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Dames & Moore, 1999 - USDA Forest Service

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equilibrium partitioning have been relatively more successful, as have partitioning between acid-volatile<br />

sulfides (AVS) and TOC and the sediment pore water.<br />

Models<br />

Only the simplest of models were used in this ERA. They consisted of soil-to-plant uptake factors, pore<br />

water-to-insect extrapolations, and soil-to-small mammal extrapolations. While the soil-to-plant factors are<br />

based upon a number of studies, there are large interspecies differences in the efficiency with which metals<br />

are taken up from soils. Some of the factors that drive these differences are: soil moisture. organic content<br />

metal complex, and weather conditions. In addition, most plants only bioaccumulate metals in the roots and<br />

pass very little on to the leaves, and less on to the seeds. This is not reflected in the soil-to-plant uptake<br />

factors used.<br />

The remaining extrapolations were based upon a single study and must be used with' caution. The<br />

conditions in the original studies from which these were extrapolated may have been very different from the<br />

conditions at Holden Mine. For instance, the Clark Fork River pore-waters used to extrapolate metals<br />

concentrations in Railroad Creek insects may have had higher concentrations of dissolved organic matter<br />

than Railroad Creek. They may also have had relatively high levels of acid-soluble sulfides. Both of these<br />

factors could reduce the apparent bioavailability of metals to insects.<br />

The extrapolation of soil-to small mammals relied on the only known database for this type of information,<br />

but suffers fiom the same kinds of potential uncertainties as the soil-to-plant and pore water-to-insect<br />

extrapolations.<br />

Risk Characterization<br />

It is important to note that no one approach to risk characterization is adequate for all sites and chemicals.<br />

For instance, the toxicity benchmarks used in this assessment are all chemical-specific and, as such.<br />

cannot address the additive, antagonistic, or synergistic effects of the mixtures of chemicals typically<br />

found in the environment. Further, they do not rake into account the nature and constitution of the<br />

ecosystem present at the Site, site-specific conditions regulating chemical contact and bioavailability, the<br />

potential toxicity of other constituents that were not quantified, or the pervasive influence of physical<br />

stressors associated with natural conditions in severe climates.<br />

In the present ERA, risks were characterized using the quotient method. This method relies upon a single<br />

value of dose and TRV and provides only a single estimate of risk. Given the uncertainties and variances<br />

presented above, it is apparent that the hazard quotients could be in error. An attempt was made to reduce<br />

this source of error by deriving site-specific TRVs. and overestimating exposures, but the quotient method<br />

does not yield a measure of central tendency. Probabilistic methods provide such as measure of central<br />

tendency but are only as good as the input data. For the purposes of the RI, the hazard quotients were<br />

determined to provide sufficient conservatism as to protect the receptor guilds identified in this ERA.<br />

In the present ERA, it was assumed that metals were the only and most serious sources of risk to plant and<br />

animal populations. However, there is good evidence that physical factors may also contribute to adverse<br />

effects on both plant and animal populations. For instance, it is known that tailings piles have limited<br />

amounts of organic matter and nutrients and have small water holding capacities. In addition, severe winter<br />

and summer weather conditions and cropping by herbivores make re-establishment of vegetation on these<br />

G:\~U\ooS~\hoIdn,-2\n17-O-Odoc 7-74<br />

17693M)3-019Uuly 27.<strong>1999</strong>;5:16 PM;DRAFT FINAL RJ REPORT

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