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r <br /> SECTIONSIEVEN ®neer hues enfi RIMItetiono <br /> The EPA and DTSC guidance documents for risk assessment provide a systematic means for <br /> organizing, analyzing, and presenting information on the nature and magnitude of nsks to public health, <br /> posed by chemical exposures Despite the advanced state of the current risk assessment methodology, <br /> uncertainties and limitations are inherent in the nsk assessment process The quality of available data, <br /> incomplete information about existing conditions and future circumstances, as well as other factors <br /> discussed below contribute to these uncertainties and limitations This section discusses the following <br /> sources of uncertainties and limitations associated with this risk assessment <br /> o Data <br /> 0 Chemical,fate and transport modeling <br />' o Receptor exposure assessment <br /> o Toxicological assessment <br /> To overcome uncertainties in the estimation of health risk and potential impacts to groundwater, <br /> conservative assumptions were used in every step of the process (exposure assumptions, toxicity <br /> assessment, fate and transport modeling, and risk characterization)so as not to underestimate site risks <br /> Because multiple conservative assumptions are used, the overall results of the assessment are more <br /> likely to overestimate than to underestimate actual site risk <br /> 7.1 DATA COLLECTION AND EVALUATION <br /> The first step taken m this risk assessment was to evaluate existing soil and groundwater sampling and <br /> analysis data from 1987 to the present This risk assessment is based on data specific to the site for soil <br /> and groundwater <br /> Sampling <br /> The data collected are subject to uncertainty associated with sampling and analysis These data are <br /> presented in other parts of this health risk assessment In the risk assessment, it was assumed that <br /> samples collected were representative of conditions to which various populations may be exposed <br /> However, the collected samples may not be completely representative due to biases in sampling and to <br /> random variability of samples In general, sampling was biased toward areas of known and suspected <br /> elevated chemical concentrations, which will lead to an overestimation of risk when these results are <br /> assumed to represent a larger area <br /> The placement of soil borings and monitoring wells was, in part, purposely biased to detect and <br /> characterize potential hot spots of soil and potential groundwater contamination based on historical site <br /> ® T 118971973000NAw=KTOMRaKwnsHOREPM DOG1&Fm8 991973ppg ism 7-1 <br />