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Alan H Huber

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Karl Kuehlert, Brian Bell, Walter Schwarz: EPA Cooperative Research and ... Department of Homeland Security: New York City Urban Dispersion Program ... – PowerPoint PPT presentation

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Title: Alan H Huber


1
A FRAMEWORK FOR FINE-SCALE COMPUTATIONAL FLUID
DYNAMICSAIR QUALITY MODELING AND ANALYSIS
  • Alan H Huber
  • Physical Scientist PhD, QEP
  • NOAA, ASMD, in partnership with the US EPA,
  • National Exposure Research Laboratory, RTP, NC,
    USA
  • THE 5TH ANNUAL CMAS CONFERENCE, Chapel Hill, NC
  • October 18, 2006

2
What is Computational Fluid Dynamics (CFD)?
  • Computational (having to do with mathematics
    computation)
  • Fluid Dynamics (the dynamics of things that
    flow)
  • CFD is built upon fundamental physics equations
    equations of motion and conservation. CFD
    applications range from numerical weather
    prediction to vehicular aerodynamics design.
  • CFD applications are linked with advances in
    computing software and hardware. CFD software is
    characterized by the physical models in the
    software.
  • Fine-scale CFD applications closely match the
    true geometry of the physical objects and
    processes being modeled.

3
Brief Background before electronic computers
  • Philosophical Interests in Fluid Flow
  • Newtons Physical Equations (1686)
  • Navier-Stokes Equations (1823)
  • V. Bjerknes Notions of Numerical Weather
    Prediction (1904)
  • L.F. Richardson First Numerical Weather
    Prediction (1922)

4
Brief Background with electronic computers
Progression to Air Quality Modeling
  • First Electronic Computers (1940s)
  • J. Charney First Computer Numerical Weather
    Prediction (April 1950)
  • Numerical Modeling of Air Quality Promoted by US
    EPA in 1970s and 1980s
  • CMAQ Evolves in the 1990s to Present
  • CMAQ Continues to Evolve with Advancing
    Computation Hardware and Software

5
Challenge to Relate to Human Exposure
Assessment Four Questions Modeling Should Help
Answer
  • How many people are exposed ?
  • What is the level of each persons exposure?
  • What are the causes of exposure?
  • How can exposures be altered efficiently?

6
Total Exposure Concentrations Local Sources
Regional Background
7
Urban Exposures Beyond the Lamp Post
8
Roadway Exposures Within the Roadway or
Neighborhood Microenvironments
9
Human Exposure
  • A human is only exposed to what can possibly
    contact his body.
  • Air quality concentrations need to be linked to
    temporal and spatial scales associated with
    profiles of human exposure relevant to supporting
    health risk assessments

10
Making Fine-Scale CFD Application Routine
  • Computational resources. Today, industrial
    complexes can be practically modeled by most
    workstations, while complex urban areas can only
    be modeled by the cluster systems.
  • Develop best-practice methods.
  • CFD codes have many options.
  • Develop user-friendly interfaces for general
    application. Air quality modelers should be able
    to run routine applications.
  • Interface CFD software with other models.

11
Support/Collaborators
  • Wei Tang National Research Council Post Doc
    with EPA, 2003-2005 (2.5 years)
  • Matt Freeman, Richard Spencer EPA Scientific
    Visualization Center under EPA contract with
    Lockheed-Martin
  • Karl Kuehlert, Brian Bell, Walter Schwarz EPA
    Cooperative Research and Development Agreement
    with Fluent, Inc
  • Michael Lazaro EPA Memorandum of Cooperation
    withArgonne National Laboratory
  • Department of Homeland Security New York City
    Urban Dispersion Program
  • Army Research Laboratory MSRC Visualization
  • and Supercomputing Facility

12
Application of Fine-scale CFD Models
  • Develop databases to complement the dearth of
    exposure measurements.
  • Support the development of Human Exposure
    Factors.
  • Support the development of subgrid
    parameterization for CMAQ.
  • Interface with CMAQ

13
Present CMAQ
  • Multi-scale Multi-pollutant
  • Various Chemical and Physical Processes
  • Common Linkage of Meteorology, Emissions, and Air
    Quality
  • Regional Applications gt 10 km grid
  • Urban Applications gt 1 km grid

14
Potential for Interfacing CMAQ CFD with
Fine-scale CFD Models
  • Increasing computational capacities make it
    possible to extend CMAQ to spatially fine-scales.
    Finer temporal scale may be more difficult.
  • Interface CMAQ when needed with a separate
    fine-scale (subgrid) model.
  • Pass information between separate CMAQ and
  • fine-scale model.

15
Example Fine-scale CFDThink Inside the Box
  • A few example solutions follow
  • While the example cases do not involve thermal
    heating, methods have been developed for adding
    heat fluxes to any grid face or volume.
  • Motion of objects can be added.
  • Particle physics can be added.
  • Chemistry can be added.

16
Fine-scale CFD Modeling of Urban Neighborhoods
17
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18
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19
Example Wind FieldWhat is the direction of the
freestream winds?
20
Example Winds from Southwest
21
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22
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23
Surface Winds and with Plume Concentration within
Building Arrays
24
Plume Initiated from Different Point Locations
- but within an Identical Wind Field.
25
Horizontal Planes - Vertical Velocity
26
Area-averaged Winds Urban Canopy
Parameterization
Wind speed
Wind direction
Upstream Inlet Blue
Upstream Inlet Blue
Area-averaged over same horizontal slice-plane
shown in the previous slide.
27
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28
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29
Automobile Microenvironments
30
Modeling Urban Roadways - Including the Vehicle
Effects
TKE
Grid Resolution
31
Modeling Urban Roadways - Including the Vehicle
Effects
Concentration
Wind Velocity
32
SUMMARY STATEMENT
  • CMAQ-like air quality modeling systems may evolve
    to support the critical needs for modeling human
    exposures to air pollutants.
  • Continued advances in computing hardware and
    software make it possible and increasingly more
    practical to consider extending present CMAQ air
    quality models to increasingly finer scales.
  • Fine-scale CFD should be interfaced with CMAQ
  • Fine-scale CFD should support CMAQ
    parameterizations
  • Fine-scale CFD models can also be applied
    independent of larger scale grid models to
    support the development of human exposure factors
    and the human exposure profiles that are
    dominated by local source emissions.

33
Disclaimer
  • The research presented here was performed under
    the Memorandum of Understanding between the U.S.
    Environmental Protection Agency (EPA) and the
    U.S. Department of Commerce's National Oceanic
    and Atmospheric Administration (NOAA) and under
    agreement number DW13921548. This work
    constitutes a contribution to the NOAA Air
    Quality Program. Although it has been reviewed by
    EPA and NOAA and approved for publication, it
    does not necessarily reflect their policies or
    views
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