Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
Air quality expert group - Fine particulate matter (PM2.5) in ... - Defra
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<strong>PM2.5</strong> emissions and receptor modell<strong>in</strong>g<br />
brake wear) and nickel and vanadium (fuel oil combustion). Considerable care is<br />
required <strong>in</strong> their use as other sources may contribute <strong>in</strong> some localities.<br />
69. One of the few sources which is typically quantified from a s<strong>in</strong>gle component<br />
is biomass burn<strong>in</strong>g, which <strong>in</strong> the UK would typically refer to wood burn<strong>in</strong>g and<br />
bonfires, although occasionally woodland and forest fires would also contribute.<br />
The carbohydrate compound levoglucosan is typically used as a s<strong>in</strong>gle marker<br />
of biomass burn<strong>in</strong>g as this is by far its major atmospheric source. Consequently,<br />
there is little risk of contributions from other sources but there rema<strong>in</strong>s the<br />
problem of convert<strong>in</strong>g the mass of levoglucosan <strong>in</strong>to a mass of wood smoke<br />
particles. While many measurements exist of the ratio of wood smoke particles<br />
to levoglucosan mass, the ratio is highly variable depend<strong>in</strong>g on combustion<br />
conditions. Consequently, when us<strong>in</strong>g levoglucosan as an atmospheric tracer,<br />
there are large uncerta<strong>in</strong>ties <strong>in</strong> the subsequent conversion to a wood smoke<br />
mass. Other tracers of wood smoke <strong>in</strong>clude f<strong>in</strong>e particle potassium (after<br />
correction for a contribution from w<strong>in</strong>d-blown soil and sea salt), but a similar<br />
problem rema<strong>in</strong>s, namely that the wood smoke to f<strong>in</strong>e potassium mass ratio is<br />
highly dependent upon combustion conditions and there is no unique factor<br />
for the conversion as it relates to the atmosphere. It is also possible to use an<br />
aethalometer to estimate wood smoke mass but the method (Sandradewi<br />
et al., 2008) was developed <strong>in</strong> a Swiss valley where there are only two sources<br />
of carbonaceous particles, road traffic and wood smoke. In situations such as<br />
the UK where there may well be other sources of carbonaceous particles, the<br />
two component model on which the calculation is based is unreliable; as yet<br />
there is no agreed way of us<strong>in</strong>g the aethalometer to calculate wood smoke<br />
mass <strong>in</strong> the UK. Perhaps the most reliable way of estimat<strong>in</strong>g wood smoke<br />
mass is from the analysis of radiocarbon ( 14 C). Radiocarbon is associated with<br />
contemporary sources of carbon and not with fossil sources. Consequently,<br />
if contemporary elemental carbon is found <strong>in</strong> the atmosphere, it most likely<br />
arises from the combustion of biomass. Consequently, it is a fairly reliable tracer<br />
of wood smoke but there aga<strong>in</strong> rema<strong>in</strong>s a question over conversion of the<br />
elemental carbon mass to the mass of wood smoke particles, once aga<strong>in</strong> this is<br />
heavily dependent upon combustion conditions.<br />
70. One of the other problem areas <strong>in</strong> source attribution relates to cook<strong>in</strong>g aerosol.<br />
Early work from the United States used cholesterol as a marker of meat cook<strong>in</strong>g<br />
and this was used by Y<strong>in</strong> et al. (2010) <strong>in</strong> their UK study, but the airborne<br />
concentrations were extremely low and no mass concentration was assigned to<br />
particles from meat cook<strong>in</strong>g. However, Allan et al. (2010) used a variant on the<br />
multivariate statistical receptor modell<strong>in</strong>g techniques to identify a contribution<br />
from cook<strong>in</strong>g particles <strong>in</strong> the atmosphere of London. They applied PMF to<br />
mass spectral <strong>in</strong>formation obta<strong>in</strong>ed from non-refractory atmospheric particles<br />
us<strong>in</strong>g an aerosol mass spectrometer (AMS). The AMS volatilises particles before<br />
measur<strong>in</strong>g their mass spectrum, and PMF is able to decompose the overall mass<br />
spectrum <strong>in</strong>to the <strong>in</strong>dividual mass spectra of specific contributory particle types.<br />
Allan et al. (2010) found a particle type whose mass spectrum did not fit that of<br />
the conventional sources (road traffic and coal burn<strong>in</strong>g) but was similar to that<br />
of particles generated from hot corn oil. As a result, they assigned 34% of the<br />
primary organic particles <strong>in</strong> their sample to cook<strong>in</strong>g, but this f<strong>in</strong>d<strong>in</strong>g has yet to<br />
be replicated by other techniques.<br />
103