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potential COCs that should be considered. However, it is possible that chronic
toxicity could be related to unidentified compounds, such as endocrine
disruptors. The uncertainty associated with COC selection is ranked NR, or not
ranked, because data are not available to quantify the uncertainty associated with
such omissions. Furthermore, without data, it would be difficult to quantify
uncertainty.
Sampling
The primary sampling objective is to adequately characterize the
concentration of contaminants in the dredged material and reference sediment. A
number of quality assurance/quality control (QA/QC) techniques are used to
assess the uncertainty associated with the sampling process. For example, blanks
and duplicate samples are used to evaluate accuracy and precision, respectively.
It is important that sampling equipment and procedures satisfy all sampling
objectives. For example, a dredge can fall toward the sediment at different
speeds, resulting in varying levels of sediment compression. This effect can lead
to nonreproducible contaminant concentration estimates. Assuming that careful
development of sampling protocols prevents such error, uncertainty associated
with sampling is easy to quantify with the use of typical QA/QC procedures. The
magnitude of sampling error is typically less than one order of magnitude
(Mudroch and Azcue 1995).
Spatial representativeness
The OTM (USEPA/USACE 1991) and the ITM (USEPA/USACE 1998)
provide guidance on how to develop a sampling plan that will meet the objectives
of an environmental assessment. Because the spatial distribution of contaminants
at any site is uncertain, one objective is to sample the site sufficiently to
characterize the variability in concentrations of contaminants at the site. The
sampling plan must be designed to collect enough samples to ensure that hot
spots of contamination are not overlooked and to support a robust statistical
evaluation of the spatial distribution of contaminant concentration.
Composite sampling is sometimes performed and is useful for obtaining a
better estimate of the central tendency of contaminant concentrations for less cost
than the equivalent number of individual samples. However, compositing can
result in underestimates of the tails of concentration distributions. As a result, this
type of sampling can underestimate the importance of any hot spots of
contamination. This potential drawback should be considered in determining the
optimum sampling approach.
Typically, this source of uncertainty can be easily quantified by collecting
more samples. If the sampling plan is correctly designed, this source of
uncertainty should be low (Mudroch and Azcue 1995).
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Chapter 4 Uncertainty in Tiered Evaluation of Dredged Material
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