The use of trajectory cluster analysis to examine the long-range transport of secondary inorganic aerosol in the UK

TY - JOUR

T1 - The use of trajectory cluster analysis to examine the long-range transport of secondary inorganic aerosol in the UK

AU - Mogith, Salah

AU - Harrison, Roy

PY - 2005/11/1

Y1 - 2005/11/1

N2 - The influence of synoptic-scale atmospheric transport patterns on observed levels of sulphate, nitrate and PM10 at Belfast (urban) and Harwell (rural) has been examined. Three-day 6-hourly back trajectories for January 2002 to December 2003, arriving at the two sampling locations at 1200 GMT and 900 hPa were calculated. A K-means clustering algorithm is used to group these trajectories into 10 clusters depending on their direction and speed. Nonparametric statistics were used to test for significant differences in mean aerosol concentration across clusters. Significant inter-cluster differences were observed with highest nitrate and sulphate levels associated with south-easterly and easterly trajectory clusters at Belfast and Harwell respectively, and highest chloride concentrations associated with fast moving maritime trajectory categories at both sites. Easterly trajectory clusters show lower sulphate/nitrate ratios compared to other clusters, especially for air travelling from the near continent. Nitrate shows greater episodicity than 3 sulphate with implications for achievement of the daily PM10 limit value of 50 mu g m(-3). Our trajectory analysis suggests that control of NOx emissions from the UK and adjacent continental European countries has a major role to play in achieving compliance with the current PM10 limit value. (c) 2005 Elsevier Ltd. All rights reserved.

AB - The influence of synoptic-scale atmospheric transport patterns on observed levels of sulphate, nitrate and PM10 at Belfast (urban) and Harwell (rural) has been examined. Three-day 6-hourly back trajectories for January 2002 to December 2003, arriving at the two sampling locations at 1200 GMT and 900 hPa were calculated. A K-means clustering algorithm is used to group these trajectories into 10 clusters depending on their direction and speed. Nonparametric statistics were used to test for significant differences in mean aerosol concentration across clusters. Significant inter-cluster differences were observed with highest nitrate and sulphate levels associated with south-easterly and easterly trajectory clusters at Belfast and Harwell respectively, and highest chloride concentrations associated with fast moving maritime trajectory categories at both sites. Easterly trajectory clusters show lower sulphate/nitrate ratios compared to other clusters, especially for air travelling from the near continent. Nitrate shows greater episodicity than 3 sulphate with implications for achievement of the daily PM10 limit value of 50 mu g m(-3). Our trajectory analysis suggests that control of NOx emissions from the UK and adjacent continental European countries has a major role to play in achieving compliance with the current PM10 limit value. (c) 2005 Elsevier Ltd. All rights reserved.

KW - sulphate

KW - back trajectory

KW - chloride

KW - nitrate

KW - clustering

UR - http://www.scopus.com/inward/record.url?scp=26444579871&partnerID=8YFLogxK

U2 - 10.1016/j.atmosenv.2005.07.059

DO - 10.1016/j.atmosenv.2005.07.059

M3 - Article

VL - 39

SP - 6686

EP - 6695

JO - Atmospheric Environment

JF - Atmospheric Environment

SN - 1352-2310

ER -