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EPA's Vessel General Permit and Small Vessel General

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concentration calculated for the hypothetical river harbor. Given this assumption, EPA believes<br />

that the calculated river EC values <strong>and</strong> subsequent risk conclusions for freshwater species<br />

adequately capture the potential “worst case” scenario pollutant concentrations <strong>and</strong> risks in a<br />

lake environment.<br />

Services Assessment of Uncertainty in the Exposure Analysis<br />

In order to determine if EPA’s decision process in evaluating its action has insured against<br />

jeopardizing listed species, the Services must evaluate EPA’s acknowledged uncertainties <strong>and</strong><br />

how they were addressed by EPA along with additional uncertainties identified by the Services.<br />

The Service took EPA’s acknowledged uncertainties into consideration while identifying<br />

discharges <strong>and</strong> stressors that posed the greatest risk to listed species. Additional monitoring<br />

agreed to by EPA is expected to provide mechanisms for identifying unacceptable risks <strong>and</strong><br />

implementing corrective measures.<br />

Perhaps the greatest source of uncertainty in the effects analysis lies in EPA’s ability to predict<br />

exposure to pollutants. EPA identified three major uncertainties in their exposure analysis,<br />

including: model pollutant load inputs reflect the data limitations in available vessel discharge<br />

data (discharge flow, discharge concentrations, <strong>and</strong> vessel populations); model inputs assume no<br />

background concentrations of pollutants are present in the receiving water; <strong>and</strong> the model is not<br />

designed to evaluate localized impacts or stressors.<br />

Uncertainties regarding EPA’s estimation of pollutant loadings from vessel discharges arise<br />

primarily for the limited amount of data for discharges, i.e., discharge volumes <strong>and</strong><br />

concentrations of pollutants in those discharges for different discharge/vessel types. In terms of<br />

pollutant concentrations, where sample data were available EPA based their estimates on median<br />

values (EPA’s report to Congress). Predictions based on medians may underestimate the full<br />

breath of potential exposures. Data collected as part of the monitoring requirements proposed in<br />

VGP <strong>and</strong> sVGP should improve the quality of information used for EPA’s future analyses.<br />

Models used to predict concentrations of pollutants in water assumed no background<br />

concentrations in the receiving water. While these predictions may capture pollutant<br />

concentrations attributable to vessel discharges, they likely underestimate actual exposures<br />

because other sources of pollution are not considered. In addition, the models assume complete<br />

mixing throughout the harbor <strong>and</strong> are not designed to evaluate localized impacts or stressors.<br />

Organisms that reside in close proximity to vessels may be exposed to higher pollutant<br />

concentrations. Risks associated with these acute exposures will be dependent on the overlap<br />

between species <strong>and</strong> vessel locations, proximity to discharges, <strong>and</strong> duration of exposure. Sessile<br />

species will likely be most vulnerable to these types of exposures. Because of the scope of the<br />

VGP <strong>and</strong> sVGP, EPA evaluated exposure using Reference Action Area (RAA) harbors. The<br />

RAA harbors are expected to represent areas where the greatest numbers of vessels are located.<br />

EPA modeled several different harbor scenarios <strong>and</strong> based their risk assessment on the maximum<br />

predicted pollutant concentration (among all harbor scenarios). The RAA harbor approach <strong>and</strong><br />

use of maximum predicted pollutant concentrations should help balance the uncertainties<br />

mentioned above <strong>and</strong> reduces the likelihood that pollutant exposures used in the effects analysis<br />

are underestimated.<br />

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