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SOLUTIONS: DISPER  

solutions

advantages

Price

DEMO

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

Non-point source emissions

The DISPER model include algorithms to model line and area  sources, in addition to point sources. These non-point source options of the model are used to simulate the effects of emissions from a wide variety (conveyor belts, rail lines, area sources,…). The area source model is used to simulate the effects of fugitive emissions from sources such as storage piles and slag dumps.

In this application, the area and line sources (non-point sources) are represented by small many intervals (point sources). The program simulates the non-point sources solving each one of the defined intervals and calculating the total concentration. A great number of point sources simulates the geometry of these non-point sources.

References

Bowers, J.F., J.R. Bjorklund and C.S. Cheney, 1979:  Industrial Source Complex (ISC) Modelo de dispersión User's Guide. Volume I, EPA-450/4-79-030, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina 27711.

Bowers, J.R., J.R. Bjorklund and C.S. Cheney, 1979:  Industrial Source Complex (ISC) Modelo de dispersión User's Guide. Volume II, EPA-450/4-79-031, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina  27711.

Briggs, G.A., 1969, Plume Rise, USAEC Critical Review Series, TID-25075, National Technical Information Service, Springfield, Virginia  22161.

Briggs, G.A., 1979:  Some Recent Analyses of Plume Rise Observations, In Proceedings of the Second International Clean Air Congress, Academic Press, New York.

Briggs, G.A., 1972:  Discussion on Chimney Plumes in Neutral and Stable Surroundings. Atmos. Environ., 6, 507-510.

Briggs, G.A., 1974:  Diffusion Estimation for Small Emisiones. In ERL, ARL USAEC Report ATDL-106.  U.S. Atomic Energy Commission, Oak Ridge, Tennessee.

Briggs, G.A., 1975:  Plume Rise Predications.  In Lectures on Air Pollution and Environmental Impact Analysis, American Meteorological Society, Boston, Massachusetts.

Gifford, F.A., Jr. 1976:  Turbulent Diffusion - Typing Schemes: A Review.  Nucl. Saf., 17, 68-86.

Hicks, B.B., 1982:  Critical assessment document on acid deposition.  ATDL Contrib. File No. 81/24, Atmos. Turb. and Diff. Laboratory, Oak Ridge, TN.

Holzworth, G.C., 1972:  Mixing Heights, Wind Speeds and Potential for Urban Air Pollution Throughout the Contiguous United States.  Publication No. AP-101, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina  27711.

McElroy, J.L. and F. Pooler, 1968:  The St. Louis Dispersion Study.  U.S. Public Health Service, National Air Pollution Control Administration, Report AP-53.

Pasquill, F., 1976:  Atmospheric Dispersion Parameters in Gaussian Plume Modeling.  Part II.  Possible Requirements for Change in the Turner Workbook Values. EPA-600/4-76-030b, U.S. Environmental Protection Agency, Research Triangle Park, North Carolina  27711.

Press, W., B. Flannery, S. Teukolsky, and W. Vetterling, 1986:   Numerical Recipes, Cambridge University Press, New York, 797 pp.

Schulman, L.L. and S.R. Hanna, 1986:  Evaluation of Downwash Modifications to the Industrial Source Complex Model.  J. Air Poll. Control Assoc., 36 (3), 258-264.

Turner, D.B., 1970:  Workbook of Atmospheric Dispersion Estimates.  PHS Publication No. 999-AP-26.  U.S. Department of Health, Education and Welfare, National Air Pollution Control Administration, Cincinnati, Ohio.

Directiva 1999/30/CE del Consejo de 22 de abril de 1999 relativa a los valores límite de dióxido de azufre, dióxido de nitrógeno y óxidos de nitrógeno, partículas y plomo en el aire ambiente.

Directiva 2000/69/CE del Parlamento Europeo y del Consejo de 16 de noviembre de 2000 sobre los valores límite para el benceno y el monóxido de carbono en el aire ambiente.

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: SW (225 degrees).

Pollution map (XY-Plane) produced by continuous discharge in a road region. The fucshia squares represent the road line (position of the different point sources) in a XY-Plane. The red colour represents high pollutant concentrations.

Canarina Algoritmos Numéricos, S.L.

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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.

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.