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technical guidance documents - Institute for Health and Consumer ...

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2.2 MEASURED DATA<br />

ENVIRONMENTAL EXPOSURE ASSESSMENT<br />

For a number of existing substances measured data are available <strong>for</strong> air, fresh or saline water,<br />

sediment, biota <strong>and</strong>/or soil. These data have to be carefully evaluated <strong>for</strong> their adequacy <strong>and</strong><br />

representativeness according to the criteria below. They are used together with calculated<br />

environmental concentrations in the interpretation of exposure data.<br />

The evaluation should follow a stepwise procedure:<br />

• reliable <strong>and</strong> representative data should be selected by evaluation of the sampling <strong>and</strong><br />

analytical methods employed <strong>and</strong> the geographic <strong>and</strong> time scales of the measurement<br />

campaigns (Section 2.2.1);<br />

• the data should be assigned to local or regional scenarios by taking into account the sources<br />

of exposure <strong>and</strong> the environmental fate of the substance (Section 2.2.2);<br />

• the measured data should be compared to the corresponding calculated PEC. For naturally<br />

occurring substances background concentrations have to be taken into account. For risk<br />

characterisation, a representative PEC should be decided upon based on measured data <strong>and</strong> a<br />

calculated PEC (Section 2.5).<br />

2.2.1 Selection of adequate measured data<br />

The available measured environmental concentrations have to be assessed first. The following<br />

aspects could be considered in order to decide if the data are adequate <strong>for</strong> use in the exposure<br />

assessment <strong>and</strong> how much importance should be attached to them:<br />

Quality of the applied measuring techniques<br />

The applied techniques of sampling, sample shipping <strong>and</strong> storage, sample preparation <strong>for</strong><br />

analysis <strong>and</strong> analysis must consider the physico-chemical properties of the substance. Measured<br />

concentrations that are not representative as indicated by an adequate sampling programme or<br />

are of insufficient quality should not be used in the exposure assessment.<br />

The limit of quantitation (LOQ) of the analytical method, which is normally defined by the<br />

analytical technique being used, should be suitable <strong>for</strong> the risk assessment <strong>and</strong> the comparability<br />

of the measured data should be carefully evaluated. For example, the concentrations in water<br />

may either reflect total concentrations or dissolved concentrations according to the sampling <strong>and</strong><br />

preparation procedures used. The concentrations in sediment may significantly depend on the<br />

content of organic carbon <strong>and</strong> particle size of the sampled sediment. The soil <strong>and</strong> sediment<br />

concentrations should preferably be based on concentrations normalised <strong>for</strong> the particle size (i.e.<br />

coarsest particles taken out by sieving). All measurements below the LOQ constitute a special<br />

problem <strong>and</strong> should be considered on a case-by-case basis. One approach that could be<br />

considered would be to use a value corresponding to LOQ/2 be<strong>for</strong>e estimating a mean or<br />

st<strong>and</strong>ard deviation (EC, 1999). As this method could heavily influence the mean <strong>and</strong> st<strong>and</strong>ard<br />

deviation, other methods may also be considered (e.g. assuming same distribution of data below<br />

<strong>and</strong> above the LOQ).<br />

The aim is to obtain as much useful in<strong>for</strong>mation on exposure from a data set as possible, but<br />

there is inherent danger <strong>for</strong> inappropriate use of the data <strong>for</strong> risk assessment purposes. To<br />

address this problem, two quality levels <strong>for</strong> existing data are given in Table 4 (taken from<br />

OECD, 2000k). In recommending this table the OECD stressed “…these criteria should be<br />

applied in a flexible manner. For example, data should not always be discounted because they do<br />

not meet the criteria. Risk assessors should make a decision to use the data or not, on a case-by-<br />

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