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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 />

Page 23 of 284<br />

6/1/2007

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