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AIR POLLUTION – MONITORING MODELLING AND HEALTH

air pollution – monitoring, modelling and health - Ademloos

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Air Pollution in Mega Cities: A Case Study of Istanbul 101<br />

Fig. 10. Temporal variation of annual average PM 10 , SO 2 and NO 2 concentrations (µg/m3) in<br />

Istanbul.<br />

In a recent study, Unal et al., (2011) assessed the PM 10 data in ten monitoring stations<br />

considering the EU PM 10 standards, and to identify air-monitoring sites with similar<br />

pollutant behavior characteristics by means of hierarchical cluster analysis and to explore<br />

possible pollutant sources in such clusters. PM 10 concentration averages over the monitoring<br />

sites under the influence of urban traffic and residential heating greatly exceeded the EU’s<br />

daily ambient air quality standard. As an example, PM 10 data for the monitoring stations of<br />

the metropolitan air quality monitoring network show that about 32% of the total days in 6<br />

years (2005-2010) daily PM 10 concentrations exceed the limit value of 50 µg/m3 within the<br />

city. Istanbul yields an urban average PM 10 of 58 µg/m3. The monthly means for all stations<br />

vary in between 32-68 µg/m3 in summer and 43-87 µg/m3 in winter. Unal et al., (2011)<br />

indicated that Kartal (Asian site) Esenler and Alibeykoy (European sites) (Fig.4), where<br />

urban areas with high traffic and industrial activity, were seriously polluted by PM 10 . Many<br />

people who live in the Kartal region might be exposed to a much higher PM 10 level than the<br />

rest of the population. Topography or the barriers in the city environment of the Kartal<br />

might support the accumulation of the concentrations. These results indicate that higher the<br />

PM 10 concentration, the greater the risk of premature mortality from heart and lung disease<br />

to the residents living in these locations. Celebi et al. (2010) found similar PM 10 results for<br />

these locations (Fig.11).

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