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2020-02-26_REVISION - M2002004
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2020-02-26_REVISION - M2002004
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Last modified
12/27/2024 5:38:41 PM
Creation date
2/26/2020 1:33:04 PM
Metadata
Fields
Template:
DRMS Permit Index
Permit No
M2002004
IBM Index Class Name
REVISION
Doc Date
2/26/2020
Doc Name
Adequacy Review Response
From
Resource Hydrogeologic Services
To
DRMS
Type & Sequence
TR7
Email Name
JPL
Media Type
D
Archive
No
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Title: Sampling and Analysis Plan for Environmental Control Number: Revision Date: page 15 of 30 <br /> Groundwater Monitoring PUE.EN.D.026.04 2/19/2020 <br /> The RPD(Relative Percent Difference) is calculated with the following equation: <br /> RPD(%)=(S1-S2)/[(S1+S2)/2] * 100 <br /> where: <br /> S 1 and S2 are the two duplicated values or the highest and lowest values if more than <br /> two sample duplicates are analyzed. <br /> Duplicated sample results that do not meet the above criteria and are not consistent with <br /> historical results are flagged.Flagging is not required when fewer field duplicates than required <br /> are collected, but a QA memo is filed with the data and the incident is noted in the data <br /> transmittal for the sampling event. <br /> 5.2.2 Laboratory Data Verification <br /> Laboratory data reports are reviewed for appropriate QA/QC procedures and data qualifiers. <br /> Applicable U.S. Environmental Protection Agency (EPA) analytical methods encourage <br /> laboratories to develop in-house QA/QC limits, and require adherence to in-house limits for <br /> data reporting, qualifying and corrective actions. Verification of appropriate laboratory <br /> flagging is conducted during data validation. <br /> Although it is the laboratory's responsibility to ensure that its results meet minimum internal <br /> QA/QC standards and are properly flagged, the data validation process also includes the <br /> following checks: <br /> • Confirm that all sample sites and constituents are reported and that there is an <br /> explanation for a missing data point. <br /> • Review the data report and confirm that titles, labels, column headings, and footnotes <br /> are accurate and complete. Confirm that constituents are reported in proper units. <br /> • Review values reported as Non-Detected. Confirm that the analytical detection limits <br /> are low enough to accomplish project goals. Confirm that all values are either reported <br /> as values or less than the detection limit. Confirm that the detection limit is used <br /> consistently on all samples. <br /> • Ensure that the required quality control tests (i.e., preparation and calibration blanks, <br /> laboratory control standards, matrix spikes and duplicate samples) were performed at <br /> the required frequency. If quality control results cannot be obtained from the <br /> laboratory, all associated data are qualified or invalidated. <br /> • Ensure that initial calibration verification and reference sample test results were within <br /> laboratory specified control limits. Any data reported with associated initial calibration <br /> verification or reference standards that are outside of control limits are invalidated. <br /> • Confirm that the laboratory properly qualified(flagged)the data. <br /> • Review data for internal consistency.Confirm that values have a logical relationship to <br /> one another.Confirm that values are within the historical range of data for a given well <br /> and constituent. Confirm that values vary logically according to known geologic <br /> conditions. <br />
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