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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-24 9:56 |
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Conference: Bucharest University Faculty of Physics 2011 Meeting
Section: Atmosphere and Earth Science; Environment Protection
Title:
Estimating ground-level ozone concentration using satellite data
Authors:
Georgiana Grigoras (1,2),Sabina Stefan (1), C. Rada (3)
Affiliation:
(1)University of Bucharest – Faculty of Physics, P.O.Box MG-11, Bucharest
(2)National Institute for Research and Development in Environment Protection, Bucharest, Romania
(3)National Meteorological Administration, Bucharest, Romania
E-mail
grigoras.georgiana@gmail.com,
sabina_stefan@yahoo.com,
costel.rada@meteoromania.ro
Keywords:
MODIS, air quality, pollution, ozone
Abstract:
Air quality management requires an extremely accurate assessment of pollutants existing in the atmosphere in order to take informed decisions regarding the measures needed for reducing emissions and improving air quality. In order to assess there are used air quality data measured by the National Network of Air Quality Monitoring (RNMCA) and data provided by atmospheric dispersion models. Air quality monitoring stations require large maintenance costs and their representation does not cover the entire area of the country. On the other hand, to obtain relevant results from dispersion models involve a good knowledge of many variables such as emission intensity and duration of emissions, pollutant chemical reactions, the uptake and assimilation of pollutants by vegetation, the meteorological factors that lead to chemical reactions and the dispersion in the atmosphere. Using satellite data along with ground-level observations may develop a cost-effective and accurate pollution monitoring system as an alternative to the existing one. In this context, the aim of the paper is to estimate the concentration of pollutants at ground level, using advanced data products created by NASA scientists on the basis of satellite imagery from MODIS spectroradiometer. The ozone concentration at surface was estimated from satellite data by using a fitting function of specific monthly climate Bucharest Baneasa location. The comparison of estimated values with those recorded at ground level have shown a good estimation.
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