Environmental Health Criteria 214
Environmental Health Criteria 214
Environmental Health Criteria 214
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HUMAN EXPOSURE ASSESSMENT<br />
include exposure concentration and the duration of contact. If the<br />
exposure concentration is integrated over the duration of contact<br />
(Table 2), the area under the resulting curve is the magnitude of the<br />
exposure in units of concentration multiplied by time (e.g.,<br />
mg/litreÊday, mg/kgÊday, µg/m 3 Êh). This is the method of choice to<br />
describe and estimate short-term doses, where integration times are of<br />
the order of minutes, hours or days.<br />
Over periods of months, years or decades, exposures to most<br />
environmental agents occur intermittently rather than continuously.<br />
Yet long-term health effects, such as cancer, are customarily<br />
evaluated based on an average dose over the period of interest<br />
(typically years), rather than as a series of intermittent exposures.<br />
Consequently, long-term doses are usually estimated by summing doses<br />
across discrete exposure episodes and then calculating an average dose<br />
for the period of interest (e.g., year, lifetime). Although the<br />
integration approach can also be used to estimate long-term exposures<br />
or doses, its application to time periods longer than about a week is<br />
usually difficult and inconvenient.<br />
1.2.3 Exposure measurements and models<br />
Direct measurements are the only way to establish unequivocally<br />
whether and to what extent individuals are exposed to specific<br />
environmental agents. But it is neither affordable nor technically<br />
feasible to measure exposures for everyone in all populations of<br />
interest. Models, which are mathematical abstractions of physical<br />
reality, may obviate the need for such extensive monitoring programmes<br />
by providing estimates of population exposures (and doses) that are<br />
based on a smaller number of representative measurements (Fig. 1). The<br />
challenge is to develop appropriate and robust models that allow for<br />
extrapolation from relatively few measurements to estimates of<br />
exposures and doses for a much larger population (US NRC, 1991b).<br />
For relatively small groups, measurements or estimates can be<br />
made for some or all of the individuals separately, and then combined<br />
as necessary to estimate the exposure (or dose) distribution. For<br />
larger groups, exposure models and statistics can sometimes be used to<br />
derive an estimate of the distribution of population exposures,<br />
depending on the quantity and quality of existing data. Monte Carlo<br />
and other statistical techniques are increasingly being used to<br />
generate and analyse exposure distributions for large groups (US EPA,<br />
1992a).<br />
1.2.4 Exposure in the context of an environmental health paradigm<br />
The presence of hazardous substances in our environment does not<br />
necessarily imply a risk to human health or to the ecosystem. Exposure<br />
is an integral and necessary component in a sequence of events having<br />
potential health consequences. An expanded and more detailed version<br />
http://www.inchem.org/documents/ehc/ehc/ehc<strong>214</strong>.htm<br />
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6/1/2007