CANARINA:
DISPER:
SOLUTIONS: DISPER
COMMANDS:
ALGORITHMS:
EMISSIONS:
GRAPHS:
Ambient data:
Ambient conditions are defined by the land and atmospheric conditions in the vicinity of the pollutant emission. This Menu lists: Meteorology and Topographic lines.
Meteorology: DISPER analyses, as all mixing zone evaluations, are usually carried out under the assumption of steady-state ambient conditions. If you click this command, the next dialog box is shown:
The necessary data in the Meteorology command is:
Pasquill stability: Classification scheme that describes the degree of atmospheric turbulence. Categories range from extremely unstable (A=1) to extremely stable (F=6). Unstable conditions promote the rapid dispersion of atmospheric contaminants and result in lower air concentrations compared with stable conditions.
Wind speed at reference anemometer height (m/s): The measurement of wind speeds is usually done using a cup anemometer. The cup anemometer has a vertical axis. The number of revolutions per minute is registered electronically.
Wind angle (0 to 360 degrees): It is the horizontal angle of wind measured clockwise from the North (at the window top).
Ambient temperature (K): The temperature of the medium surrounding an object. This is the air temperature at stack location.
Mixing height (m): Mixing Height is used by meteorologists to quantify the vertical height of mixing in the atmosphere. It is the height at which vertical mixing takes place. There is a smaller volume which the pollutant can be dispersed. There is a seasonal variation of mixing height. For Summer daylight hours maximum mixing height can be a few thousand feet where as for Winter it can be a few hundred feet. It is lowest at night and increases during the day.
Anemometer height (m): This is the ambient temperature at stack location.
RURAL/URBAN option: This is the RURAL/URBAN terrain options.
Obtain K value: With this button, you can estimate the Pasquill stability category if it is unknown. If you know the K value, you don't need to use this command. You can write it directly in the Meteorology window. If you click this button, the next dialog box is shown:
Input data I - Input data II - Input data III - Input data IV - Temporal average - Import and export data - Software commands
Air pollution map (XY-Plane) produced by continuous discharge in time (three stacks). The red colour represents high pollutant concentrations. Wind: E (90 degrees).
Air pollution map (XY-Plane) produced by continuous discharge in time (two stacks). The red colour represents high pollutant concentrations. Wind: S (180 degrees).
Canarina Algoritmos Numéricos, S.L.
Environmental software solutions
Software for environmental impact
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
Chlorine · dispersion software
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.
Newry - air quality monitors - beijing air pollution - air quality analysis - urban air quality
Norwich - quality air conditioning - air and water quality - how to reduce air pollution - urban air quality
Nottingham - nitrogen oxides air quality modeling - carbon monoxide air quality modeling - environmental impact and toxic waste air quality modeling -
Oxford - HNO3 air quality dispersion modeling - smog air quality modeling - particulate air quality modeling -
Peterborough - atmospheric environmental issues - gaussian plume calculation - chlorofluorocarbon air quality modeling -
Plymouth - SOx air quality dispersion modeling - PM air quality dispersion modeling - NH3 air quality dispersion modeling -
Portsmouth - air quality report in schools - NOx air quality dispersion modeling - Cl2 air quality dispersion modeling -
Preston - photochemical air quality modeling - biomonitoring of air quality plants - indoor air quality -
Dundee - NOx air quality dispersion modeling - Cl2 air quality dispersion modeling - SOx air quality dispersion modeling -
Durham - PM air quality dispersion modeling - NH3 air quality dispersion modeling - HNO3 air quality dispersion modeling -
Edinburgh - stack downwash modelization - particulates air quality modeling - photochemical smog air dispersion -
Ely - ozone air quality modeling - local air quality - pollution of air - urban air quality
Exeter - air quality alert - air quality guidelines - current air quality - urban air quality
Glasgow - the effects of air pollution - definition of air pollution - control of air pollution - urban air quality
Gloucester - air quality assessment - impact of air pollution - source of air pollution -
Hereford - air quality report in schools - NOx air quality dispersion modeling - Cl2 air quality dispersion modeling -
Inverness - SOx air quality dispersion modeling - PM air quality dispersion modeling - NH3 air quality dispersion modeling -
Kingston upon Hull - HNO3 air quality dispersion modeling - volatile organic compounds air quality modeling - emissions and environmental degradation -
Lancaster - atmospheric environment report - about air pollution - bay area air quality -
Leeds - sources of air pollution - south coast air quality management district - air pollution effects -
Leicester - south coast air quality - air quality management district - air pollution causes -
Lichfield - reduce air pollution - epa air quality - south coast air quality management -
Lincoln - air pollution pictures - home air quality - air pollution statistics -
Aberdeen - indoor air pollution - effects of air pollution - causes of air pollution -
Armagh - what is air pollution - air quality services - air and water pollution - air pollution facts -
Bangor - indoor air quality testing - air quality test - air pollution - air pollution control -
Santa Cruz de la Sierra: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants -
La Paz: HNO3 air quality calculation in plants - NOx air pollutants modeling in roads - SO2 air quality simulation -
El Alto: NH3 air quality simulation - VOC air quality calculation - NOx air pollutants modeling in roads -
Cochabamba: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants
Sucre: SO2 air pollutants modeling in roads - VOC air quality calculation - CH4 air quality simulation
Oruro: NH3 air quality simulation - VOC air quality calculation - NOx air pollutants modeling in roads
Tarija: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants -
Quillacollo: HNO3 air quality calculation in plants - NOx air pollutants modeling in roads - SO2 air quality simulation
Sacaba: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants -
Potosí: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants
Montero: SO2 air pollutants modeling in roads - VOC air quality calculation - CH4 air quality simulation
Trinidad: HNO3 air quality calculation in plants - NOx air pollutants modeling in roads - SO2 air quality simulation
Yacuíba: VOC air quality calculation in plants - CH4 air pollutants modeling - SO2 air quality simulation -
Riberalta: NH3 air quality simulation - VOC air quality calculation - NOx air pollutants modeling in roads
Tiquipaya: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants
Guayaramerín: SO2 air pollutants modeling in roads - VOC air quality calculation - CH4 air quality simulation
Viacha: HNO3 air quality calculation in plants - NOx air pollutants modeling in roads - SO2 air quality simulation
Llallagua: VOC air quality calculation in plants - CH4 air pollutants modeling - NOx air pollutants modeling in roads
Villazón: VOC air quality calculation in plants - CH4 air pollutants modeling - SO2 air quality simulation -
Bermejo: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants -
Cobija: SO2 air pollutants modeling in roads - VOC air quality calculation - CH4 air quality simulation
San Ignacio de Velasco: VOC air quality calculation in plants - CH4 air pollutants modeling - NOx air pollutants modeling in roads
Tupiza: NH3 air quality simulation - VOC air quality calculation - NOx air pollutants modeling in roads -
Cotoca: VOC air quality calculation in plants - CH4 air pollutants modeling - NOx air pollutants modeling in roads
San Borja: NOx air pollutants modeling near hospitals - SO2 air quality simulation - NH3 air quality calculation in plants -
Villamontes: HNO3 air quality calculation in plants - NOx air pollutants modeling in roads - SO2 air quality simulation -
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.