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DISPER software: Air pollution map produced by three different stacks (XZ-plane)
Canarina software for analysis of air pollution in environment: air pollution control, environmental engineering, environmental consultancy service, environment simulation, environmental modeling and environmental impact assessment. Air dispersion software: ISC 109 flows
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DISPER: Air pollution dispersion ˇ DISPER - Solutions - Data - Algorithms - Emissions - Graphs - ISC3 (VOL. 2)
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For
a Gaussian, sector-averaged plume, the hourly concentration at downwind distance x (meters) and crosswind distance y (meters) is
given by:
|
|
where:
Q = pollutant
emission rate (mass per unit time),
|
K |
= units scaling coefficient (see
Equation (1‑1)) |
|
Δθ´ |
= the
sector width in radians (=0.3927) |
|
R |
= radial
distance from the point source to the receptor = [(x+xy)2
+ y2]1/2 (m) |
|
x |
= downwind
distance from source center to receptor, measured along the plume axis (m) |
|
y |
= lateral
distance from the plume axis to the receptor (m) |
|
xy |
= lateral virtual distance for volume
sources (see Equation (1‑35)), equals zero for point sources (m) |
|
us |
= mean wind speed (m/sec) at
stack height |
|
σz |
= standard
deviation of the vertical concentration distribution (m) |
|
V |
= the Vertical Term (see Section 1.1.6) |
|
D |
= the Decay Term (see Section 1.1.7) |
|
CORR |
= the attenuation correction factor for
receptors above the plume centerline height (see Section 1.5.8) |
