A field study evaluation of short-term refined Gaussian dispersion models

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A tracer study was conducted at the Duke Forest Site in Chapel Hill, North Carolina in January, 1995 to evaluate the ability of three short-term refined Gaussian dispersion models to predict the fate of volume source emissions under field study conditions. Study participants included the American Petroleum Institute (API), the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), the University of North Carolina at Chapel Hill (UNC), and private consulting firms. The models evaluated were Industrial Source Complex--Short Term versions 2 and 3 (ISC2, ISC3) and the American Meteorological Society (AMS) Environmental Protection Agency (EPA) Regulatory Model ... continued below

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67 p.

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Piper, A. December 31, 1996.

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Description

A tracer study was conducted at the Duke Forest Site in Chapel Hill, North Carolina in January, 1995 to evaluate the ability of three short-term refined Gaussian dispersion models to predict the fate of volume source emissions under field study conditions. Study participants included the American Petroleum Institute (API), the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), the University of North Carolina at Chapel Hill (UNC), and private consulting firms. The models evaluated were Industrial Source Complex--Short Term versions 2 and 3 (ISC2, ISC3) and the American Meteorological Society (AMS) Environmental Protection Agency (EPA) Regulatory Model Improvement Committee (AERMIC) model, AERMOD. All three models are based on the steady-state Gaussian plume dispersion equation, which predicts concentrations at downwind receptor locations when integrated over the distance between the source and receptor. Chemicals were released at known rates and measurements were taken at various points in the study field using Tedlar bag point sampling and open-path Fourier Transform infrared (OP-FTIR) monitoring. The study found that ISC and AERMOD underpredicted the measured concentrations for each dataset collected in the field study. ISC and AERMOD each underpredicted the OPFTIR dataset by a factor of approximately 1.6. ISC underpredicted the Tedlar{reg_sign} dataset by approximately 2.1, while AERMOD underpredicted by a factor of approximately 2.6. Regardless of source configuration or measurement technique used, under-prediction with respect to the measured concentration was consistently observed. This indicates that safety factors or other corrections may be necessary in predicting contaminant concentrations over the distances examined in this study, i.e., in the near field of less than 200 meters.

Physical Description

67 p.

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OSTI as DE97053620

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  • Other Information: TH: Thesis (M.S.)

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  • Other: DE97053620
  • Report No.: DOE/OR/00033--T743
  • Grant Number: AC05-76OR00033
  • DOI: 10.2172/671861 | External Link
  • Office of Scientific & Technical Information Report Number: 671861
  • Archival Resource Key: ark:/67531/metadc709785

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Creation Date

  • December 31, 1996

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • Dec. 7, 2015, 4:15 p.m.

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Piper, A. A field study evaluation of short-term refined Gaussian dispersion models, report, December 31, 1996; United States. (digital.library.unt.edu/ark:/67531/metadc709785/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.