University of Worcester Worcester Research and Publications
 
  USER PANEL:
  ABOUT THE COLLECTION:
  CONTACT DETAILS:

Examining High Magnitude Grass Pollen Episodes at Worcester, United Kingdom, Using Back-Trajectory Analysis

Smith, Matthew and Emberlin, Jean and Kress, A. (2005) Examining High Magnitude Grass Pollen Episodes at Worcester, United Kingdom, Using Back-Trajectory Analysis. Aerobiologia, 21 (2). pp. 85-94. ISSN 0393-5965 (Print) 1573-3025 (Online)

Full text not available from this repository.

Abstract

Trajectory analysis is a valuable tool that has been used before in aerobiological studies, to investigate the movement of airborne pollen. This study has employed back-trajectories to examine the four highest grass pollen episodes at Worcester, during the 2001 grass pollen season. The results have shown that the highest grass pollen counts of the 2001 season were reached when air masses arrived from a westerly direction. Back-trajectory analysis has a limited value to forecasters because the method is retrospective and cannot be employed directly for forecasting. However, when used in conjunction with meteorological data this technique can be used to examine high magnitude events in order to identify conditions that lead to high pollen counts.

Item Type: Article
Additional Information:

The original publication is available at www.springerlink.com

Uncontrolled Keywords: aerobiology, back-trajectory analysis, grass pollen counts, meteorological conditions, Worcester, NPARU
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
Q Science > QR Microbiology > QR180 Immunology
Divisions: Research Centres > National Pollen and Aerobiology Research Unit
Related URLs:
Depositing User: Matthew Smith
Date Deposited: 12 Jul 2007 14:55
Last Modified: 21 May 2013 16:14
URI: https://eprints.worc.ac.uk/id/eprint/104

Actions (login required)

View Item View Item
 
     
Worcester Research and Publications is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.