My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
ARCHIVED REPORTS_2013_6
EnvironmentalHealth
>
EHD Program Facility Records by Street Name
>
A
>
AUSTIN
>
9999
>
4400 - Solid Waste Program
>
PR0440005
>
Archived Reports
>
ARCHIVED REPORTS_2013_6
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
7/17/2020 3:53:43 PM
Creation date
7/3/2020 10:57:18 AM
Metadata
Fields
Template:
EHD - Public
ProgramCode
4400 - Solid Waste Program
File Section
ARCHIVED REPORTS
FileName_PostFix
2013_6
RECORD_ID
PR0440005
PE
4433
FACILITY_ID
FA0004516
FACILITY_NAME
FORWARD DISPOSAL SITE
STREET_NUMBER
9999
STREET_NAME
AUSTIN
STREET_TYPE
RD
City
MANTECA
Zip
95336
APN
20106001-3, 5
CURRENT_STATUS
01
SITE_LOCATION
9999 AUSTIN RD
P_LOCATION
99
P_DISTRICT
004
QC Status
Approved
Scanner
SJGOV\rtan
Supplemental fields
FilePath
\MIGRATIONS\SW\SW_4433_PR0440005_9999 AUSTIN_2013_6.tif
Tags
EHD - Public
Jump to thumbnail
< previous set
next set >
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
225
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
0 APPENDIX D <br />STATISTICAL ANALYSIS METHODS FOR THE FORWARD LANDFILL <br />Statistical analysis of water quality monitoring data collected at the Forward Landfill was <br />conducted by Geo -Logic Associates (GLA) in accordance with protocols outlined in WDR Order <br />No. R5-2003-0049 issued by the Central Valley RWQCB and Code of Federal Regulations, Title <br />40, Part 258 (40 CFR 258) and California Code of Regulations (CCR) Title 27, Section 20415. <br />The statistical analyses were performed with historical statistical algorithms that recognize that <br />groundwater quality data may be correlated through time (in contrast, non -historical statistics rely <br />on the data not being correlated). The statistical analyses described below were performed with <br />the Sanitas statistical software program, which performs user -determined statistical analyses <br />using methods recommended by the California State Water Resources Control Board (SWRCB) <br />and the United States Environmental Protection Agency (EPA). <br />TOLERANCE LIMITS <br />In accordance with WDR Order No. R5-2003-0049, it was determined that an intrawell statistical <br />comparison was most appropriate for all groundwater monitoring wells at the Forward Unit, <br />while interwell statistical comparison were used for DMP wells at the Austin Unit. For the <br />statistical comparisons, the tolerance limits method described in the USEPA's 2009 Unified <br />Guidance Document, "Statistical Analysis of Ground Water Monitoring Data at RCRA <br />Amk Facilities" was used to establish concentration limits (CLs) for the Forward and Austin Units. <br />A tolerance limit is a statistical method used to compare a single observation to a group of <br />observations. For groundwater monitoring, a tolerance limit may be used to make a comparison <br />between background and compliance data. The tolerance limit is calculated to contain all future <br />observations, within a specified confidence. If any future observation exceeds the tolerance <br />limit, this is statistically significant evidence of contamination. For the Forward Unit, intrawell <br />tolerance limits were developed based on a 95% confidence (with a false positive rate of 5 <br />percent) that future observations will fall below the limit. For the Austin Unit DMP wells, <br />interwell tolerance limits were developed based on a 95% confidence (with a false positive rate <br />of 5 percent) that future observations will fall below the limit. Statistical calculations are based <br />on the procedures described in the USEPA's 2009 Unified Guidance Document (USEPA, 2009). <br />The tolerance limit is defined as: <br />PL=X+KS <br />Where, the mean background observations (X) and standard deviation (S) of background <br />observations are calculated for the raw or transformed background data and a one-sided (two- <br />sided for pH) tolerance factor (K) is specified at the 95% confidence level. <br />0 CA2013-0021WppendixDStatadoc D-1 Geo -Logic Associates <br />
The URL can be used to link to this page
Your browser does not support the video tag.