Validation and Sensitivity Study of the PMSS Modelling System for Puff Releases in the Joint Urban 2003 Field Experiment

AbstractThe Joint Urban 2003 (JU 2003) experimental campaign took place in downtown Oklahoma City, Oklahoma, USA, comprising both continuous and puff releases of sulphur hexafluoride (SF6) tracer gas. In the framework of the UDINEE project, intensive operation period 8 (IOP 8) conducted during the night is simulated using the Parallel-Micro-SWIFT-SPRAY (PMSS) three-dimensional modelling system. The PMSS modelling system is the assembly of a diagnostic or momentum flow solver (PSWIFT) and a Lagrangian particle dispersion model (PSPRAY) accounting for buildings and developed in parallel versions. A sensitivity study is performed regarding the flow modelling options, namely the meteorological data input, the characteristics of the turbulence, and the use of the diagnostic or momentum solver. Results shed light onto issues related to modelling puff releases in a built-up environment. Flow and concentration results are compared to measurements at the sample locations in IOP 8 and statistical metrics computed for all puffs released during IOP 8. These indicators illustrate satisfactory performance and robustness of the PMSS system with reference to the modelling options. Moreover, with moderate computational times and reliable predictions, the PMSS modelling system proves to be relevant for emergency response in cases of atmospheric release of hazardous materials.

[1]  Steven R. Hanna,et al.  Observed winds, turbulence, and dispersion in built-up downtown areas of Oklahoma City and Manhattan , 2007 .

[2]  N. Dinar,et al.  A lagrangian dispersion model for calculating concentration distribution within a built-up domain , 1996 .

[3]  Pietro Salizzoni,et al.  SIRANERISK: Modelling dispersion of steady and unsteady pollutant releases in the urban canopy , 2016 .

[4]  S. Hanna,et al.  Air quality model performance evaluation , 2004 .

[5]  Fernando Camelli,et al.  Simulation of the MUST field experiment using the FEFLO-URBAN CFD model , 2004 .

[6]  Jeffrey B. Basara,et al.  Verification of a Mesoscale Data-Assimilation and Forecasting System for the Oklahoma City Area during the Joint Urban 2003 Field Project , 2006 .

[7]  A simple urban dispersion model tested with tracer data from Oklahoma City and Manhattan , 2009 .

[8]  R. M. Reynolds,et al.  Detailed Simulations of Atmospheric Flow and Dispersion in Downtown Manhattan: An Application of Five Computational Fluid Dynamics Models , 2006 .

[9]  H. C. Rodean Stochastic Lagrangian Models of Turbulent Diffusion , 1996 .

[10]  L L Schulman,et al.  Development and Evaluation of the PRIME Plume Rise and Building Downwash Model , 2000, Journal of the Air & Waste Management Association.

[11]  Inanc Senocak,et al.  A CFD-based wind solver for an urban fast response transport and dispersion model , 2011 .

[12]  D. Anfossi,et al.  TRANSALP 1989 experimental campaign—II. Simulation of a tracer experiment with Lagrangian particle models , 1998 .

[13]  D. Thomson Criteria for the selection of stochastic models of particle trajectories in turbulent flows , 1987, Journal of Fluid Mechanics.

[14]  Patrick Armand,et al.  Description and preliminary validation of the PMSS fast response parallel atmospheric flow and dispersion solver in complex built-up areas , 2017, Environmental Fluid Mechanics.

[15]  Steven R. Hanna,et al.  Along-wind dispersion of puffs released in a built-up urban area , 2007 .

[16]  Silvia Trini Castelli,et al.  Micro-Swift-Spray (MSS): A New Modelling System for the Simulation of Dispersion at Microscale. General Description and Validation , 2007 .

[17]  Rebecca Vernot,et al.  Comparisons of JU2003 observations with four diagnostic urban wind flow and Lagrangian particle dispersion models , 2011 .

[18]  C. A. McHugh,et al.  ADMS-Urban: an air quality management system for traffic, domestic and industrial pollution , 2014 .

[19]  Gianni Tinarelli,et al.  Lagrangian particle simulation of tracer dispersion in the lee of a schematic two-dimensional hill , 1994 .

[20]  Gianni Tinarelli,et al.  A new Lagrangian particle model for the simulation of dense gas dispersion , 2010 .

[21]  K. Clawson,et al.  Joint urban 2003 (JU03) SF₆ atmospheric tracer field tests , 2005 .

[22]  Pietro Salizzoni,et al.  The model SIRANE for atmospheric urban pollutant dispersion; part I, presentation of the model , 2011 .

[23]  Steven R. Hanna,et al.  Handbook on atmospheric diffusion , 1982 .

[24]  Steven R. Hanna,et al.  Acceptance criteria for urban dispersion model evaluation , 2012, Meteorology and Atmospheric Physics.

[25]  G. Grell,et al.  A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5) , 1994 .

[26]  K. Allwine,et al.  Joint Urban 2003: Study Overview And Instrument Locations , 2006 .

[27]  Olav R. Hansen,et al.  Detailed Simulations of Atmospheric Flow and Dispersion in Urban Downtown Areas by Computational Fluid Dynamics (CFD) Models - An Application of Five CFD Models to Manhattan , 2006 .

[28]  Michael Schatzmann,et al.  Issues with validation of urban flow and dispersion CFD models , 2011 .