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geologtcaI Tuhaks lac <br /> Page 12 <br /> Revised Site Conceptual Model Report <br /> Project No.507.2 j <br /> April 3,2008 r <br /> 1 <br /> _ t ...................... e <br /> MW-6 and MW-8. This-groundwater data�-supports the-conclusion^that te gasoline release i <br /> occurred in the vicinity of the alley between the_two.buildings,— <br /> Figures 12, 13 and 14 illustrate the relationship between the TPH-G concentrations and <br /> groundwater elevations over time in wells MW-9, MW-5 and MW-6 respectively. MW-9 <br /> (located in the core of the plume) data shows there is no clear trend but rather a variable <br /> relationship between these parameters. The linear trend line added to the TPH-G data in <br /> Figure 12 indicates that as the groundwater elevation has fluctuated, the concentration of <br /> TPH-G has remained stable. The polynomial trend line added to the groundwater elevation <br /> data illustrates the reversal in a declining trend over two consecutive winter/spring heavy <br /> recharge periods of the hydrologic cycle. <br /> S <br /> �} Trend lines added to MW-5 (located up/cross gradient of the core of the plume) data in <br /> Figure 13 show that as the groundwater elevation fluctuated since 1999 the concentrations of <br /> . TPH-G have decreased slightly. <br /> A similar relationship between groundwater elevation and contaminant concentrations exists <br /> in down gradient well MW-6. Trend lines added to the data in Figure 14 show that as the <br /> groundwater elevation has fluctuated since 1999, the concentrations of TPH-G in the well <br /> ? have decreased slightly. <br /> 2.6 Contaminant Mass Estimate Calculations <br /> The total mass of gasoline petroleum hydrocarbons released at the site is unknown. In order <br /> to determine the fate and transport of the contamination and hence the future risk these <br /> compounds may pose to human health, an estimate of contaminant mass is necessary. <br /> 1 k-Calculation of contaminant mass is difficult for many reasons <br /> • Spatial variability of contaminant''concentrations, both laterally and vertical. This <br /> variability:is controlled by geology, soil moisture, contaminant type, etc. Due to these <br /> variabilities, when contaminant concentrations are averaged between sample locations, <br /> the estimate may be either higher or lower than what is actually present. <br /> • Insufficient data points. Because site characterization activities usually focus on defining <br /> the extent of the plume, few borings, and hence samples, are collected from the central <br /> portions of the plume. This generally creates a data set with a few very "hot" samples <br /> L and many low concentration samples around the edges of the plume. This is compounded <br /> by the spatial variability noted above. <br /> j <br /> • Extended period of time overwhich samples are collected. The first borehole soil and <br /> Lgroundwater samples were obtained in 1996 (MW-8 &MW-9). During the period of site <br /> characterization activities, contaminant concentrations change for a variety of reasons, <br /> including but not limited to migration, degradation, dilution, and/or new sources adding <br /> to the existing levels. <br /> • <br /> Difficulty in quantifying natural attenuation. Contaminant mass degrades due to natural <br /> n attenuation processes in the subsurface, such as biological activity. Due to this factor, <br /> J <br />