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Session 3, Unit 5 Dispersion Modeling

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Molecular diffusion is negligible. The atmosphere is incompressible ... Reconcile the solutions from the two approaches. Instantaneous sources. Continuous sources ... – PowerPoint PPT presentation

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Title: Session 3, Unit 5 Dispersion Modeling


1
Session 3, Unit 5Dispersion Modeling
2
The Box Model
  • Description and assumption
  • Box model
  • For line source with line strength of QL
  • Example

3
A More Realistic but Simple Approach
  • Basic assumption
  • Time averaged concentration is proportional to
    source strength
  • It is also inversely proportional to average wind
    speed
  • It follows a distribution function that fits
    normal distribution (Gaussian function)

4
A More Realistic but Simple Approach
  • Resulting dispersion equation

5
Eulerian Approach
  • Fixed coordinate system
  • Continuity equation of concentration ci
  • Wind velocities uj consist of 2 components
  • Deterministic
  • Stochastic

6
Eulerian Approach
  • uj random ? ci random ? No precise solution
  • Even determination of mean concentration runs
    into a closure problem

7
Eulerian Approach
  • Additional assumptions/approximations
  • Chemically inert (Ri0)
  • K theory (or mixing-length theory)
  • Where Kjk is the eddy diffusivity, and is
    function of location and time
  • Molecular diffusion is negligible
  • The atmosphere is incompressible
  • Resulting semiempirical equation of atmospheric
    dispersion

8
Eulerian Approach
  • Solutions
  • An instantaneous source (puff)

9
Eulerian Approach
  • A continuous source
  • Plume is comprised of many puffs each of whose
    concentration distribution is sharply peaked
    about its centroid at all travel distances
  • Slender plume approximation the spread of each
    puff is small compared to the downwind distance
    it has traveled
  • Solution

10
Lagrangian Approach
  • Concentration changes are described relative to
    the moving fluid.
  • A single particle
  • A single particle which is at location x at time
    t in a turbulent fluid.
  • Follow the trajectory of the particle, i.e. its
    position at any later time.
  • Probability that particle at time t will be in
    volume element of x1 to x1dx1, x2 to x2dx2, x3
    to x3dx3

11
Lagrangian Approach
  • Ensemble of particles.
  • Ensemble mean concentration

12
Lagrangian Approach
  • Solutions
  • Instantaneous point source of unit strength at
    its origin, mean flow only in x direction
  • Continuous source

13
Eulerian vs. Lagrangian
  • Eulerian
  • Fixed coordinate
  • Focus on the statistical properties of fluid
    velocities
  • Eulerian statistics are readily measurable
  • Directly applicable when there are chemical
    reactions
  • Closure problem no generally valid solutions
  • Lagrangian
  • Moving coordinate
  • Focus on the statistical properties of the
    displacements of groups of particles
  • No closure problem
  • Difficult to accurately determine the required
    particle statistics
  • Not directly applicable to problems involving
    nonlinear chemical reactions

14
Eulerian vs. Lagrangian
  • Reconcile the solutions from the two approaches
  • Instantaneous sources
  • Continuous sources
  • Limitation for both approaches
  • Lack of exact solutions
  • Solutions only for idealized stationary (steady
    state), homogeneous turbulence
  • Rely on experimental validation

15
Physical Picture of Dispersion
  • Dispersion of a puff under three turbulence
    condition
  • Eddies lt puff ? Significant dilution
  • Eddies gt puff ? Limited dilution
  • Eddies puff ? Dispersed and distorted
  • Molecular diffusion vs. atmospheric dispersion
    (eddy diffusion)
  • Instantaneous vs. continuous
  • Description of plume
  • Time averaged concentrations for continuous
    sources

16
Gaussian Dispersion Model
  • Same as Lagrangian solutions
  • For an instantaneous sources (a puff)
  • For a continuous source at a release height of H

17
Gaussian Dispersion Model
  • Ground reflection
  • Special cases
  • Ground level receptor (z0)
  • Center line (y0)
  • Ground level source (H0)

18
Gaussian Dispersion Model
  • Maximum ground level concentration and its
    location
  • Graphical solution
  • Accuracy of the Gaussian dispersion model

19
Session 3, Unit 6Dispersion Coefficients
20
Factors Affecting s
  • Wind velocity fluctuation
  • Friction velocity u
  • Monin-Obukhov length L
  • Coriolis parameter
  • Mixing height
  • Convective velocity scale
  • Surface roughness

21
Pasquill-Gifford Curves
  • Condense all above factors into 2 variables
    stability class and downwind distance
  • Charts
  • Numeric formulas
  • Averaging time
  • 3-10 minutes
  • EPA specifies 1 hour

22
Field Measurements
  • Problem 7.8
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