Back to Search
Start Over
Development of drone-based filter sampling system for carbonaceous aerosol analysis using thermal–optical transmittance method.
- Source :
-
Aerosol Science & Technology . 2023, Vol. 57 Issue 9, p861-871. 11p. - Publication Year :
- 2023
-
Abstract
- Application of a drone-based, high-volume (38 L min−1) sampling system developed for time-resolved monitoring of elemental and organic carbon (EC and OC) is demonstrated in this study. Filter samples collected by the samplers were analyzed by a laboratory-based, thermal-optical transmittance (TOT) method of the National Institute for Occupational Safety and Health using a Sunset Laboratory OC-EC analyzer. The EC, OC, and total carbon (TC) results for filter samples collected by the high-volume (38 L min−1) sampler are compared to those obtained by a low-volume (4 L min−1) sampler at ground level. Prior to the use of the developed high-volume sampler at 150 m, three 30-min air samples, taken from 11:00 to 15:00, and three 1-h samples, taken between 15:00 and 22:00, were collected at ground level by the drone-based system. For reference, the low-volume filter sample was collected over the 12-h period on the same day. In addition, particulate matter and black carbon concentrations were obtained as supportive data. In the ground-level test, the average EC, OC, and TC concentrations determined with the high-volume (drone) samples agree well with those determined with the 12-h, integrated, low-volume sample. Further field samplings on the ground and at 150-m were conducted over 2 days to assess the developed drone-based sampling system for measurement of carbonaceous aerosols. The EC, OC, and TC concentrations at a 150-m altitude were successfully examined via drone-based, high-volume sampling and TOT analysis. Copyright © 2023 American Association for Aerosol Research [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02786826
- Volume :
- 57
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Aerosol Science & Technology
- Publication Type :
- Academic Journal
- Accession number :
- 169784975
- Full Text :
- https://doi.org/10.1080/02786826.2023.2236679