Nowadays it is necessary to use air pollution dispersion models to perform environmental impact studies and obtain environmental licenses. Meteosim provides all meteorological data required by the air pollution dispersion models. These data are obtained from meteorological simulations using mesoscale models (as for example MM5) and observations. In the same way, Meteosim can also take charge of running the air dispersion models (AERMOD, CALPUFF).
Simulation of long time periods in a few weeks.
The user doesn't need to worry about format conversions.
Meteosim provides all data (MM5, SAMSON, TD6200, etc.) requiered by the air dispersion models.
Meteosim can provide meteorological data as well as execute the air pollutant dispersion model simulations.
Air pollutant dispersion models play an important role in the evaluation and forecast of the impact caused by the industrial activity, road traffic, forest fires, or any other situation in which pollutant particles are emitted to the atmosphere. Taking pollutant measurements in specific locations may not be representative of the actual situation, and modeling is needed. Then, in order to obtain a more complete and accurate picture it is necessary to use models.
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Meteosim provides meteorological data for the most used air pollutant dispersion models: ISCT3, AERMOD, CALPUFF. These data meet the format requirements of ISCT3, AERMOD or CALPUFF, so the user has not to worry about any kind of format conversion. We can also provide land use and terrain files for the interest area. Having the coordinates and area dimensions, the facitily details and the emissions rates, Meteosim also carries out the air dispersion modeling for a certain period of time as well as sets up operational simulations in forecast mode.
An example of CALPUFF simulations in forecast mode can be found here:CALPUFF forecast maps
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In case it is required, Meteosim can also deal with the setting up of meteorological towers, as well as the data downloading and processing. The data will be processed to be ingested by the air pollution dispersion models.
