QUIC Capabilities
- Radiological dispersal devices (RDD's) with buoyant rise
- Dense gas chemical agent dispersion with topographical effects and two-phase droplet thermodynamics
- Evaporating liquid pool with 2D shallow water pool spread algorithm
- Multi-particle size biological agent dispersion
- Bio slurry (evaporating droplet) dispersion
- 2-phase (droplet/vapor mixture) dispersion with secondary evaporation from surfaces
- UV decay
- Inhalation model to estimate the amount of agent deposited in various regions of the respiratory tract
- Toxic load
- Line, area, volume, and moving point sources
- Building infiltration and exfiltration
- Deposition on building surfaces
- Nested grids
- Meteorological data assimilation
- Vegetative canopies
- Pressure distribution on buildings
- 2D and 3D graphics visualization
- Affected population calculator with an included CONUS population database
QUIC-GUI
The QUIC Graphical User Interface allows one to create building geometries graphically, enter meteorological conditions, graphically define source parameters and simulation parameters, and run the Fortran executables. The QUIC-GUI includes 2D and 3D plotting capabilities, including streamlines, vectors, contours, iso-surfaces, and line plots.
Most all model-computed parameters can be plotted in 3D around the buildings, including mean wind variables, turbulence information, airborne concentrations, airborne toxic load, airborne inhaled dose, lethal concentration thresholds, probit response contours, and deposition fields.
The QUIC-GUI includes several additional tools for data analysis:
- Inhalation model to calculate the amount of agent deposited in various regions of the respiratory tract
- Population exposure calculator with included daytime and nighttime population databases
- A movie maker tool to save animations as AVI, GIF, or numbered image files
- An export tool that can output data in spreadsheet format, and shape files.
QUIC-URB
QUIC-URB is a fast running model for computing mean flow fields around buildings. It uses empirical algorithms and mass conservation to quickly compute 3D flow fields around building complexes. The underlying code is based on the work of Röckle (1990). Flow parameterizations for the downwind cavity and wake, upwind cavity, rooftop recirculation zone, the street canyon vortex, and intersections are applied to buildings based on the prevailing wind direction and their height, width, length, and spacing. Mass conservation is then imposed and a 3D wind field is produced.
Some of the original Röckle schemes have been modified to better agree with experimental data and new schemes have also been introduced (see QUIC Reports). QUIC-URB has been modified to account for dense urban areas, semi-complex building shapes, and forest-induced drag. The model can assimilate wind measurements (e.g., SODAR profiles) and has a nested grid capability so that larger problems can be run (i.e., the inner grid resolves buildings and the outer grid does not). For small problems of a few buildings, the code runs in seconds on a standard single processor laptop. For larger problems with a few million grid cells encompassing several square kilometers in a downtown built-up area, the code may take from 5 to 15 minutes to run. Numerous evaluation studies have been performed and can be found on the QUIC Reports page.
Capabilities
- Assimilates multiple meteorological data sources or mesoscale meteorological model data to initialize wind fields.
- Wind profiles can be produced from point measurements using logarithmic, power-law, or urban canopy logarithmic parameterizations.
- Vegetation Canopies
QUIC-PLUME
QUIC-PLUME is a Lagrangian random-walk dispersion model for computing concentration fields around buildings. It has been adapted to work in the inhomogeneous environment of cities. It includes more terms than the normal random-walk model in order to account for the 3D gradients in turbulent and mean flow fields. It includes reflection terms for building and street surfaces. The dispersion of aerosols and gases can be simulated, including deposition, gravitational settling and health properties. Point, moving point, line, area, and volume sources can be simulated. An explosive buoyant rise and multi-particle size capability has been added for dealing with Radiological Dispersal Devices (RDD's).
A dense gas cloud model has been incorporated in order to evaluate the effects of heavier-than-air chemical industrial gas dispersion. QUIC-PLUME also has the option of adding the effects of two-phase (vapor/droplet) thermodynamics on dense gas dispersion. There is also a model for UV agent decay which incorporates the effect of time of day, day of the year, geographic location of the release, and cloud cover. The model contains a simple outdoor-to-indoor infiltration parameterization that allows for calculation of indoor concentrations inside of single zone buildings.
QUIC-PLUME can run in tens of seconds for smaller problems, but may take up to 30 minutes for large problems where a half million or more particles are to be released. The code has been tested for both idealized and real-world cases (e.g., Gowardhan et al., 2006; Williams et al., 2004). For more information on the specifics of the code, see the QUIC-PLUME Theory Guide.
Capabilities
- Simulates chemical, biological, and radiological agents
- Several source geometries including:
- spherical shell or volume
- segmented line
- moving point
- circular or rectangular area
- cylindrical or rectangular volume
- explosive
- Dense gas (with or without two-phase thermodynamics)
- Radioactive dispersion devices (RDD) with buoyant plume rise UV agent decay Toxic load
- Surface deposition on horizontal and vertical surfaces
- Building Infiltration
- Lognormal particle size distributions
- Evaporating bio-slurry aerosol source Evaporating two-phase chem weapon aerosol source with secondary surface evaporation
- Evaporating liquid pool with 2D shallow water pool spread algorithm
QUIC-PRESSURE
Using the mean 3D velocity field produced by QUIC-URB, QUIC-PRESSURE solves for the 3D pressure fields through use of the pressure Poisson equation. Pressures can be used to help determine building leakage, as well as wind loading. More details on the pressure solver equations and evaluation studies can be found in Gowardhan et al (2006).
Capabilities
- Computes 3D pressure fields in and around buildings.
- Computes pressure on building surfaces.
