 |
| Titel |
Cluster analysis of WIBS single-particle bioaerosol data |
| VerfasserIn |
N. H. Robinson, J. D. Allan, J. A. Huffman, P. H. Kaye, V. E. Foot, M. Gallagher |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1867-1381
|
| Digitales Dokument |
URL |
| Erschienen |
In: Atmospheric Measurement Techniques ; 6, no. 2 ; Nr. 6, no. 2 (2013-02-13), S.337-347 |
| Datensatznummer |
250017393
|
| Publikation (Nr.) |
 copernicus.org/amt-6-337-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Hierarchical agglomerative cluster analysis was performed on
single-particle multi-spatial data sets comprising optical diameter,
asymmetry and three different fluorescence measurements, gathered
using two dual Wideband Integrated Bioaerosol Sensors (WIBSs). The
technique is demonstrated on measurements of various fluorescent and
non-fluorescent polystyrene latex spheres (PSL) before being applied
to two separate contemporaneous ambient WIBS data sets recorded in
a forest site in Colorado, USA, as part of the BEACHON-RoMBAS
project. Cluster analysis results between both data sets are
consistent. Clusters are tentatively interpreted by comparison of
concentration time series and cluster average measurement values to
the published literature (of which there is a paucity) to represent the following:
non-fluorescent accumulation mode aerosol; bacterial agglomerates;
and fungal spores. To our knowledge, this is the first time cluster
analysis has been applied to long-term online primary biological aerosol particle (PBAP) measurements. The
novel application of this clustering technique provides a means for
routinely reducing WIBS data to discrete concentration time series
which are more easily interpretable, without the need for any
a priori assumptions concerning the expected aerosol types. It can
reduce the level of subjectivity compared to the more standard
analysis approaches, which are typically performed by simple
inspection of various ensemble data products. It also has the
advantage of potentially resolving less populous or subtly different
particle types. This technique is likely to become more robust in
the future as fluorescence-based aerosol instrumentation measurement
precision, dynamic range and the number of available metrics are
improved. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|