My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
WORK PLANS
EnvironmentalHealth
>
EHD Program Facility Records by Street Name
>
W
>
WASHINGTON
>
2560
>
2900 - Site Mitigation Program
>
PR0548313
>
WORK PLANS
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
6/23/2026 2:41:20 PM
Creation date
6/23/2026 2:19:12 PM
Metadata
Fields
Template:
EHD - Public
ProgramCode
2900 - Site Mitigation Program
File Section
WORK PLANS
RECORD_ID
PR0548313
PE
2960 - RWQCB LEAD AGENCY CLEAN UP SITE
FACILITY_ID
FA0027581
FACILITY_NAME
TESORO STOCKTON TERMINAL
STREET_NUMBER
2560
Direction
W
STREET_NAME
WASHINGTON
STREET_TYPE
ST
City
STOCKTON
Zip
95203
APN
14503012
CURRENT_STATUS
Active, billable
QC Status
Approved
Scanner
SJGOV\gmartinez
Supplemental fields
Site Address
2560 W WASHINGTON ST STOCKTON 95203
Tags
EHD - Public
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
99
PDF
Print
Pages to print
Enter page numbers and/or page ranges separated by commas. For example, 1,3,5-12.
After downloading, print the document using a PDF reader (e.g. Adobe Reader).
View images
View plain text
Programmatic Sampling and Analysis Plan Project Number:60657245 <br /> management tasks are responsible for verifying the data each task generates or handles. The <br /> field and laboratory tasks ensure the verification of raw data, electronically generated data, and <br /> data on chain-of custody forms. The data management task deals primarily with electronic data. <br /> Validation and verification of data will be performed by staff using primary and peer review, <br /> followed by technical review by the AECOM project manager or designated staff. The assigned <br /> project QA Officer will be responsible for validating that the verified data are usable. The QA <br /> Officer will evaluate the data for anomalies and address any suspected errors or anomalous data <br /> before data validation can be completed. <br /> 2.4.3 Reconciliation With User Requirements <br /> Assessment of the data quality will determine if project objectives have been met. Data validation <br /> will document any data that do not meet the quality criteria and the associated effects on usability. <br /> This assessment will include deviations to the SAP, effectiveness of the data collection and <br /> generation processes, QC issues related to the laboratory analysis or sampling activities, and <br /> identify limitations to the data, including data determined to be unusable. Data that do not satisfy <br /> the DQOs will be evaluated to determine the impacts on usability and if corrective actions are <br /> warranted. Corrective measure may include resampling to ensure data are legally defensible and <br /> meet the DQOs. <br /> Data Management <br /> The project data management scheme begins in the field with initial collection of the data. All <br /> field data shall be recorded by field personnel in bound logbooks for each site or on sample <br /> collection log sheets for each sample collected at each site sample location. Pages of the logbook <br /> will be consecutively numbered. Data initially collected (i.e., depth to groundwater, temperature, <br /> electric conductivity, pH, and turbidity)shall be converted to standard reporting units and recorded <br /> in standard formats. Mistakes are lined out, initialed and correctly re-entered. <br /> Data shall be reviewed by the site project manager for clarity, completion, translation, or <br /> transcription errors. Other notes for a given project, including records of communication and <br /> meetings, are kept filed by the contractor project manager. Notes which are kept confidential are <br /> filed separately but within project files and kept in a secured location. <br /> Once the samples have been collected in the field, they will be subjected to the sample handling <br /> and custody requirements detailed in Section 8. <br /> Laboratory analytical reports will include QC results and any other necessary analytical <br /> information to enable reviewers to determine the data quality. The criteria for validation and <br /> verification is outlined in Section 2.4.1. <br /> AECOM <br /> 9 <br />
The URL can be used to link to this page
Your browser does not support the video tag.