Environmental Monitoring and Assessment

, Volume 165, Issue 1–4, pp 577–583

Photochemical pollution indicators—an analysis of 12 European monitoring stations

  • E. Kovač-Andrić
  • G. Šorgo
  • N. Kezele
  • T. Cvitaš
  • L. Klasinc
Article

DOI: 10.1007/s10661-009-0969-7

Cite this article as:
Kovač-Andrić, E., Šorgo, G., Kezele, N. et al. Environ Monit Assess (2010) 165: 577. doi:10.1007/s10661-009-0969-7

Abstract

Indicators were devised to classify air pollution monitoring sites according to the type of expected photochemical pollution. The indicators are based on measured ozone volume fractions, the most frequently monitored component of photochemical pollution, and in particular on two contributions: one due to the ratio of daily maximum-to-minimum ozone volume fractions and the other to observed peak values. The two contributions regarded as independent are logically connected by “and” and therefore mathematically combined by multiplication. The criterion of classification is mainly described by the mentioned ratio and incidences of ozone volume fractions exceeding the limit of 80 ppb. Twelve monitoring stations within the European network (Cooperative programme for monitoring and evaluation of long-range transmission of air pollutants in Europe, EMEP) were classified according to this indicator predicting what ozone levels can be expected at the particular sites during the growth season (April through September) into three groups: clean, medium, and polluted, based on the data for the 7 years (1997 to 2003).

Keywords

Tropospheric ozone Photochemical pollution Air pollution indicator Monitoring EMEP 

Copyright information

© Springer Science+Business Media B.V. 2009

Authors and Affiliations

  • E. Kovač-Andrić
    • 1
  • G. Šorgo
    • 2
  • N. Kezele
    • 2
  • T. Cvitaš
    • 2
    • 3
  • L. Klasinc
    • 2
  1. 1.Department of ChemistryJ. J. Strossmayer University of OsijekOsijekCroatia
  2. 2.Ruđer Bošković InstituteZagrebCroatia
  3. 3.Department of ChemistryUniversity of ZagrebZagrebCroatia

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