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Characterisation of the filter inlet system on the FAAM BAe-146 research aircraft and its use for size-resolved aerosol composition measurements
- Source :
- Atmospheric Measurement Techniques, Vol 12, Pp 5741-5763 (2019)
- Publication Year :
- 2019
- Publisher :
- Copernicus GmbH, 2019.
-
Abstract
- Atmospheric aerosol particles are important for our planet's climate because they interact with radiation and clouds. Hence, having characterised methods to collect aerosol from aircraft for detailed offline analysis are valuable. However, collecting aerosol, particularly coarse-mode aerosol, onto substrates from a fast-moving aircraft is challenging and can result in both losses and enhancement in particles. Here we present the characterisation of an inlet system designed for collection of aerosol onto filters on board the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146-301 Atmospheric Research Aircraft. We also present an offline scanning electron microscopy (SEM) technique for quantifying both the size distribution and size-resolved composition of the collected aerosol. We use this SEM technique in parallel with online underwing optical probes in order to experimentally characterise the efficiency of the inlet system. We find that the coarse-mode aerosol is sub-isokinetically enhanced, with a peak enhancement at around 10 µm up to a factor of 2 under recommended operating conditions. Calculations show that the efficiency of collection then decreases rapidly at larger sizes. In order to minimise the isokinetic enhancement of coarse-mode aerosol, we recommend sampling with total flow rates above 50 L min−1; operating the inlet with the bypass fully open helps achieve this by increasing the flow rate through the inlet nozzle. With the inlet characterised, we also present single-particle chemical information obtained from X-ray spectroscopy analysis, which allows us to group the particles into composition categories.
- Subjects :
- Atmospheric Science
geography
geography.geographical_feature_category
010504 meteorology & atmospheric sciences
lcsh:TA715-787
lcsh:Earthwork. Foundations
Nozzle
Sampling (statistics)
010501 environmental sciences
Radiation
Inlet
01 natural sciences
lcsh:Environmental engineering
Aerosol
Volumetric flow rate
Filter (large eddy simulation)
Environmental science
lcsh:TA170-171
Spectroscopy
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 18678548 and 18671381
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Atmospheric Measurement Techniques
- Accession number :
- edsair.doi.dedup.....44f5c41578865b66096a5aee0a5600ab
- Full Text :
- https://doi.org/10.5194/amt-12-5741-2019