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CANARINA:
DISPER:
Applications
1 air pollution
modeling software
9 environmental risk assessment
20 air
pollution dispersion modeling
24
air quality modeling
software
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Algorithms II · atmospheric pollution Plume Rise Formulas The plume height is used in the calculation of the Vertical Term. The distance dependent momentum plume rise equations are used to determine if the plume is affected by the wake region for building downwash calculations. Stack-tip Downwash. In order to consider stack-tip downwash, modification of the physical stack height is performed. The modified physical stack height hs is found from: hs’=hs+2ds[(vs/us)-1.5] for vs<1.5us (5) or hs’=hs for vs> o =1.5us (6) where hs is physical stack height (m), vs is stack gas exit velocity (m/s), and ds is stack top diameter (m). If stack tip downwash is not considered, hs’= hs in the following equations. Buoyancy and Momentum Fluxes. For most plume rise situations, the value of the Briggs buoyancy flux parameter, Fb (m4/s3), is needed Fb=gvsds2(DT/4Ts) (7) where DT = Ts - Ta, Ts is stack gas temperature (K), and Ta is ambient air temperature (K). For determining plume rise, the momentum flux parameter, Fm (m4/s2), is calculated based on the following formula: Fm=gvs2ds2(Ta/4Ts) (8) Unstable or Neutral - 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 crossover temperature difference, (DT)c, is determined as follows: for Fb < 55, (DT)c=0.0297 Ts(vs/ds2)1/3 (9) and for Fb >= 55, (DT)c=0.00575 Ts(vs2/ds)1/3 (10) If DT, exceeds or equals (DT)c, plume rise is assumed to be buoyancy dominated, otherwise plume rise is assumed to be momentum dominated. Unstable or Neutral - Buoyancy Rise. For situations where DT exceeds (DT)c as determined above, buoyancy is assumed to dominate. The distance to final rise, xf, is assumed to be 3.5x*, where x* is the distance at which atmospheric turbulence begins to dominate entrainment. The value of xf is calculated as follows: for Fb < 55: xf=49Fb5/8 (11) and for Fb >= 55: xf=119Fb2/5 (12) The final effective plume height, he (m), is determined as for Fb < 55: he=hs+(21.425 Fb3/4/us) (13) and for Fb = 55: he=hs+(38.71 Fb3/5/us) (14) Unstable or Neutral - Momentum Rise. For situations 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. If DT is less than (DT)c, the assumption is also made that the plume rise is dominated by momentum. The plume height is calculated as: he=hs+3ds(vs/us) (15) Briggs suggests that this equation is most applicable when vs/us is greater than 4. 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. atmospheric pollution DISPER D13 D14 D15 D16 D17 D18 D19 D20 D20 D22 D23 D24 D23
DISPER Applications air pollution modeling software flare stacks odor units air dispersion models environmental GIS environmental reports indoor air quality environmental health environmental risk assessment stack testing atmospheric pollution air modeling gas dispersion
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