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2.2 Site Specific Conditions <br /> The volume of petroleum hydrocarbons remaining in the soil on and off-site was estimated <br /> in the Closure Summary Report (CSR), prepared by GeoAudit, dated August 30, 1994. An <br /> ' addendum to the CSR, dated October 4, 1994, discussed the methods for the calculations. <br /> The data from the CSR and addendum was input into the SESOIL modeling program. All <br /> ' data was converted to metric units for input to SESOIL. <br /> The area of concern was divided into four layers. The top layer consists of non-impacted <br /> ' silts and sands from surface grade to 2 meters; the second layer is the impacted silts and <br /> sands from 2 to 5 meters; the third layer is the impacted clays and silts from 5 to 12 meters; <br /> and the fourth is the non-impacted clays and silts from 12 to 15 meters (groundwater). <br /> tFigure 3 is a cross section of the impacted soil. <br /> The mass of ethylbenzene, toluene and xylene was calculated from the known data and input <br /> ' into SESOIL. No benzene has been detected at the site. Therefore, benzene was not used <br /> in the modeling. Soil characteristics were estimated from borings drilled on and off-site. <br /> Climatic parameters were estimated from historical local weather conditions. <br /> When all information is entered, SESOIL provides a predicted mass loading to groundwater <br /> for each year of the test. The AT123D modeling program uses the yearly predicted mass <br /> ' load to groundwater from SESOIL and hydraulic properties of the aquifer to estimate the <br /> contaminant concentrations in groundwater at a receptor well. For this model (site), the <br /> receptor well was placed at the down-gradient edge of the hydrocarbon impacted soil to <br /> obtain maximum influence. The hydraulic gradient was calculated from groundwater <br /> monitoring conducted at the site. Other parameters were estimated from the soil types. The <br /> maximum permitted running time of 100 years was used for this site. <br /> ' 2.3 Results <br /> ' When all parameters were entered using the best available data, SESOIL predicted no <br /> contaminants reaching groundwater (Appendix A). Appendix A includes three pages of <br /> input data, SESOIL and AT123D output files with annual reports, receptor point summary <br /> ' sheets and graphs, and chemical intake evaluation tables. <br /> The modeling program was run again with various data. For the second, third and forth <br /> runs, the mass of total petroleum hydrocarbons (TPH) in soil was substituted for the mass <br /> of toluene, ethylbenzene and xylene and then increased by 10 percent. The effective porosity <br /> ' and intrinsic permeability were also significantly increased and the area of contamination <br /> was decreased to provide a worse possible estimate for impacting the groundwater. Again, <br /> SESOIL predicted no contaminants reaching groundwater (Appendix B). <br /> Oeabgorl A"I Se ki I- <br /> 4 <br /> YatloW g.Mnsiee SE50[L 1.95 <br />