estimates of the organic aerosol volatility in a boreal forest using two independent methods
Clicks: 162
ID: 199269
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
162 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #370 of 850 articles by views in Journal of agricultural and food chemistry
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 850 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The volatility distribution of secondary organic aerosols that formed and
had undergone aging – i.e., the particle mass fractions of semi-volatile,
low-volatility and extremely low volatility organic compounds in the
particle phase – was characterized in a boreal forest environment of
Hyytiälä, southern Finland. This was done by interpreting field
measurements using a volatility tandem differential mobility analyzer
(VTDMA) with a kinetic evaporation model. The field measurements were
performed during April and May 2014. On average, 40 % of the organics in
particles were semi-volatile, 34 % were low-volatility organics and
26 % were extremely low volatility organics. The model was, however, very sensitive
to the vaporization enthalpies assumed for the organics (ΔHVAP). The best agreement between the observed and modeled
temperature dependence of the evaporation was obtained when effective
vaporization enthalpy values of 80 kJ mol−1 were assumed. There are several potential reasons for the low effective
enthalpy value, including
molecular decomposition or dissociation that might occur in the particle
phase upon heating, mixture effects and compound-dependent uncertainties in
the mass accommodation coefficient. In addition to the VTDMA-based analysis,
semi-volatile and low-volatility organic mass fractions were independently
determined by applying positive matrix factorization (PMF) to
high-resolution aerosol mass spectrometer (HR-AMS) data. The factor
separation was based on the oxygenation levels of organics, specifically the
relative abundance of mass ions at m∕z 43 (f43) and m∕z 44 (f44). The mass fractions of
these two organic groups were compared against the VTDMA-based results. In
general, the best agreement between the VTDMA results and the PMF-derived
mass fractions of organics was obtained when ΔHVAP = 80 kJ mol−1 was set for all organic groups in the model, with a linear
correlation coefficient of around 0.4. However, this still indicates that
only about 16 % (R2) of the variation can be explained by the linear
regression between the results from these two methods. The prospect of
determining of extremely low volatility organic aerosols (ELVOAs) from AMS data
using the PMF analysis should be assessed in future studies.
| Reference Key |
hong2017atmosphericestimates
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;J. Hong;M. Äijälä;S. A. K. Häme;L. Hao;J. Duplissy;L. M. Heikkinen;W. Nie;J. Mikkilä;M. Kulmala;N. L. Prisle;A. Virtanen;M. Ehn;P. Paasonen;D. R. Worsnop;I. Riipinen;T. Petäjä;V.-M. Kerminen |
| Journal | Journal of agricultural and food chemistry |
| Year | 2017 |
| DOI |
10.5194/acp-17-4387-2017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.