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Modernisation-improvement of implementation and extension of the atmospheric pollution ground-based monitoring network

Ziel

The application of the new method of analysis of high spatial resolution satellite images will provide valuable information concerning:
1) the spatial distribution of pollution in relation to actual meterological conditions;
2) its diachronical evolution and;
3) its seasonal fluctuations.
These will constitute the basic information which will be analysed with the aim of a proposition of modernization, rational extension and optimum improvement of the current network for the monitoring of the atmospheric pollution.

Airborne pollutants in the Greater Athens area are monitored by the ground based network stations of PERPA. These stations are physicochemical methods and thus provide accurate but yet isolated point measurements. Increasing the number of the stations with the purpose of a complete area coverage is inexpedient, there is hence a need for a complementary means which would offer homogenous information on the spatial distribution of pollutants. A tool is therefore required which would serve as a guide and indicate the optimal siting of the monitoring stations. Such a tool should provide us with an initial overall view for the air pollution phenomenon.
During the proposed project, such a mapping will be performed by the combined use of spaceborne remote sensing techniques and information from the already existing grounds based measurements.
The anlaysis of high spatial resolution satellite images (SPOT and Landsat) according to the methodology proposed by Sifakis and Deschamps (1992) and Sifakis (1992), will lead to the plotting of maps presenting the aerosol horizontal distribution on specific dates.
In particular, the intepretation of the maps will be accompanied by the space-time series analysis of the measurements carried out by the PERPA ground based monitoring stations (Lambiris et al, 1991). In parallel, we will proceed to the simulation of the horizontal distribution of pollutants concentrations in the greater Athens area by means of dispersion and transport models. The simulation process will be compared with the results of the satellite images processing, particularly in the regions where no ground based measurements are available. In this way, satellite derived static information will complement the dynamic one of the pollutants concentration variation estimated by the simulation model.

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Koordinator

University of Athens
EU-Beitrag
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Adresse
Ippokratous 33
10630 ATHENS
Griechenland

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