Title: Can BSNE (Big Spring Number Eight) samplers be used to measure PM10, respirable dust, PM2.5 and PM1.0?
Authors: Goossens, Dirk ×
Buck, Brenda J. #
Issue Date: 2012
Publisher: Elsevier Ltd
Series Title: Aeolian Research vol:5 pages:43-49
Abstract: Wind tunnel and field measurements were conducted to evaluate whether the Big Spring Number Eight (BSNE) sampler can be used to measure ambient concentrations of PM10 (particles less that 10 lm), respirable dust (particles less than 4 lm or PM4), PM2.5 (particles less than 2.5 lm) and PM1.0 (particles less than 1 lm). The BSNE was tested against the DustTrak Aerosol Monitor and relationships with
several other active automated samplers were investigated. Concentrations obtained from BSNE and DustTrak samplers tend to be comparable (less than 50% difference) within the wind speed interval 2–7 m s1 (PM10) or 2–9 m s1 (PM4, PM2.5, PM1.0) provided appropriate corrections are made for sampler efficiency, cut-off percentage and data transfer from mass to volume (or reverse). For wind speeds <2 m s-1 the DustTrak significantly underestimates the concentration compared to the BSNE. No data were available from this study for wind speeds >10 m s1. Field measurements confirmed the wind tunnel data, but only for PM10. No field information was available for PM4, PM2.5 and PM1.0. Comparisons with data from the literature suggest that the BSNE behaves similar to several active automated gravimetric
samplers, at least for PM10 and within the wind speed interval 1–5 m s1. No data were available to confirm this conclusion for higher wind speeds or other size fractions.
ISSN: 1875-9637
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division of Geography & Tourism
× corresponding author
# (joint) last author

Files in This Item:
File Description Status SizeFormat
Can BSNE (Big Spring Number Eight) samplers be used.pdf Published 389KbAdobe PDFView/Open Request a copy

These files are only available to some KU Leuven Association staff members


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science