Comparisons of Transport and Dispersion Model Predictions of the Mock Urban Setting Test Field Experiment

Steve Warner Institute for Defense Analyses, Alexandria, Virginia

Search for other papers by Steve Warner in
Current site
Google Scholar
PubMed
Close
,
Nathan Platt Institute for Defense Analyses, Alexandria, Virginia

Search for other papers by Nathan Platt in
Current site
Google Scholar
PubMed
Close
,
James F. Heagy Institute for Defense Analyses, Alexandria, Virginia

Search for other papers by James F. Heagy in
Current site
Google Scholar
PubMed
Close
,
Jason E. Jordan Northrop Grumman Corporation, Alexandria, Virginia

Search for other papers by Jason E. Jordan in
Current site
Google Scholar
PubMed
Close
, and
George Bieberbach National Center for Atmospheric Research,* Boulder, Colorado

Search for other papers by George Bieberbach in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The potential effects of a terrorist attack involving the atmospheric release of chemical, biological, radiological, nuclear, or other hazardous materials continue to be of concern to the United States. The Defense Threat Reduction Agency has developed a Hazard Prediction Assessment Capability (HPAC) that includes initial features to address hazardous releases within an urban environment. Improved characterization and understanding of urban transport and dispersion are required to allow for more robust modeling. In 2001, a scaled urban setting was created in the desert of Utah using shipping containers, and tracer gases were released. This atmospheric tracer and meteorological study is known as the Mock Urban Setting Test (MUST). This paper describes the creation of sets of HPAC predictions and comparisons with the MUST field experiment. Strong consistency between the conclusions of this study and a previously reported HPAC evaluation that relied on urban tracer observations within the downtown area of Salt Lake City was found. For example, in both cases, improved predictions were associated with the inclusion of a simple empirically based urban dispersion model within HPAC, whereas improvements associated with the inclusion of a more computationally intensive wind field module were not found. The use of meteorological observations closest to the array and well above the obstacle array—the sonic anemometer measurements 16 m above ground level—resulted in predictions with the best fit to the observed tracer concentrations. The authors speculate that including meteorological observations or vertical wind profiles above or upwind of an urban region might be a sufficient input to create reasonable HPAC hazard-area predictions.

* The National Center for Atmospheric Research is sponsored by the National Science Foundation

Corresponding author address: Dr. Steve Warner, Institute for Defense Analyses, 4850 Mark Center Dr., Alexandria, VA 22311-1882. Email: swarner@ida.org

Abstract

The potential effects of a terrorist attack involving the atmospheric release of chemical, biological, radiological, nuclear, or other hazardous materials continue to be of concern to the United States. The Defense Threat Reduction Agency has developed a Hazard Prediction Assessment Capability (HPAC) that includes initial features to address hazardous releases within an urban environment. Improved characterization and understanding of urban transport and dispersion are required to allow for more robust modeling. In 2001, a scaled urban setting was created in the desert of Utah using shipping containers, and tracer gases were released. This atmospheric tracer and meteorological study is known as the Mock Urban Setting Test (MUST). This paper describes the creation of sets of HPAC predictions and comparisons with the MUST field experiment. Strong consistency between the conclusions of this study and a previously reported HPAC evaluation that relied on urban tracer observations within the downtown area of Salt Lake City was found. For example, in both cases, improved predictions were associated with the inclusion of a simple empirically based urban dispersion model within HPAC, whereas improvements associated with the inclusion of a more computationally intensive wind field module were not found. The use of meteorological observations closest to the array and well above the obstacle array—the sonic anemometer measurements 16 m above ground level—resulted in predictions with the best fit to the observed tracer concentrations. The authors speculate that including meteorological observations or vertical wind profiles above or upwind of an urban region might be a sufficient input to create reasonable HPAC hazard-area predictions.

* The National Center for Atmospheric Research is sponsored by the National Science Foundation

Corresponding author address: Dr. Steve Warner, Institute for Defense Analyses, 4850 Mark Center Dr., Alexandria, VA 22311-1882. Email: swarner@ida.org

Save
  • Allwine, K. J., J. H. Shinn, G. E. Streit, K. L. Clawson, and M. Brown, 2002: Overview of URBAN 2000—A multiscale field study of dispersion through an urban environment. Bull. Amer. Meteor. Soc., 83 , 521536.

    • Search Google Scholar
    • Export Citation
  • Allwine, K. J., M. J. Leach, L. W. Stockham, J. S. Shinn, R. P. Hosker, J. F. Bowers, and J. C. Pace, 2004: Overview of joint Urban 2003—An atmospheric dispersion study in Oklahoma City. Preprints, Symp. on Planning, Nowcasting and Forecasting in the Urban Zone, Seattle, WA, Amer. Meteor. Soc., CD-ROM, J7.1.

  • Biltoft, C. A., 2002: Customer report for Mock Urban Setting Test. Meteorology and Obscurants Division, West Desert Test Center, U.S. Army Dugway Proving Ground, DPG Document WDTC_FR-01-121, 58 pp.

  • Britter, R. E., and S. R. Hanna, 2003: Flow and dispersion in urban areas. Annu. Rev. Fluid Mech., 35 , 469496.

  • Burrows, D. A., R. Keith, S. Diehl, and E. Hendricks, 2004: A fast running urban air flow model. Preprints, 13th Conf. on the Applications of Air Pollution Meteorology with the Air and Waste Management Association/Fifth Conf. on the Urban Environment, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, 6.1.

  • Chang, J. C., S. R. Hanna, Z. Boybeyi, and P. Franzese, 2005: Use of Salt Lake City URBAN 2000 field data to evaluate the Urban Hazard Prediction Assessment Capability (HPAC) dispersion model. J. Appl. Meteor., 44 , 485501.

    • Search Google Scholar
    • Export Citation
  • Cionco, R. M., 1972: A wind-profile index for canopy flow. Bound.-Layer Meteor., 3 , 255263.

  • Diehl, S. R., D. T. Smith, and M. Sydor, 1982: Random-walk simulation of gradient-transfer processes applied to dispersion of stack emission from coal-fired power plants. J. Appl. Meteor., 21 , 6983.

    • Search Google Scholar
    • Export Citation
  • DTRA, 2001: The Hazard Prediction and Assessment Capability (HPAC) user’s guide, version 4.0.3. Prepared for the Defense Threat Reduction Agency by Science Applications International Corporation, Rep. HPAC-UGUIDE-02-U-RAC0, 602 pp.

  • Hall, D. J., A. M. Spanton, I. H. Griffiths, M. Hargrave, and S. Walker, 2002: The Urban Dispersion Model (UDM): Version 2.2. Defence Science and Technology Laboratory Tech. Doc. DSTL/TR04774, 106 pp.

  • Hendricks, E., D. A. Burrows, S. Diehl, and R. Keith, 2004: Dispersion in the downtown Oklahoma City domain: Comparisons between the Joint Urban 2003 data and the RUSTIC/MESO models. Preprints, 13th Conf. on the Applications of Air Pollution Meteorology with the Air and Waste Management Association/Fifth Conf. on the Urban Environment, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, J2.3.

  • Leone Jr, J. M., G. Sugiyama, and B. Bowen, 2001: Simulating urban effects within a diagnostic wind field model. DOE Lawrence Livermore National Laboratory Rep. UCRL-JC-142621, 9 pp.

  • Lim, D., D. S. Henn, and R. I. Sykes, 2003: UWM version 0.1. Prepared for the Defense Threat Reduction Agency by Titan Research and Technology Division, Titan Corporation, Tech. Doc., 42 pp.

  • Nelson, M., M. Brown, E. Pardyjak, and J. Klewicki, 2004: Area averaged profiles over the Mock Urban Setting Test. Preprints, 13th Conf. on the Applications of Air Pollution Meteorology with the Air and Waste Management Association/Fifth Conf. on the Urban Environment, Vancouver, BC, Canada, Amer. Meteor. Soc., CD-ROM, P1.3.

  • Sykes, R. I., S. F. Parker, and R. S. Gabruk, 1996: SCIPUFF—A generalized hazard prediction model. Preprints, Ninth Joint Conf. on the Applications of Air Pollution Meteorology, Atlanta, GA, Amer. Meteor. Soc., 184–188.

  • Warner, S., N. Platt, and J. F. Heagy, 2004a: Comparisons of transport and dispersion model predictions of the URBAN 2000 field experiment. J. Appl. Meteor., 43 , 829846.

    • Search Google Scholar
    • Export Citation
  • Warner, S., N. Platt, and J. F. Heagy, 2004b: User-oriented two-dimensional measure of effectiveness for the evaluation of transport and dispersion models. J. Appl. Meteor., 43 , 5873.

    • Search Google Scholar
    • Export Citation
  • Warner, S., N. Platt, J. F. Heagy, J. E. Jordan, and G. Bieberbach, 2005: Comparisons of transport and dispersion model predictions of the Mock Urban Setting Test (MUST) field experiment. Institute for Defense Analyses Paper P-4030, 184 pp.

  • Yee, E., and C. A. Biltoft, 2004: Concentration fluctuation measurements in a plume dispersing through a regular array of obstacles. Bound.-Layer Meteor., 111 , 363415.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 641 419 54
PDF Downloads 247 62 6