf. on Applications of Air Pollution Meteorology with A&WMA, Nashville, TN, Amer. Meteor. Soc., 76–83.

  • Petersen, W. B., and S. G. Perry, 1995: Improved algorithms for estimating the effects of pollution impacts from area and open pit sources. Air Pollution Modeling and Its Application XI, S.-E. Gryning and F. Schiermeier, Eds., NATO Challenges of Modern Society, Vol. 21, Plenum Press, 379–386.

  • Pleim, J., A. Venkatram, and R. Yamartino, 1984: ADOM/TADAP model development program, the dry deposition module, 4, ERT document P-B980-520, 110 pp. [Available from Environmental Research and Technology, Inc., 696 Virginia Road, Concord, MA 01742.].

  • Sehmel, G. A., 1980: Particle and gas dry deposition: A review. Atmos. Environ.,14, 983–1011.

  • Slinn, S. A., and W. G. N. Slinn, 1980: Predictions for particle deposition and natural waters. Atmos. Environ.,14, 1013–1016.

  • Thompson, R. S., 1994: Residence time of contaminants released in surface coal mines—A wind-tunnel study. Preprints, Eighth Joint Conf. on Applications of Air Pollution Meteorology with A & WMA, Nashville, TN, Amer. Meteor. Soc., 68–75.

  • U.S. EPA, 1992: Comparison of a revised area source algorithm of the Industrial Source Complex short term model and wind tunnel data. EPA-454/R-92-014, U.S. Environmental Protection Agency, 180 pp. [NTIS PB93-226751.].

  • ——, 1994a: Office of Air Quality Planning and Standards (OAQPS) Technology Transfer Network (TTN). [Available on-line from U.S. Environmental Protection Agency Technology Transfer Network at ttnwww.rtpnc.epa.gov].

  • ——, 1994b: Development and testing of dry deposition algorithms, revised. EPA-454/R-94-015, U.S. Environmental Protection Agency, 128 pp. [NTIS PB94-183100.].

  • ——, 1995a: User’s guide for the Industrial Source (ISC3) Dispersion Model. Vol. I, User instructions. EPA-454/B-95-003a, U.S. Environmental Protection Agency, 320 pp. [NTIS PB95-222741.].

  • ——, 1995b: User’s guide for the Industrial Source (ISC3) Dispersion Model. Vol. II, Description of model algorithms. EPA-454/B-95-003b, U.S. Environmental Protection Agency, 120 pp. [NTIS PB95-222758.].

  • ——, 1995c: PCRAMMET user’s guide. EPA-454/B-96-001, U.S. Environmental Protection Agency, 98 pp. [NTIS PB97-147912.].

  • ——, 1995d: Meteorological Processor for Regulatory Models (MPRM) user’s guide. EPA-454/B-96-002, U.S. Environmental Protection Agency, 200 pp. [NTIS PB96-180518.].

  • Wesely, M. L., and B. B. Hicks, 1977:Some factors that affect the deposition rates of sulfur dioxide and similar gases on vegetation. J. Air Pollut. Control Assoc.,27, 1110–1116.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 466 100 12
PDF Downloads 293 92 8