Air Quality Modelling with OPS (The Operational Priority Substances Model)

Öz

Modelling atmospheric processes has been the subject of many studies. The models used to determine the distribution of air pollutants in the atmosphere are indispensable for providing the desired level of air pollution in the region. It is possible to control air pollution with the different alternatives to keep under the limit of standards, to develop scenarios and recommendations in air quality management studies using these models. In this study, different program types such as Meteo Pre-Proccessor, ArcGIS and EMEP required for the OPS were examined. In this study, OPS modeling Programme which is using for estimating for a future air pollution level and usability in our country was also investigated.

Anahtar Kelimeler

• OPS,EMEP,ArcGIS,air pollution

Öncelikli Maddeler için Operasyonel Model (OPS) ile Hava Kalitesi Modellemesi

Öz

Modelling atmospheric processes has been the subject of many studies. The models used to determine the distribution of air pollutants in the atmosphere are indispensable for providing the desired level of air pollution in the region. It is possible to control air pollution with the different alternatives to keep under the limit of standards, to develop scenarios and recommendations in air quality management studies using these models. In this study, different program types such as Meteo Pre-Proccessor, ArcGIS and EMEP required for the OPS were examined. In this study, OPS modeling Programme which is using for estimating for a future air pollution level and usability in our country was also investigated.

Anahtar Kelimeler

• OPS,EMEP,ArcGIS,hava kirliliği

Kaynakça

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6. [6]Tarrason, L. Jonson, J.E.`Transboundry Acidification, Eutrophication and Groung Level Ozone in Europe`, Norwegian Meteorological Institute Publisher,Trondheim,2003.
7. [7] http://www.itm.su.se/reflab/dokument/EMEP_Manual.pdf
8. [8] http://ikonair.org/

9. [9]Hill J., Donaldson, I., Harrison, D., An valuation of AERMOD Model Sensitivity to Variations in Landuse Characteristics, 2009.
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