Atmospheric Dispersion Flashcards

1
Q

Air quality/ Dispersion Modeling

A

use mathematical and numerical
techniques to simulate the physical and chemical
processes that affect air pollutants as they disperse and
react in the atmosphere.

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2
Q

What are the 5 major physical processes in air pollution dispersion modeling?

A

Emission
Chemical reaction
Pollutant advection
Diffusion
Deposition

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3
Q

Simple One Box Model

A

Stationary atmospheric box
Global Atmosphere: Fin + Fout = 0
Transport A flow of x into the box (Fin) and out of the box (Fout)
Rate of change of X will depend on sources (Fin + E + P) and Sinks (Fout - L - D)

dm/dt = Σsources - Σ sinks = Fin + E + P - Fout - L - D

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4
Q

Multi Box Model

A

Change in concentration in one box will depend on the other box.
✘ In a steady state, dm1/dt = dm2/dt = 0

Assuming that the flux is proportional to the mass, Fij = kij*mij

Ex. 2-Box Model
3-Box Model

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5
Q

Advection Model

A

Qa/ Zi = u ∆C/ ∆x
c =∆xQa/ uZi

Assuming:
steady-state emissions and atmospheric conditions

○ Complete mixing of pollutants up to zi is produced.
○ The turbulence is strong enough that the pollutant concentration
is C uniform in the whole volume of air
○ The wind blows in x direction with velocity u. This velocity is constant
and is independent of time, location or elevation.
○ The air pollution emission rate is Qa. It is constant and unchanging
with space and time.

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6
Q

Atmospheric Diffusion assumptions:

A

○ Pollutant material takes on Gaussian distribution in both y
and z directions
○ Not reacting chemically in the atmosphere
○ Steady-state condition
○ Uniform continuous emission rate
○ Homogenous, horizontal wind field. Wind speed constant
○ The aerosol diameter to be smaller than 20 μm for
residence time to be large
○ Flat terrain

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7
Q

Characteristics of an average plume

A

WInd, M
Plume centerline
Plume spread
Plume rise
Source or stack height
Centerline height, zcL

Plume rise is the additional height owing to the
buoyancy of the hot gases and the momentum of the
gases leaving the stack.

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8
Q

Atmospheric Diffusion: Gaussian Model

A

C (x,y,z) = Q/ (2pi* σy σzu) * e ^[-1/2(y/ σy)^2]* {e^[-1/2(Z-ZcL/ σz)^2]+ e^[-1/2(Z+ZcL/ σz)^2]}

Where:
- C(x,y,z) : concentration of pollutant at point (x,y,z), expressed in μg/m3
- Q the emission rate expressed in μg/s
- u the wind velocity (m/s)
- σy & σz the plume-spread standard deviations in y and z direction
- ZcL = H + ∆h is the height of the plume centerline above ground,
- U is the average ambient wind speed at the plume centerline height

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9
Q

Concentration at ground level (z = 0) (with ground reflection): c (x, y, 0)

A

C (x,y,z) = Q/ (pi* σy σzu) * e ^[-1/2(y/ σy)^2]* {e^[-1/2(ZcL/ σz)^2]

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10
Q

Concentration at ground level (z = 0) on centerline (y=0) (with
ground reflection): c (x, 0, 0)

A

C (x,y,z) = Q/ (pi* σy σzu)]* {e^[-1/2(ZcL/ σz)^2]

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11
Q

Concentration at ground level (z = 0, y = 0, h = 0)(with ground
reflection): c (x, 0, 0), h = 0

A

C (x,y,z) = Q/ (pi* σy σzu)]

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12
Q

Plume rise

A

∆h = (1.6 F^1/3* x^(2/3)f)/ u

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13
Q

Following approximations for x

A

xf = 120 F^0.4 if F >_ 55 m^4/s^3

xf = 50 F^5/8 if F < 55 m^4/s^3

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14
Q

F = gVs (d^2/4)* (Ts-Ta/ Ts)

A

F is the coefficient of flux buoyancy (m^4* s^-3)
g is the coefficient of the acceleration gravitational settling (ms^-2)
d is the stack diameter (m)
Ta is the air temperature at the height of the stack (K)
Ts is the temperature at the height of the stack (K)
Vs is the exit velocity from the stack (m/s)

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15
Q

Mean Wind speed formula

A

u (z) = u0 (z/z0) ^p

where:
u(z) = wind speed at plume height, z
u0 = wind speed at instrument height
z = plume height (m)
z0 = instrument height (m)
p = factor which depends on stability condition of atmosphere

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16
Q

Plume spread - standard deviations

A

Depends on:
○topography of the area of interest
○ the atmospheric stability
○ the distance and time from the start of the
dispersion

Analytically:
σy = ax^b and σz = cx^d

Recently, EPA uses:
σy = 1000x tan(TH) / 2.15

Useful tables in the book for clarity. Table 6.2 & 6.3

17
Q

Conical Plume structure

A

Observed on overcast days with light wind and no strong thermal current.
Micrometeorological conditions:
1. Slightly unstable or neutral stability
2. Moderate wind speed
3. Dispersion model fits best

18
Q

Looping Plume Structure

A

Observed on bright sunny days when there is a high degree of vertical mixing.
MIcrometeorological conditions:
1. Highly unstable
2. Light Winds and Sunshine
3. HIgh degree of turbulence