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Plume Spreading

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Title: Plume Spreading


1
Plume Spreading
  • Presentation 12

2
How a Plume Spreads
  • A crucial factor in our ability to deal
    rationally with air pollution is the availability
    of models by which pollution downwind from a
    source can be predicted on a quantitative basis
  • One approach has been to argue that the turbulent
    diffusion of pollutants can be treated by an
    average diffusivity constant and an equation
    similar to that in

3
How a Plume Spreads
  • Such an average "eddy diffusivity constant" would
    be evaluated numerically on the basis of
    empirical studies
  • The meandering of a plume is accounted for in
    such models by assuming straight line downwind
    travel of the plume the average lateral
    spreading is governed by a diffusion-like
    equation, analogous to the previous equation, and
    the details of the meandering motion are averaged
    out
  • It is generally agreed that such an approach
    envisioning an average diffusive-like behavior
    must incorporate eddy diffusivity constants which
    have no precise significance in the physical
    sense
  • Hence sole justification for their use must be
    based on empirical success

4
How a Plume Spreads
  • Now we shall focus our attention on the lateral
    diffusion of a pollutant from within a plume, and
    using average eddy diffusivity constants, we
    shall derive (yes, derive!) the equation which
    governs the downwind spreading of a plume
  • Let ? again denote the concentration of pollutant
    molecules, so that n? is the number of pollutant
    molecules found in a cubic meter of air
  • The equation governing the diffusion process can
    be deduced by reference to the following figure

5
How a plume Spreads
This illustrates a hypothetical volume,
stationary above ground, through which air and
pollutants move with the wind direction parallel
to the x-axis The dimensions of this volume are
?x, ?y, and ?z, with sides parallel to the axes
of the coordinate system The rate at which the
concentration of a pollutant builds up within a
volume is given by the rate at which pollutant
molecules enter minus the rate at which they leave
  • The figure shows diffusion of pollutant molecules
    parallel to the y-axis
  • The rate at which pollutants accumulate in the
    volume element is the difference between the rate
    at which they enter and the rate at which they
    leave
  • The large arrows show the sense of flow of
    molecules if ??/?y is a negative quantity in the
    region of the volume element

6
How a Plume Spreads
  • Lets consider only the movement of molecules
    along the y-direction
  • By assuming a Fickian type of diffusion, we know
    that the rate at which pollutant molecules
    accumulate within the volume is given solely by
    the difference in the gradients of the
    concentrations at the two faces of the volume
  • One face at y and the other at y ?y, with the
    gradient at each face weighted by the eddy
    diffusivity constant at the respective face
  • The diffusion of pollutant molecules will be in
    the direction of the arrows shown in the previous
    figure
  • If ? decreases with increasing y, there will be a
    net build-up of the average value of ? within the
    volume (if more pollutant molecules enter from
    the left face than leave through the right)
  • The rate at which pollutant molecules accumulate
    in a region of the atmosphere of volume ?x?y?z is
    therefore governed by the equation

7
How a plume Spreads
  • The factor (?x?z) on the right-hand side of this
    equation is the area of the face through which
    the molecules pass
  • The subscripts x and z indicate that the gradient
    of the concentration with respect to y must be
    evaluated for a constant value of x and of z
  • A subscript y is attached to the diffusivity, D
    because, in a turbulent atmosphere, we must
    anticipate that the diffusivity along the x- and
    z-directions would differ from that along the
    y-direction
  • Dividing both sides of the equation by ?x?y?z and
    rearranging, we find

?x?y?z m3 n total molecules / m3 ?
pollutant molecules / total molecules LHS
has units of pollutant molecules / second
8
How a Plume Spreads
  • The implication of this equation can be seen more
    easily if we assume that the eddy diffusivity is
    independent of position and for the moment drop
    the subscript notation
  • The sign of the quantity in curly brackets on the
    right-hand side indicates whether the variation
    of pollutant concentration ? with y has positive
    curvature or negative curvature
  • In extreme instances, this corresponds to whether
    the concentration has a local minimum or local
    maximum, respectively, as illustrated in the
    following figure
  • This equation predicts that if the concentration
    has a local minimum, then the right-hand side of
    the equation has a positive value, and the
    concentration will increase with time
  • If it has a local maximum, the right-hand side
    has a negative value and ? will decrease with
    time
  • Thus the above equation properly predicts the
    tendency of the pollutants within a plume to
    spread uniformly throughout the atmosphere along
    the y-direction, orthogonal to the wind

9
How a plume Spreads
  • An illustration that describes a
    trend toward a uniform distribution of pollutant
    concentration ? in the atmosphere The arrows show
    the direction of diffusion of pollutant molecules
    for (left) a local minimum in ? and (right) a
    local maximum

10
How a Plume Spreads
  • Now when we turn to consider the diffusion
    process in the vertical z-direction, we conclude
    that it is governed by an equation analogous to
  • but containing an eddy diffusivity Dz which may
    differ in magnitude from the horizontal
    diffusivity Dy.

11
How a Plume Spreads
  • This leaves only the movement of molecules along
    the x-direction still to be described
  • The introduction and elimination of pollutant
    molecules from the volume for this direction is
    different, because the major cause of the
    movement is the average wind, not the diffusivity
  • The rate at which pollutant molecules enter the
    volume is approximately where ?y?z
    is the area of the face which they cross.

12
How a Plume Spreads
  • The wind speed is so much less than the
    molecular speeds that, when the pollutants enter
    the volume, their concentration readily adjusts
    to the local value ?(x). Similarly, as the wind
    carries air along the x-direction from the face
    of the volume at x to the face at x ?x, the
    relative concentration ? will be affected by the
    number of pollutant molecules which have entered
    or left the volume by diffusion in the y- and
    z-directions
  • Thus the concentration at x ? x will in general
    differ from that at x, and the rate at which
    pollutant molecules leave must be written as
  • The rate at which they accumulate per unit volume
    is therefore the difference between the rate at
    which they enter and leave

13
How a Plume Spreads
  • Now if the accumulation of the pollutant
    molecules moving along all three principal
    directions is added together, we find that the
    rate of increase in the relative concentration is
    given by
  • This equation describes the accumulation of
    pollutants at any position in the atmosphere

14
How a Plume Spreads
  • The important point to realize is that a source
    emitting pollutants at a constant rate has a
    plume whose average shape does not change with
    time
  • In other words, a steady-state condition
    prevails so the left-hand side of the previous
    equation is zero
  • Pollutants are neither accumulated nor lost at
    any position although they continually diffuse
    outward from the center line of the plume (the
    x-axis) the average concentration at any point
    in space remains constant in time
  • The equation describing the downwind dispersal
    can be more accurately written if we take the
    limiting form of the previous equation when the
    size of the volume element is considered to be
    infinitesimally small
  • In the notation of calculus, we have

15
How a Plume Spreads
  • where the signs of the type d/dy indicate partial
    derivatives that is, derivatives with respect to
    one variable (in this instance, y) when all other
    independent variables (for example, x and z) are
    considered as constants
  • This equation, together with the stipulation that
    ? 0 an infinite distance from the source,
    governs the shape of the plume as pollutants are
    carried downwind
  • The eddy diffusion constants Dy and Dz need not
    be equal

16
How a Plume SpreadsA Solution
  • For the special case in which the diffusion
    constants Dy and Dz in the previous equation are
    independent of position, the type of diffusion
    described by this equation is said to be Fickian
  • In this instance, the equation can be solved by a
    simple expression for the concentration ? of the
    pollutant if we also assume that the average wind
    speed u does not vary with position
  • Such conditions can be satisfied only
    approximately by actual atmospheric behavior
  • If pollutants are emitted from a point source at
    ground level, the solution for is then

17
How a Plume SpreadsA Solution
  • This equation gives the concentration which would
    exist in the ambient air at any position downwind
    from the source
  • We recall that the source is located at the
    origin of our coordinate system (x0, y0,z0),
    and that x is the distance directly downwind from
    the source along the plume line, y is the
    horizontal distance from the plume line, and z is
    the vertical height above the ground

18
How a Plume Spreads-A Solution
  • If we are interested in what concentration is
    experienced by a receptor, we must evaluate the
    formula by inserting the x-, y-, and
    z-coordinates of the receptor
  • Let us examine the significance of this result by
    first turning our attention to the prefactor on
    the right

19
How a Plume Spreads-A Solution
  • We note that ? is directly proportional to the
    parameter Q, which we use to represent the rate
    at which the source emits the pollutant in
    question.
  • The value of Q must be expressed in units
    commensurate with ?, that is, if ? is in
    kilograms per cubic meter, then Q must be what is
    called the mass emission rate Q QM , which is
    expressed as the number of kilograms per second
    of the pollutant issuing from the exhaust stack

20
How a Plume Spreads-A Solution
  • On the other hand, if ? is to be the fraction of
    air molecules which are pollutant molecules, then
    the emission rate must be the volume emission
    rate Q Qv , which is the volume of the
    pollutant gas emitted each second, evaluated for
    standard pressure (1000 mb) and ambient Kelvin
    temperature T.
  • The volume emission rate Qy (in cubic meters per
    second) is related to the mass emission rate QM
    (in kilograms per second) by the equation
  • Where MP is the molecular weight of the pollutant
    in kg

21
How a Plume Spreads-A Solution
  • Therefore, either Qv or QM should be used in
    place of Q in as appropriate.
  • gives us an important prediction The profile of
    the plume transverse to the wind is governed by
    what is called a binormal distribution.

22
How a Plume SpreadsA Solution
  • If for any value of x the receptor is a distance
    y from the plume line, the decrease in ? with
    increase in y follows a normal distribution, as
    described by the following factor contained in
    the solution

23
How a Plume SpreadsA Solution
  • This is known as an exponential function, where
    the exponent contains the square of the
    independent variable (y)
  • The bell-shaped (Gaussian) curve described by
    this factor has a width proportional to the
    parameter ?y called the standard deviation of the
    distribution
  • As indicated in the following figure, about 68
    of the pollutant molecules are found within 1
    standard deviation of the plume line, and 96
    within 2 standard deviations
  • The concentration at 1 standard deviation is
    about 60 of the concentration on the plume line
    at 2 standard deviations, it is 14

24
How a Plume SpreadsA Solution
  • As we said previously, the solution is a binormal
    distribution, which means that the decrease of ?
    with vertical distance from the plume line also
    follows a normal distribution
  • In general, the diffusion of pollutants
    vertically does not proceed at the same rate as
    it does in the horizontal direction, so the SD ?Z
    usually differs from ?y.
  • Since the source is located at ground level, it
    must also be understood that ? 0 for negative
    values of z.
  • The Solution as written contains no explicit
    mention of the downwind distance x of the
    receptor, although we certainly expect such a
    dependence
  • In fact the x-dependence is contained in the SDs
    ?y and ?Z

25
How a Plume SpreadsA Solution
  • In order for
  • to be a solution of
  • The SD must satisfy the conditions

26
How a Plume SpreadsA Solution
  • The square of the standard deviations, known as
    the variances (?2), are thus required to be
    proportional to the respective diffusivities and
    to the downwind distance.
  • They are inversely proportional to the wind
    speed.
  • From these conditions it is evident that the
    larger the diffusivity for the transverse
    direction, the more rapidly the plume spreads
    with downwind distance.
  • The solution given above thus logically accounts
    for a more rapid diffusion of a plume when there
    is a greater intensity of turbulence.
  • The shape of the spreading plume as ?y increases
    downwind is illustrated in the following figure
    for the concentration at ground level.

27
How a Plume SpreadsA Solution
Source
  • The above figure illustrates representative
    ground-level concentration for several transverse
    profiles downwind from a point source.

28
How a Plume SpreadsA Solution
  • Our preceding discussion assumes that the
    pollutants in the effluent are gaseous, because
    they respond to turbulence and mix just as air
    molecules do.
  • The results are not valid for large particles
    which may be in the effluent, because for them
    the sedimentation owing to gravity is an
    important effect.
  • In vigorously turbulent areas, particles up to 30
    microns radius do not settle at an appreciable
    rate since they are more responsive to the eddy
    motions and effectively follow the surrounding
    gas, at least for a few hours.
  • Thus the diffusion of such small particles can
    also be described by the previous equation
  • Larger particles will settle and will produce
    higher concentrations near the source than is
    predicted by this formula

29
Random or Correlated
  • If the plume width is considered to be the
    standard deviation ? in either transverse
    direction, then
  • indicates that the width increases with the
    square root of the distance traveled downwind.
  • This feature is characteristic of Fickian
    diffusion from a point source.
  • If, on the average, there is a random migration
    of pollutant molecules, then
  • is supported by established molecular theory. If
    not, then the problem must be approached with a
    much higher degree of theoretical sophistication.
  • Any correlation between the behavior of different
    portions of a plume implies that the
    relationships between the variances and distance
    x in the first equation above are invalid.

30
Random or Correlated
  • Now our discussion on the characteristics of
    atmospheric turbulence shows that in some
    instances there will be a degree of correlation
    with atmospheric diffusion.
  • Statistical theories based upon the work of G. I.
    Taylor can relate the parameters ?y and ?z to
    expressions for the correlation of wind
    velocities in different portions of the plume
  • However, in most cases we do not know what the
    correlation expressions are for the actual
    turbulence in a given geographical locality.
  • Thus we are at a standoff so far as their
    applications are concerned.
  • But nevertheless we are warned that for most
    practical cases the Fickian diffusion model is to
    a degree inadequate.
  • It is still instructive to consider the general
    features of plume dispersal that the Fickian
    model predicts.

31
Random or Correlated
  • We might anticipate that these are at least
    qualitatively accurate for describing the
    dispersal in turbulent atmospheres.
  • The important features of
  • 1. The downwind concentration at any location is
    directly proportional to the emission rate of the
    source.
  • This is because Fickian diffusion is a linear
    process, dependent only upon the gradient of the
    concentration.
  • 2. The more turbulent the atmosphere, the more
    rapid the spread of the plume in the transverse
    direction.
  • Turbulence increases the eddy diffusivity in

32
Random or Correlated
  • 3. The maximum concentration at ground level is
    found directly downwind, on the plume line, and
    is inversely proportional to the downwind
    distance from the source.
  • 4. The maximum concentration decreases for higher
    wind speeds
  • Even on the plume line, where at ground level
    there is no explicit dependence on (because
    ?y?z is inversely proportional to ), the
    ground-level concentration will actually decrease
    with increasing wind.
  • This is because the eddy diffusivity DZ increases
    with wind speed due to increased mechanical
    turbulence
  • These are 4 key features of most models which
    describe the dispersal of emissions from a point
    source at ground level
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