The intercomparison ofsimulated and measured data emphasized that satellite data can be used for assessment of air quality.
📌 3 Key Takeaways
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Objective & Hypothesis:The aim of the paper is to assess the spatial distribution of surface-ozone concentrations for Bucharesturban agglomeration by running OML (“Operationelle Meteorologiske Luftkvalitetsmodeller” e OperationalMeteorological Air Quality Model) dispersion model.
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Key Findings & Data:Two data sets from 2009 were used toinitialize the model for: (i) air quality data base of the National Network of Air Quality Monitoring(NNAQM); (ii) satellite data obtained from OMI (Ozone Monitoring Instrument) on board of AURAsatellite.
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Conclusion & Impact:The intercomparison ofsimulated and measured data emphasized that satellite data can be used for assessment of air quality.
🔬Design:Modeling & Simulation
📍Scope:2009 Verileri
⚙️Variables:Domain Parameters
Özet
The aim of the paper is to assess the spatial distribution of surface-ozone concentrations for Bucharesturban agglomeration by running OML (“Operationelle Meteorologiske Luftkvalitetsmodeller” e OperationalMeteorological Air Quality Model) dispersion model. Two data sets from 2009 were used toinitialize the model for: (i) air quality data base of the National Network of Air Quality Monitoring(NNAQM); (ii) satellite data obtained from OMI (Ozone Monitoring Instrument) on board of AURAsatellite. The potential of satellite data used in air quality assessment in lower troposphere, at local scalewas also tested by comparison to data from air-quality monitoring stations. The intercomparison ofsimulated and measured data emphasized that satellite data can be used for assessment of air quality.
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Cite This Article
GRİGORAŞ, G., ŞTEFAN, S., RADA, C., GRİGORAŞ, C. (2016). Assessing of surface-ozone concentration in Bucharest, Romania, using OML and satellite data. Atmospheric Pollution Research, Cilt: 7 - Sayı: 4, 567–576. https://ajindex.com/articles/351501
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