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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 · DISPER software

                 

DEMO Download - Price

 

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

Software para impacto medio ambiental  

Canary Islands, Spain

e-mail: contact us

 

 

 

European network on pollution · European Union

Member of MAPO: European network on Marine Pollution. Project

funded by the European Commission through the

6th Framework Programme for Research and Development

air modeling

 

 

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

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

SOLUTIONS: Air pollution dispersion · 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

 

 

                 

 

DISPER software solutions: This application has been used in great number of environmental reports, air pollution courses and air pollution studies in the last years. We currently have users in more than 10 countries.

cars and air pollution  - air pollution caused by cars  - air pollution by cars  -

car air quality  - air pollution from car  - cars cause air pollution  -

Essex -  car exhaust air pollution  - air pollution by car  -

Kent - zero air pollution cars  - air quality tests

Staffordshire - cars contribute to air pollution  - air pollution caused by car  -

Lancashire - car cabin air quality  - hybrid cars air pollution  -

Gloucestershire - air fuel cars  - air quality tests

Cornualles -  air gas  - air quality tests

Hampshire - air pollution comparison  -

Suffolk - pollution causes  - air quality tests

Cambridgeshire - motor vehicle air pollution -

Northumberland -  air pollution due to vehicles - vehicle emissions air quality - vehicle emissions air quality uk -

Cumbria  -  on the costs of air pollution from motor vehicles -

Shropshire - environmental pollution - air quality tests

Devon - air pollution co2 - air pollution dust - air pollution exhaust -

Lincolnshire - air pollution reduction - air quality tests

Wiltshire - air pollution traffic - air pollution particles - air pollution so2 -

North Yorkshire  -  industry pollution - air pollution atmospheric - air pollution transport -

Norfolk -  air pollution concentrations - air pollution level - air pollution study -

Aberdeen - air pollution particulate - air pollution urban - air pollution permit -

Armagh - air pollution burning - air pollution sulfur - pollution source -

Bangor - air pollution carbon - automobile vehicle

Bath - air pollution pm - vehicle cars - pollution sources -

Belfast - air pollution inventory - control pollution - report pollution -

 

Chichester - dispersion simulation  - water gas  - particle dispersion -

City of London - dispersion method  - thermal dispersion  - filter dispersion  -

Coventry - oil dispersion  - gas modeling  - velocity dispersion  -

Derby - carbon dioxide dispersion  - industrial dispersion  -

Derry - diesel gas  - gas dynamics  - gas filtration  -

Dundee -  temperature dispersion  - turbulence dispersion  - flow dispersion  -

Gloucester - gas dispersion tubes  - gas dispersion modeling  - gas dispersion frit  -

Hereford - heavy gas dispersion  - dense gas dispersion model  -

Kingston upon Hull - co2 dispersion  - dispersion modeling  - nitrogen gas  -

Lancaster - gas density  - solid dispersion  - oxygen gas  -

Leeds - gas epa  - wind dispersion  - dispersion models  -

Leicester - air pollution dispersion  - water dispersion  - gas simulation  -

Lichfield - gas diffusion  - gas stability  - gas design  -

Lincoln - gas plume  - gas models  - dispersion modelling  -

Newry - numerical dispersion  - plant dispersion  - gas membrane  -

Norwich - gas pollution  - plume dispersion  - dispersion diffusion  -

Nottingham - vacuum dispersion  - data dispersion  - gas equations  -

Oxford - model dispersion  - gas calculation  - gas air pollution  -

Peterborough - gas dispersion software  - air gas  - dispersion fluid  -

Stirling - chemical dispersion  - dispersion theory  - dispersion calculation  -

Stoke-on-Trent - heat dispersion  - hydrogen dispersion  - dispersion air  -

Swansea - gas forces  - dispersion equation  - gas distillation  -

Wells - gas dispersion model  - fundamentals of stack gas dispersion  -

Winchester - dense gas dispersion  - stack gas dispersion  - dispersion fuel  -

 

 

Copyright © 2005 Canarina Algoritmos Numéricos, Sociedad Limitada Unipersonal CIF-B38803110 registered for electronic commerce in sheet TF-35526, sheet 1 of the volume 2.671 of the General Section, First Registration, Registro de la Propiedad Número 2 y Marcantil of , Spain. All rights reserved.