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The Use of Trajectory Cluster Analysis to Evaluate the Long-Range Transport of Black Carbon Aerosol in the South-Eastern Baltic Region
Author(s) -
Steigvilë Byčenkienė,
Vadimas Dudoitis,
Vidmantas Ulevičius
Publication year - 2014
Publication title -
advances in meteorology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 32
eISSN - 1687-9317
pISSN - 1687-9309
DOI - 10.1155/2014/137694
Subject(s) - aerosol , advection , cluster (spacecraft) , air mass (solar energy) , carbon black , trajectory , geography , environmental science , baltic sea , atmospheric sciences , carbon fibers , mass concentration (chemistry) , range (aeronautics) , climatology , meteorology , physical geography , oceanography , physics , chemistry , geology , mathematics , statistics , materials science , algorithm , composite number , computer science , composite material , representativeness heuristic , natural rubber , thermodynamics , programming language , organic chemistry , astronomy
Trajectory cluster analysis and source-receptor models (the potential source contribution function (PSCF), concentration weighted trajectories (CWT), and trajectory source apportionment (TSA)) were applied to investigate the source-receptor relationship for the aerosol black carbon (BC) measured at the coastal site (Preila, 55.55°N, 21.04°E) during 2013. The main sources and paths of advection to the south-eastern Baltic region and its relation to black carbon concentration were identified. The 72 h backward trajectories of air masses arriving at Preila from January to December 2013 were determined and were categorized by clustering them into six clusters. Subsequently, BC levels at Preila associated with each air mass cluster during this period were analyzed. The PSCF and CWT analysis shows that, on high BC concentration days, the air masses commonly originated and passed over southern regions of Europe before arriving at Preila in winter, while a strong impact of wildfires was observed in spring

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