Trajectory clustering for long range transport of aerosols in Northwestern Turkey


Genç Tokgöz D. D., Tuncel G.

Global Conference on Global Warming 2009, İstanbul, Turkey, 5 - 09 July 2009, pp.1154-1161

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.1154-1161
  • Hacettepe University Affiliated: No

Abstract

ABSTRACT
In this study, the effect of different upper atmospheric transport patterns on chemical composition of
aerosols at Northwestern Turkey was investigated. Synoptic scale atmospheric transport patterns in
Northwestern Turkey were identified. The NOAA-HYSPLIT4 (Single Particle Langrangian Integrated
Trajectory Model Version 4) was employed to compute 5-days back trajectories. REANALYSIS
meteorological data sets of resolution 2.5° x 2.5° were used as input. Back trajectories were calculated on a
daily basis at 100, 500 and 1500 m in the years 2006 and 2007. A non-hierarchical k-means clustering
algorithm was applied for classification of trajectories for 1500 m above ground level arrival height into
groups of similar curvature, length and direction. Finally trajectories were classified into 6 clusters. Chemical
composition of atmospheric particles associated with each of these trajectory clusters were compared.
Samples were collected at a permanent station located at the Turkish-Bulgarian Border. Significant
differences in aerosol composition across clusters were found when Kruskal Wallis test was applied.