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| Titel |
Hopanes Degradation: New Observational Evidence and Their Incorporation into Chemical Mass Balance Source Apportionment of PM2.5 |
| VerfasserIn |
Yee Ka Wong, Xiao Hui Hilda Huang, Jian Zhen Yu |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250147618
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| Publikation (Nr.) |
 EGU/EGU2017-11807.pdf |
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| Zusammenfassung |
| The chemically unstable and semi-volatile nature of molecular markers is among the major
concerns in receptor model source apportionment of airborne fine particulates (PM2.5). This
hampers our way towards a more reliable estimation of source contributions, which is crucial
for optimized air quality control in polluted areas. Vehicular exhaust (VE) is an important
factor contributing to PM2.5 pollution in urbanized areas. Quantifying its source
contribution estimate by receptor modelling has so far been relying mainly on hopanes, a
group of molecular markers for fossil fuel combustion sources. Evidence for their
atmospheric instability from both ambient measurements and chamber studies has been
emerging. Overlooking atmospheric degradation would unarguably underestimate
the source contribution, but studies about determining the bias has hitherto been
scarce.
We will share some findings from analysing PM2.5 chemical speciation data, particularly
C27–C31 hopanes and elemental carbon (EC), in two urban sites of the Pearl River Delta, a
polluted co-urbanized region in China. Evidence for atmospheric hopanes degradation
through investigating ratio-ratio plot normalized against EC will be shown. We will also
present the first result of investigating the ratios between hopanes abundance normalized
by the least reactive homologue in ambient PM2.5 and that in representative VE
source profiles, to further corroborate hopanes degradation. This method could
potentially be used in other regions to determine whether hopanes degradation
exists.
We deployed the effective variance-chemical mass balance (CMB) model to apportion
organic carbon (OC) in PM2.5 and subsequently total PM2.5, with special emphasis on
determining the bias arising from hopanes degradation. The effect was incorporated by
applying degradation factors derived from pseudo-first-order atmospheric oxidation to
ambient hopanes concentrations. The extent of degradation was individually determined for
each sample through varying residence time between source and receptor until the statistical
performance of CMB solution reaches the optimum. Our results reveal that accounting for
hopanes degradation would increase the OC associated with VE by a factor of 2.1 ± 0.8
(average ± standard deviation) from 1.00 ± 0.68 to 1.84 ± 1.02 μg/m3 (9.0 vs.
16.7 % of total mass), corresponding to 4.30 ± 2.56 and 8.01 ± 3.76 μg/m3 (8.7
vs. 15.1 %) of PM2.5. The method we developed could be used to improve PM2.5
source apportionment in other urban locations with significant vehicular emissions. |
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