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3500 - Local Oversight Program
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PR0545315
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SITE INFORMATION AND CORRESPONDENCE
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Last modified
2/11/2020 12:05:30 PM
Creation date
2/11/2020 9:46:33 AM
Metadata
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Template:
EHD - Public
ProgramCode
3500 - Local Oversight Program
File Section
SITE INFORMATION AND CORRESPONDENCE
RECORD_ID
PR0545315
PE
3528
FACILITY_ID
FA0003572
FACILITY_NAME
DAVES UNION SERVICE
STREET_NUMBER
1702
STREET_NAME
JACKSON
STREET_TYPE
ST
City
ESCALON
Zip
95320
APN
227-14-011
CURRENT_STATUS
02
SITE_LOCATION
1702 JACKSON ST
P_LOCATION
06
P_DISTRICT
005
QC Status
Approved
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- CLEARWATER <br /> G R O U P, I N C. <br /> requirements. All'data is recorded in a written log. by the .vapor extraction: test <br /> technician. Depending on equipment used, some data is also recorded in computer . <br /> generated printouts or into electronic data logs. : <br /> DATA EVALUATION <br /> Radius of Influence <br /> The test is performed at several pressure/flow rate combinations (steps) to <br /> determine the optimal vacuum and flow rate needed to obtain a sufficient radius of <br /> .influence for one well. The radius of influence will be determined as the radius : <br /> from the extraction well to a distance from the well where the measured vacuum is <br /> one percent of the applied vacuum (Buscheck & Peargin, 1991). Alternatively, the <br /> radius of influence may be _defined as the estimated distance from the extraction <br /> well where vacuums are -not less than 0.1`-inches of water (Johnson, 1994). . This <br /> radius of influence is assumed to approximate.the maximum-distance from the <br /> -extraction well! ..at which contaminated soil will be remediated through - <br /> volatilization. Although there are limitations inherent in determining the radius <br /> of influence based on pressure. distributions (Johnson & Ettinger, 1994), this method <br /> is generally accepted as a screening technique. The radius -of influence may -not <br /> necessarily increase significantly beyond a certain flow rate and vacuum.. Therefore, <br /> the optimal vacuum and flow rate will be based on blower efficiency relative to the <br /> area of influence and may not necessarily be the maximum vacuum-and flow--rate. <br /> This evaluation will be determined graphically by plotting the vacuums observed at <br /> each monitoring point versus the distance of the monitoring point from the <br />" extraction well for each step test- Semi-log paper may be used to obtain a straight <br /> line fit through the data for each applied flow rate and vacuum. In addition, the <br /> applied flow rates and corresponding vacuums for each test will be plotted on linear <br /> j the effect of vacuum on flow rates. <br /> paper to evaluate <br /> Permeability <br /> Data collected from several monitoring points during each test will be evaluated to <br /> determine the permeability of the formation following the method outlined by P.C. <br /> Johnson, et al (1990) based on the flow rate and transient pressure distribution data. <br /> Two different permeability calculations presented by Johnson, et al (1990) and <br /> summarized b Du ont (1993) can be performed depending on site parameters. The <br /> first calculations assumes radial flow with no vertical leakage and relatively long <br /> screens (>10 ft)t The second calculation assumes some vertical flow, shallow soil <br /> contamination and relatively short well screens (<10 ft). For a derivation and <br /> presentation of the calculations refer to the original references. <br /> E <br /> a <br /> Soil Vapor Extraction Fest Protocols Page 3 of 5 October 4, 1994 <br /> �t <br />
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