a new oxidation flow reactor for measuring secondary aerosol formation of rapidly changing emission sources
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2017
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Abstract
Oxidation flow reactors (OFRs)
or environmental chambers can be used to estimate
secondary aerosol formation potential of different emission sources.
Emissions from anthropogenic sources, such as vehicles, often vary on short
timescales. For example, to identify the vehicle driving conditions that
lead to high potential secondary aerosol emissions, rapid oxidation of
exhaust is needed. However, the residence times in environmental chambers
and in most oxidation flow reactors are too long to study these transient
effects ( ∼ 100 s in flow reactors and several hours in
environmental chambers). Here, we present a new oxidation flow reactor, TSAR
(TUT Secondary Aerosol Reactor), which has a short residence time
( ∼ 40 s) and near-laminar flow conditions. These improvements
are achieved by reducing the reactor radius and volume. This allows studying,
for example, the effect of vehicle driving conditions on the secondary aerosol formation
potential of the exhaust. We show that the flow pattern in TSAR is nearly
laminar and particle losses are negligible. The secondary organic aerosol
(SOA) produced in TSAR has a similar mass spectrum to the SOA produced in
the state-of-the-art reactor, PAM (potential aerosol mass). Both reactors
produce the same amount of mass, but TSAR has a higher time resolution.
We also show that TSAR is capable of measuring the secondary aerosol
formation potential of a vehicle during a transient driving cycle and that
the fast response of TSAR reveals how different driving conditions
affect the amount of formed secondary aerosol. Thus, TSAR can be used to
study rapidly changing emission sources, especially the vehicular emissions
during transient driving.
| Reference Key |
simonen2017atmospherica
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|---|---|
| Authors | ;P. Simonen;E. Saukko;P. Karjalainen;H. Timonen;M. Bloss;P. Aakko-Saksa;T. Rönkkö;J. Keskinen;M. Dal Maso |
| Journal | bioorganic & medicinal chemistry |
| Year | 2017 |
| DOI |
10.5194/amt-10-1519-2017
|
| URL | |
| Keywords |
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