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SITE INFORMATION AND CORRESPONDENCE
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2900 - Site Mitigation Program
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PR0508110
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SITE INFORMATION AND CORRESPONDENCE
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Last modified
2/14/2020 4:11:40 AM
Creation date
2/13/2020 9:53:06 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2900 - Site Mitigation Program
File Section
SITE INFORMATION AND CORRESPONDENCE
RECORD_ID
PR0508110
PE
2950
FACILITY_ID
FA0006134
FACILITY_NAME
POMBO RANCH
STREET_NUMBER
24100
Direction
S
STREET_NAME
LAMMERS
STREET_TYPE
RD
City
TRACY
Zip
95376
APN
24002002
CURRENT_STATUS
01
SITE_LOCATION
24100 S LAMMERS RD
P_DISTRICT
005
QC Status
Approved
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page 2, 24100 Lammers Road <br /> The site cross section that was presented in the CAP does not accurately depict the <br /> boring logs. The cross section shows the three mo iitoring wells completed to 25-feet bsg <br /> with 20-feet of screen interval, when in fact they were all built to a total depth of 20-feet <br /> with 15-feet of screen interval. In addition, severalof the boring log lithological intervals <br /> do not agree with the cross section. For example, tie cross section depicts boring B-319 <br /> as being silty clay from 15 to 30-feet bsg, while the boring log shows a sandy silt interval <br /> at 20-feet bsg. Several such errors/inconsistencies were noted. <br /> The CAP evaluated four corrective action alternatives utilizing the EPA Bioscreen Natural <br /> Attenuation Decision Support System model. The four alternatives were: <br /> 1. Low-risk site closure. <br /> i <br /> 2. Excavation of source material. <br /> 3. Enhanced aerobic biodegradation ( RC injection). i <br /> 4. Excavation of source material with enhanced aerobic biodegradation. <br /> As presented in the CAP, modeling parameters USEd in the Bioscreen model were either <br /> i <br /> estimated or derived from available site data. MJK included a model input data table in <br /> the CAP; however, they did not provide references or the data values, and different <br /> values were used in the Bioscreen modeling sprea sheets. MJK listed a hydraulic <br /> conductivity of 0.001 cm/sec and a porosity of 30% in their data table. However, a <br /> hydraulic conductivity of 0.0001 cm/sec and a porosity of 20% were used in their modeling <br /> spreadsheets. A discussion for this change was not presented. Hydraulic conductivity is <br /> a sensitive parameter, and a change from 0.001 to 0.0001 cm/sec equates to a seepage <br /> velocity change from 10 to 1 feet per year. Hydraulic conductivities for fate and transport <br /> modeling should be derived from site-specific aquifer testing. <br /> The retardation factor and the solute half-life are also sensitive parameters when <br /> modeling high solubility constituents like methyl terliary butyl ether(MtBE), and again MJK <br /> did not provide references for their input values. MJK used a retardation factor of 1.1 for <br /> MtBE, the same value used for the BTEX modeling This value is conservative for both <br /> MtBE and BTEX; however, lacking site-specific da t , a retardation factor of 1.0 is more <br /> appropriate for MtBE. MJK used a solute half-life of 5:0 years for MtBE when modeling <br /> the low-risk closure and a solute half-life of 2.0 yeas when modeling the MtBE after ORC <br /> injection. Published solute half-life values for MtBE range from 1 to 27 years; thus, <br /> appropriate values need to be referenced. <br /> MJK calculated that the BTEX plume would stabilize at 40 to 120 feet in 3 to 15 years, and <br /> the MtBE would stabilize at 160 to 270 feet in 21 to 30 years, depending on the alternative <br /> initiated. Based on the supporting data submitted, HS/EHD and the CVRWQCB staff do <br /> not agree with the conclusions. <br /> Discussion <br /> Using the Bioscreen model, MJK recommended to -risk site closure. The low-risk site <br /> closure alternative is not a feasible alternative due o incomplete groundwater assessment <br /> and the presence of MtBE in groundwater. Due to he estimated hydraulic conductivity, <br /> retardation factors, and solute half-life values used in the fate and transport modeling, the <br /> results of the modeling are not acceptable for dete mining the future extent of <br /> groundwater contamination. The three existing monitoring wells on site are placed too far <br /> from the source area, and screened too shallow to effectively monitor contaminant trends. <br />
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