Guidelines for Metals and Metalloids in Ambient ... - ARCHIVE: Defra
Guidelines for Metals and Metalloids in Ambient ... - ARCHIVE: Defra
Guidelines for Metals and Metalloids in Ambient ... - ARCHIVE: Defra
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Expert Panel on Air Quality St<strong>and</strong>ards<br />
A3<br />
The quantitative risk assessment approach<br />
314. The data from occupational exposures to chemical carc<strong>in</strong>ogens tell us<br />
that at a certa<strong>in</strong> (high) exposure concentration there is a particular<br />
level of additional risk <strong>for</strong> exposed workers. The quantitative risk<br />
assessment approach seeks to extrapolate the occupational data to<br />
lower concentrations <strong>and</strong> there<strong>for</strong>e to quantify the additional risk of<br />
cancer at environmentally mean<strong>in</strong>gful concentrations. There are many<br />
ways <strong>in</strong> which this extrapolation can be made depend<strong>in</strong>g upon the<br />
assumed mechanism of carc<strong>in</strong>ogenesis. This can lead to very different<br />
estimates of risk at low exposure concentrations, which is one of the<br />
weaknesses of the Quantitative Risk Assessment approach. In practice<br />
the simplest assumption <strong>and</strong> that used by the WHO is that the risk of<br />
cancer is zero only at zero concentration of that compound <strong>and</strong><br />
<strong>in</strong>creases proportionately with concentration. This is referred to as a<br />
l<strong>in</strong>ear model without threshold (i.e. there is no level below which no<br />
effect is thought to occur).<br />
315. This method leads to an estimate of risk referred to as the <strong>in</strong>cremental<br />
unit risk estimate which is def<strong>in</strong>ed by WHO as “the additional lifetime<br />
cancer risk occurr<strong>in</strong>g <strong>in</strong> a hypothetical population <strong>in</strong> which all <strong>in</strong>dividuals<br />
are exposed cont<strong>in</strong>uously from birth throughout their lifetimes to a<br />
concentration of 1 µg/m 3 of the agent <strong>in</strong> the air they breathe”.<br />
316. The WHO is frank about the limitations to this approach (WHO, 2000)<br />
<strong>and</strong> one of its concerns shared by the Department of Health’s<br />
Committee on Carc<strong>in</strong>ogenicity is that the method can give a spurious<br />
impression of precision when extrapolat<strong>in</strong>g data which already have<br />
<strong>in</strong>herent uncerta<strong>in</strong>ties over orders of magnitude <strong>in</strong> concentration. The<br />
WHO (2000) po<strong>in</strong>t out that the quantitative risk estimates should not<br />
be regarded as be<strong>in</strong>g equivalent to the true cancer risk, but to represent<br />
plausible upper bounds which may vary widely accord<strong>in</strong>g to the<br />
assumptions on which they are based. Nonetheless, the method is very<br />
widely used <strong>and</strong>, <strong>for</strong> example, <strong>for</strong> benzene, yields an excess lifetime risk<br />
of leukaemia at an air concentration of 1 µg/m 3 of 6 x 10 -6 (WHO, 2000)<br />
– i.e. 6 <strong>in</strong> 1 million, mean<strong>in</strong>g that six people <strong>in</strong> every million exposed to<br />
benzene at that concentration will develop leukaemia <strong>in</strong> a lifetime. The<br />
WHO does not directly utilise this unit risk factor to recommend a<br />
numerical air quality guidel<strong>in</strong>e but calculates the concentrations of<br />
airborne benzene associated with particular levels of excess lifetime<br />
risk. In the case of benzene, the excess lifetime risk of one <strong>in</strong> 10,000<br />
occurs at a concentration of 17 µg/m 3 , a lifetime risk of one <strong>in</strong> 100,000<br />
at 1.7 µg/m 3 <strong>and</strong> a lifetime risk of one <strong>in</strong> 1 million at 0.17 µg/m 3 .<br />
317. The quantitative risk assessment method uses the same occupational<br />
cancer data as a start<strong>in</strong>g po<strong>in</strong>t <strong>and</strong> <strong>in</strong>herently very similar assumptions<br />
to the EPAQS method. However, unlike the EPAQS method it does not<br />
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