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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

 

 

Algorithms II · DISPER software

                 

DEMO Download - Price

 

Downwind and Crosswind Distances

The model uses a Cartesian receptor network. All receptor points are converted to Cartesian (X,Y) coordinates prior to performing the dispersion calculations. In the Cartesian coordinate system, the X axis is positive to the east of the user-specified origin and the Y axis is positive to the north. The user must define the location of each source with respect to the origin of the grid using Cartesian coordinates. If the X and Y coordinates of the source are X(S) and Y(S), the downwind distance x to the receptor, along the direction of plume travel, is given by:

x=-[X(R)-X(S)]sin(WD)-[Y(R)-Y(S)]cos(WD)        (2)

where WD is the direction from which the wind is blowing. The downwind distance is used in calculating the distance-dependent plume rise and the dispersion parameters. The crosswind distance y to the receptor from the plume centerline is given by:

y=-[X(R)-X(S)]cos(WD)-[Y(R)-Y(S)]sin(WD)        (3)

Wind Speed Profile

The wind power law is used to adjust the observed wind speed, uref, from a reference measurement height, zref, to the stack or release height, hs. The stack height wind speed, us, is used in the Gaussian plume equation. The power law equation is of the form:

us=uref(hs/zref)p     (4)

where p is the wind profile exponent. Values of p may be provided by the user as a function of stability category and wind speed class. Default values are as follows:

Stability Category

Rural Exponent

Urban Exponent

A

0.07

0.15

B

0.07

0.15

C

0.10

0.20

D

0.15

0.25

E

0.35

0.30

F

0.55

0.30

The stack height wind speed, us, is not allowed to be less than 1.0 m/s.

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: SE (135 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: E (90 dregrees) and 70 degrees.

 

Canarina Algoritmos Numéricos, S.L.

Environmental software solutions

Software para impacto del medio ambiente  

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

gaussian dispersion

 

 

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.

Cáceres: air pollution graph - air pollution graphs - particulate air pollution

Burgos: air quality charts - measure air quality

Alicante: water pollution graph - environment pollution - particulate air pollution

Albacete:  pollution pollutants - graph charts - monitoring pollution - particulate air pollution

Barcelona: air pollution data - measure air quality

A Coruña: air pollution pm - pollution issues - air pollution climate - particulate air pollution

Aberdeen - air pollution concentrations - air pollution level - pollution causes - air pollution urban -

Armagh - effect pollution - air pollution particulate - air pollution about - particulate air pollution

Bangor - data graph - pollution impacts - air pollution burning -

Bath - impact pollution - pollution source - oil air - measure air quality

Belfast - air pollution regulations - air pollution particles - weather graph -

Birmingham - industry pollution - air pollution levels - air pollution so2 -

Bradford - oil pollution - emission pollution - air pollution industrial - measure air quality

Brighton & Hove - control air - sources of pollution - pollution problems -

Bristol - air pollution atmospheric - air pollution diesel - air pollution concentration -

 

Cambridge - air pollution pm10 - pollution global warming - air pollution coal -

Canterbury - Cl2 chart on air pollution - NOx graphs for air pollution - graphs about air pollution

Cardiff - air pollution standard - air pollution vehicle - health pollution -

Carlisle - people pollution - pollution emissions - epa pollution -

Chester - air pollution reduce - air pollution exhaust - measure air quality

Chichester - air pollution weather - air gas - air pollution dust -

City of London - graphs on air pollution - graphs of air pollution - air quality chart -

Derby - climate graph - air pollution study - effect of pollution - measure air quality

Exeter - report pollution - graph statistics - control pollution - pollution sources -

Newry - health effects pollution - population pollution - effects pollution -

Oxford - chart of air pollution - air pollution pie chart - air quality index chart -

Peterborough - air quality graph - air quality graphs - graph on air pollution -

Plymouth - air pollution chart - air pollution charts - graph of air pollution -

Salisbury - air pollution statistics - air pollution facts - air pollution smog -

Sheffield - air polution graph - air pollution pie charts - acid rain pollution -

St Albans - charts on air pollution - charts of air pollution  - air pollution bar graph -

 

Ripon - gases air pollution - industrial air exhaust - major air pollution -

St Albans - industrial indoor air quality  - industrial air pollution in india  - industrial air quality inc  -

Swansea - pollution pollutants - atmospheric air pollution - health effects pollution -

Truro - monitoring pollution - soil pollution - air gas - reducing air pollution -

Wakefield - atmosphere air pollution - smoke air pollution - outdoor air pollution -

Wells - smog air pollution - industrial water pollution - indoor air pollution -

Westminster - pollution emissions - pm10 air pollution - epa pollution -

Winchester - asthma air pollution - nox air pollution - lead air pollution - industrial air monitoring -

Wolverhampton - particulates air pollution - environmental pollution - voc air pollution -

Worcester - coal air pollution - water pollution - chemical air pollution -

York - causes of pollution - industrial noise pollution - so2 air pollution -

 

 

 

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.