4.5 Article

Spatial concentration distributions of sulfur dioxide and nitrogen oxides in Patras, Greece, in a winter period

Journal

ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 135, Issue 1-3, Pages 163-180

Publisher

SPRINGER
DOI: 10.1007/s10661-007-9641-2

Keywords

air pollution; bag sampling technique; monitoring management; nitrogen oxides correlations to traffic; sulfur dioxide correlation to traffic; temporal and spatial averaging; urban development

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An economic and quick methodology for performing a preliminary spatial assessment of a city air quality with the purpose to identify locations and zones susceptible to high pollution levels is proposed. A Patras case-study is selected, regarding the air pollutants of sulfur dioxide (SO2) and oxides of nitrogen (NOx). A total number of 451 samples of short duration, of which 225 were randomly picked in morning rush hours and 226 within evening rush hours, were collected from 50 locations of the major Patras area during a year period, when peaks of primary air pollutants usually occur. Concentration measurements at prescribed locations used to statistically calculate spatial average concentrations approximating 1-h mean values with mean probable errors less than 25.9% for SO2, NO and NOx and less than 15.5% for NO2. Then iso-concentration contour diagrams plotted indicate high pollution zones and possibly appropriate locations for continuous or random monitoring according to the European Community (EC) Directives. The 1-h mean concentrations were in good correlation to the corresponding traffic rates and useful relationships are given (0.54 <= r <= 0.63). In addition, comparisons with data available for other cities, as well as with the limit and guide values provided by the EC and the World Health Organization (WHO) were given. The present data could be useful for the design and optimization of a city network of stations for monitoring air quality, for environmental impact assessments, future reference and comparisons due to city development needs, as well as for validating dispersion models.

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