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REMOVAL_1995
Environmental Health - Public
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2300 - Underground Storage Tank Program
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PR0231422
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REMOVAL_1995
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Entry Properties
Last modified
2/15/2024 3:45:46 PM
Creation date
11/8/2018 9:54:56 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2300 - Underground Storage Tank Program
File Section
REMOVAL
FileName_PostFix
1995
RECORD_ID
PR0231422
PE
2381
FACILITY_ID
FA0003781
FACILITY_NAME
TRACY AIRPORT
STREET_NUMBER
29633
Direction
S
STREET_NAME
TRACY
STREET_TYPE
BLVD
City
TRACY
Zip
95376
APN
25311031
CURRENT_STATUS
02
SITE_LOCATION
29633 S TRACY BLVD
P_LOCATION
03
P_DISTRICT
005
QC Status
Approved
Supplemental fields
FilePath
\MIGRATIONS3\T\TRACY\29633\PR0231422\REMOVAL 1995 .PDF
QuestysFileName
REMOVAL 1995
QuestysRecordDate
8/22/2017 7:03:09 PM
QuestysRecordID
3601039
QuestysRecordType
12
QuestysStateID
1
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EHD - Public
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CHAPTER ONE <br /> QUALITY CONTROL <br /> 1.0 INTRODUCTION <br /> It is the goal of the U.S. Environmental Protection Agency's (EPA's) <br /> quality assurance (QA) program to ensure that all data be scientifically valid, <br /> defensible, and of known precision and accuracy. The data should be of <br /> sufficient known quality to withstand scientific and legal challenge relative to <br /> the use for which the data are obtained. The QA program is management's tool for <br /> achieving this goal . <br /> For RCRA analyses, the recommended minimum requirements for a QA program <br /> and the associated quality control (QC) procedures are provided in this chapter. <br /> The data acquired from QC procedures are used to estimate the quality of <br /> analytical data, to determine the need for corrective action in response to <br /> identified deficiencies, and to interpret results after corrective action <br /> procedures are implemented. Method-specific QC procedures are incorporated in <br /> the individual methods since they are not applied universally. <br /> A total program to generate data of acceptable quality should include both <br /> a QA component, which encompasses the management procedures and controls, as well <br /> as an operational day-to-day QC component. This chapter defines fundamental <br /> elements of such a data collection program. Data collection efforts involve: <br /> 1. design of a project plan to achieve the data quality objectives <br /> (DQOs) ; <br /> 2. implementation of the project plan; and <br /> 3. assessment of the data to determine if the DQOs are meta <br /> The project plan may be a sampling and analysis plan or a waste analysis plan if <br /> it covers the QA/QC goals of the Chapter, or it may be a Quality Assurance <br /> Project Plan as described later in this chapter. <br /> This chapter identifies the minimal QC components that should -be used in <br /> the performance of sampling and analyses, including the QC information which <br /> should be documented. Guidance is provided to construct QA programs for field <br /> and laboratory work conducted in support of the RCRA program. <br /> 2.0 QA PROJECT PLAN <br /> It is recommended that all projects which generate environment-related data <br /> in support of RCRA have a QA Project Plan (QAPjP) or equivalent. In some <br /> instances, a sampling and analysis plan or a waste analysis plan may be <br /> equivalent if it covers all of the QA/QC goals outlined in this chapter. In <br /> addition, a separate QAPjP need not be prepared for routine analyses or <br /> activities where the procedures to be followed are described in a Standard <br /> 4 <br /> ONE - 1 Revision 1 <br /> July 1992 <br />
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