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COMMANDS:

Input data I

Input data II

Input data III

Input data IV

average

Import

commands

 

ALGORITHMS:

Algorithms I

Algorithms II

Algorithms III

Algorithms IV

Algorithms V

Algorithms VI

Algorithms VII

Algorithms VIII

Algorithms IX

Algorithms X

 

EMISSIONS:

Emissions I

Emissions II

Emissions III

Pollutants I

Pollutants II

 

GRAPHS:

Graphs I 

Graphs II

Graphs III 

Graphs IV

 

   

Algorithms V ˇ DISPER software

                 

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Stability Parameter

For stable situations, the stability parameter, s, is calculated:

s=g[(dT/dz)/Ta]         (16)

As a default approximation, for stability class E (or 5) dT/dz is taken as 0.020 K/m, and for class F (or 6), dT/dz is taken as 0.035 K/m.

Stable - Crossover Between Momentum and Buoyancy

For cases with stack gas temperature greater than or equal to ambient temperature, it must be determined whether the plume rise is dominated by momentum or buoyancy. The (DT)c  is determined and solving for DT, as follows:

(DT)c=0.019582 Ts vs s1/2      (17)

If the difference between DT exceeds or equals (DT)c, plume rise is assumed to be buoyancy dominated, otherwise plume rise is assumed to be momentum dominated.

Stable - Buoyancy Rise

For situations where DT exceeds (DT)c as determined above, buoyancy is assumed to dominate. The distance xf is determined by

xf=2.0715 us s-1/2        (18)

The plume height, he, is determined by

he=hs+2.6 [Fb/(uss)]1/3         (19)

Stable - Momentum Rise

Where the stack gas temperature is less than or equal to the ambient air temperature, the assumption is made that the plume rise is dominated by momentum. Then,

he=hs+1.5[Fm/(uss1/2)]1/3       (20)

The equation for unstable-neutral momentum rise is also evaluated. The lower result of these two equations is used as the resulting plume height.

 

Algorithms I - Algorithms II - Algorithms III - Algorithms IV - Algorithms V Algorithms VI - Algorithms VII - Algorithms VIII - Algorithms IX - Algorithms X

 

 

 

Air pollution map (XY-Plane) produced by continuous discharge in time (three stacks). The red colour represents high pollutant concentrations. Wind: W (270 degrees).

 

Air pollution map (XY-Plane) produced by continuous discharge in time. The fucshia lines represents a stacks in the XY-Plane. The red colour represents high pollutant concentrations. Winds: NE (45 dregrees) and 145 degrees.

 

Canarina Algoritmos Numéricos, S.L.

Environmental software solutions

Canary Islands, Spain

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CANARINA: Home - Air pollution ˇ DISPER - Noise pollution ˇ CUSTIC - Water pollution ˇ DESCAR - Contact us

DISPER: Air pollution dispersion ˇ DISPER - Solutions - Data - Algorithms - Emissions - Graphs - ISC3 (VOL. 2)

SOLUTIONS: Air pollution dispersion ˇ DISPER - Software solutions - Software advantages - Price - DEMO download

COMMANDS: Input data I - Input data II - Input data III - Input data IV - Temporal average - Import and export data - Software commands

ALGORITHMS: Algorithms I - Algorithms II - Algorithms III - Algorithms IV - Algorithms V Algorithms VI - Algorithms VII - Algorithms VIII - Algorithms IX - Algorithms X

EMISSIONS: Emissions I - Emissions II - Emissions III - Pollutants I - Pollutants II

GRAPHS: Graphs I - Graphs II - Graphs III - Graphs IV