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2900 - Site Mitigation Program
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PR0009005
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Entry Properties
Last modified
5/11/2020 11:50:28 AM
Creation date
5/11/2020 11:16:49 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2900 - Site Mitigation Program
File Section
WORK PLANS
RECORD_ID
PR0009005
PE
2953
FACILITY_ID
FA0004053
FACILITY_NAME
LUSTRE-CAL NAME PLATE CO
STREET_NUMBER
110
Direction
E
STREET_NAME
TURNER
STREET_TYPE
RD
City
LODI
Zip
95240
APN
04124048
CURRENT_STATUS
01
SITE_LOCATION
110 E TURNER RD
P_LOCATION
02
P_DISTRICT
004
QC Status
Approved
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the field equipment or trip blanks, data will be qualified as described in the applicable validation <br /> procedure. <br /> 5.2.3 Representativeness <br /> Representativeness is the degree to which data accurately and precisely represent selected <br /> characteristics of the media sampled. Representativeness of data collection is addressed by <br /> careful preparation of sampling and analysis programs. This QAPP, together with the FSP, <br /> addresses representativeness by specifying the numbers and locations of samples; incorporating <br /> appropriate sampling methodologies; specifying proper sample collection techniques and <br /> decontamination procedures; selecting appropriate laboratory methods to prepare and analyze <br /> soil, soil vapor, and groundwater samples; and establishing proper field and laboratory QA/QC <br /> procedures. <br /> 5.2.4 Comparability <br /> Comparability is an expression of confidence with which one data set can be compared to <br /> another. The objective of comparability is to verify that data developed during the investigation <br /> are comparable to site knowledge and adequately address applicable criteria or standards <br /> established by the USEPA and/or California Department of Health Services (DHS). This QAPP <br /> addresses comparability by specifying laboratory methods that are consistent with the current <br /> standards of practice as approved by the USEPA and DHS. Field methods are discussed in the <br /> FSP. <br /> 5.2.5 Completeness <br /> Completeness is the amount of valid data obtained, compared to the amount that was expected <br /> under ideal conditions. The number of valid results divided by the number of possible results, <br /> expressed as a percentage, determines the completeness of the data set. The objective for <br /> completeness is to recover at least 90 percent of the planned data to support field efforts. The <br /> formula for calculation of completeness is as follows: <br /> %Completeness = 100 x (number of valid results)/(number of expected results) <br /> Environmental/LNC/workplan/Appendix3.wpd 11 <br />
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