A methodology to relate black carbon particle number and mass emissions
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 12 - Engineering
- Output identifier
- 310
- Type
- D - Journal article
- DOI
-
10.1016/j.jaerosci.2019.03.006
- Title of journal
- Journal of Aerosol Science
- Article number
- -
- First page
- 44
- Volume
- 132
- Issue
- 1
- ISSN
- 0021-8502
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
10.1016/j.jaerosci.2019.03.006
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We present a new model to describe the relationship between the mass and number of fractal aggregate nanoparticles, generalisable to diverse applications including combustion and aircraft emissions; applied by others to surgical devices (https://www.sciencedirect.com/science/article/pii/S002185022030001X) and sensors (https://www.sciencedirect.com/science/article/pii/S0021850219305415). The model has been used to quantify aircraft particle emissions in a high-impact study on aviation contrails (https://pubs.acs.org/doi/abs/10.1021/acs.est.9b05608). Provided critical input into EPSRC Centre for Doctoral Training in Aerosol Science (EP/S023593/1, 2019-2027, £6.8m) and used in its training modules (CAS 1.8, https://www.aerosol-cdt.ac.uk/training/) taken by >80 PhD students.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -