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Toxicity measurements in concentrated water samples - Rivm

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For less than 4 test species, the s<strong>in</strong>gle species approach can be used. This method is also used for the<br />

assessment of whole effluents. The criteria <strong>in</strong>dicate effects based on exceed<strong>in</strong>g toxicity levels.<br />

Figure 1-3. Microtox® test (left) and algae test (PAM, right) which can be applied to very small volumes.<br />

If more toxicity data are available (four or more test species), a risk analysis can be used based on a<br />

species sensitivity distribution (SSD) (Posthuma et al., 2002). The potential fraction affected is derived<br />

from the sensitivity distribution at the orig<strong>in</strong>al sample concentration (Figure 1-4).<br />

Potentially Affected<br />

Fraction species (%)<br />

toxic<br />

pressure<br />

= 14%<br />

100<br />

90<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

0.01 0.1 1 10 100 1000<br />

orig<strong>in</strong>al<br />

<strong>water</strong> sample (C F orig<strong>in</strong>al<br />

<strong>water</strong> sample (C = 1) F = 1)<br />

NECF NECF 90% Confidence<br />

Interval (C.I.)<br />

(concentration factor no effect)<br />

Figure 1-4. Example of a cumulative species sensitivity distribution curve for the end-po<strong>in</strong>ts of five bioassay<br />

tests, and its extrapolation for the ecological risk <strong>in</strong> the not <strong>concentrated</strong> sample (Struijs and De<br />

Zwart, 2003).<br />

Metals are not extracted from the <strong>water</strong> sample with XAD. However, for most relevant metals, large<br />

toxicity datasets are available. These data can be used to calculate a potentially affected fraction (PAF)<br />

for measured metals us<strong>in</strong>g SSD. Options for calculat<strong>in</strong>g toxic pressure for metals are presented <strong>in</strong><br />

Appendix III.<br />

A detailed description of the <strong>in</strong>terpretation methods is given <strong>in</strong> chapter 5.<br />

20 RIVM Report 607013010

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