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1.1 MB pdf - Bolsa Chica Lowlands Restoration Project

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SECTION 4: RISK CHARACTERIZATION<br />

dose-response effect could be observed if it were present. The data had to be transformed<br />

back to the original state after the regression analyses so that the EC 50 could be estimated.<br />

The transformation and then back-transformation can result in some uncertainty. The<br />

uncertainty in the estimated EC 50 values is inversely proportional to both the sample size<br />

and r 2 for the regression model on which they are based. As both sample size and<br />

r 2 increase, confidence in the EC 50 increases. The best EC 50 measurements (e.g., those with<br />

the least uncertainty) are based on models with the highest r 2 (i.e., > 0.5) and the largest<br />

sample sizes, followed by EC 50 based on models with high r 2 and small sample sizes.<br />

Moderate uncertainty is associated with EC 50 based on models where 0.2 < r 2 < 0.5. Given<br />

the small amount of variation they describe, the EC 50 based on models with r 2 < 0.2,<br />

regardless of sample size, are not recommended for use in remedial decisionmaking.<br />

For Nereis (in sediment), topsmelt (in surface water), and Mysidopsis (in surface water), it<br />

was not possible to determine the maximum concentrations of any chemicals that would not<br />

cause significant effects (the NOECs) or the lowest concentrations that cause effects<br />

(LOECs). This occurred because no effects were observed at the highest exposure<br />

concentrations that were tested. Therefore, the NOECs and LOECs for those species<br />

represent uncertainties, may result in an overestimation of the HQ.<br />

Uncertainties associated with the selection of RTVs for use in the ERA include the effects<br />

data available and extrapolations made. An attempt was made to identify RTVs for each<br />

chemical for each receptor group, but toxicological information that can be correlated to<br />

media concentrations is generally limited for terrestrial plants, invertebrates, and birds. In<br />

general, RTVs for terrestrial receptors were limited to chronic no-effect and low-effect levels.<br />

RTVs for aquatic receptors included both chronic and acute effect levels. As such, the<br />

highest level of risk that could potentially quantified was Category B for terrestrial receptors<br />

and Category A for aquatic receptors.<br />

Lack of RTVs for several chemicals results in uncertainty of the risk posed by these<br />

chemicals. Receptors that had the least number of RTVs available were terrestrial plants,<br />

terrestrial invertebrates, and birds. RTVs were available for most chemicals for mammals<br />

and aquatic receptors.<br />

The other main source of uncertainty in RTVs is for those chemicals for which the only RTV<br />

available was a NOEC based on a toxicity bioassay which did not show any toxicity. Since<br />

there were no other RTVs with which to compare the HQs, it is unknown whether the HQ<br />

represents an accurate estimation or is over-estimated. The other site-specific RTVs<br />

(e.g., NOECs, LOECs, LC 20 s, and LC 50 s) were generally within the same magnitude as<br />

established benchmarks, but not in all cases. Specifically, some LC 20 values were far more<br />

conservative than ER-Ls.<br />

4.3.3 Risk Characterization<br />

Uncertainties related to the risk characterization include the use of hazard quotients to<br />

quantify potential risks and the assumption that estimated risks for the representative<br />

species will be protective of all similar receptors.<br />

Hazard quotients are an estimate of potential risk and, while it can be conservatively<br />

determined that if an HQ exceeds one there is a potential for risk, the magnitude of the HQ<br />

cannot be used as a definitive measure of the risk. Different types of effect levels such as<br />

SAC/143368(004.DOC) 4-27 ERA REPORT<br />

7/31/02

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