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CORRESPONDENCE_1990-1993
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4400 - Solid Waste Program
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PR0440005
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CORRESPONDENCE_1990-1993
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Last modified
4/17/2023 4:13:34 PM
Creation date
10/17/2022 1:45:46 PM
Metadata
Fields
Template:
EHD - Public
ProgramCode
4400 - Solid Waste Program
File Section
CORRESPONDENCE
FileName_PostFix
1990-1993
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
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EHD - Public
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STANDARD PROVISIONS AND REPORTING REQUIREMENTS September 1993 <br /> FOR WASTE DISCHARGE REQUIREMENTS <br /> FOR DISCHARGES REGULATED BY CHAPTER 15 AND/OR PART 258 -10- <br /> Upon receiving written approval from the Executive Officer, alternate statistical procedures may be <br /> used for determining the significance of analytical results for common laboratory contaminants <br /> (i.e., methylene chloride, acetone, diethylhexyl phthalate, and di-n-octyl phthalate). Nevertheless, <br /> analytical results involving detection of these analytes in any background or downgradient sample <br /> shall be reported and flagged for easy reference by Board staff. <br /> For any given data set, the Discharger should proceed sequentially down the list below of statistical <br /> analysis methods, followed by the non-statistical method, and use the first method for which the <br /> data qualify. If that analysis tentatively indicates the detection of a release, then the Discharger shall <br /> implement the retest procedure under Discrete Retest. <br /> 1. The Discharger shall use one of the following statistical methods to analyze Constituents of <br /> Concern or Monitoring Parameters which exhibit concentrations equal to or exceeding their <br /> respective MDL in at least ten percent of the background samples taken during the Reporting <br /> Period. Except for pH, which uses a two-tailed approach, the statistical analysis for all <br /> constituents and parameters shall be one-tailed (i.e. testing only for statistically significant <br /> increase relative to background). If the data are log-normally distributed, then the data shall be <br /> transformed, by replacing each data point with the natural log (In) of the data point, prior to <br /> performing the statistical test. <br /> a. The One-Way Parametric Analysis of Variance (ANOVA), followed by multiple <br /> comparisons, shall be used when the pooled background data for the parameter or <br /> constituent, obtained during a given sampling period, have not more than 15% of the data <br /> below the PQL. <br /> This test requires at least four independent samples from each Monitoring Point and <br /> Background Monitoring Point during each sampling episode. Prior to analysis, replace <br /> all"trace" analytical results with a value halfway between the PQL and the MDL values <br /> reported for that sample run, and replace all "non-detect" results with a value equal to <br /> half the MDL value reported for that sample run. The ANOVA shall be carried out at the <br /> 95% confidence level. Following the ANOVA, the data from each downgradient <br /> Monitoring Point shall be tested at a 99% confidence level against the pooled background <br /> data. If these multiple comparisons cause the Null Hypothesis (i.e., that there is no <br /> release) to be rejected at any Monitoring Point, the Discharger shall conclude that a <br /> release is tentatively indicated for that parameter or constituent. <br /> b. The One-Way Non-Parametric ANOVA(Kruskal-Wallis Test), followed by multiple <br /> comparisons, shall be used when the pooled background data for the parameter or <br /> constituent, obtained within a given sampling period, have not more than 50% of the data <br /> below the PQL. <br /> This method requires at least nine independent samples from each Monitoring Point and <br /> Background Monitoring Point; therefore, the Discharger shall anticipate the need for <br />
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