4.7 Article

Trends in ozone concentrations in the Iberian Peninsula by quantile regression and clustering

Journal

ATMOSPHERIC ENVIRONMENT
Volume 56, Issue -, Pages 184-193

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2012.03.069

Keywords

Iberian Peninsula; Tropospheric ozone; Spatial and temporal analysis; Quantile regression; Cluster analysis; Ozone trend

Funding

  1. Portuguese 'Ministerio da Ciencia, da Tecnologia e do Ensino Superior' [PTDC/AAC-AMB/103866/2008, SFRH/BD/60370/2009, SFRH/BPD/63796/2009]
  2. Spanish Ministry of Science and Innovation [CGL2006-08903]
  3. CRUP
  4. Fundação para a Ciência e a Tecnologia [SFRH/BD/60370/2009, PTDC/AAC-AMB/103866/2008] Funding Source: FCT

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In this paper, 10-years of ozone (O-3) hourly concentrations collected over the period 2000-2009 in the Iberian Peninsula (IP) are analyzed using records from 11 background sites. All the selected monitoring stations present an acquisition efficiency above 85%. The changes in surface ozone over the Iberian Peninsula are examined by means of quantile regression, which allows to analyse the trends not only in the mean but in the overall data distribution. In addition, the ozone hourly concentrations records are clustered on the basis of their resulting distributions. The analysis showed that high altitude stations (>900 m) have higher background O-3 concentrations (similar to 80 mu g m(-3)). The same magnitude of background O-3 concentrations is found in stations near the Mediterranean Sea. On the other hand, the rural stations near the Atlantic coast present lower background values (similar to 50-60 mu g m(-3)) than those of Mediterranean influence. The two sub-urban stations exhibit the lowest background concentrations (similar to 45 mu g m(-3)). The results of the quantile regression show a very distinct behaviour of the data distribution, the slopes for a fixed quantile are not the same over IP, reflecting the spatial dependence of O-3 trends. Hence the rate of temporal change is not the same for all parts of the data distribution, as implicitly assumed in ordinary regression. The lower quantile (percentile 5) presents higher rates of change than the middle (percentile 50) and the upper quantile (percentile 95). The clustering procedure reveals what has been already detected in the quantile regression. The station with highest rates of decrease on the O-3 concentrations (easternmost station of IP) is isolated and then other clusters are formed among the moderately positive/negative O-3 trends around the IP. The clustering procedure highlighted that the largest trends are found for the lower ozone O-3 values, with largest negative trend at the easternmost station of IP, and also in northern and mainland stations, and an opposite behaviour, with positive O-3 trends, is observed at the Atlantic coast stations. (C) 2012 Elsevier Ltd. All rights reserved.

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