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achieve a false positive rate of 1 percent or less, which is required by CCR Title 23, Chapter 15, <br /> Article 5 guidelines. Thus, when the alpha level was higher than 1 percent, the concentration limit <br /> was not established and data was compared to established limits in the Waste Discharge <br /> Requirements. <br /> Nonstatistical Approach <br /> When the background data set contains 100 percent nondetect values, Sanitas applies the <br /> nonstatistical approach. This approach takes into consideration that if historically a constituent has <br /> not been detected, any detection of that constituent would be considered an exceedance. Thus, in <br /> these situations (100 percent nondetected values), the tolerance limit is set at"detect", meaning that <br /> if a value is detected above its method detection limit, this value is an exceedance of the <br /> concentration limit. <br /> Intrawell Rank Sum <br /> When Intrawell Tolerance Limit analysis is unable to normalize the data and thus a nonparametric <br /> analysis is performed, the false positive rate becomes greater than five percent. When this happens, <br /> the data is compared to the concentration limit listed in the WDRs, if any. In addition, an Intrawell <br /> Rank Sum analysis is performed. This is a nonparametric procedure where the sums of ranked data <br /> sets are compared. Subsequent sample data are compared with sampling data from the initial <br /> monitoring period of the same well. It is assumed that during the initial monitoring period the well <br /> has shown no evidence of contamination or an increasing trend. This test procedure is used to <br /> evaluate whether the historical (background data) and the compliance data have the same median <br /> constituent concentration. <br /> Trend Analysis <br /> Sen's Slope measures the change in constituent concentrationsp er unit time. Sen's method is not <br /> greatly affected by outliers, and the slope can be computed when data are missing. Sen's estimator <br /> is closely related to the Mann-Kendall test, which is a nonparametric rank correlation test for trend. <br /> The test uses only the relative magnitudes of the data rather than their actual values; therefore, <br /> missing values are allowed, and constituents that are reported as less than the detection limit can be <br /> used by assigning them values equal to half the detection limit. Sen's Slope and the Mann-Kendall <br /> tests are described in"Statistical Methods for Environmental Pollution Monitoring,"Richard O. <br /> Gilbert, Van Nostrand Reinhold, New York, 1987. Mann-Kendall test is recommended in "An <br /> Evaluation of Trend Detection Techniques for use in Water Quality Monitoring Programs,"Jim C. <br /> Loftis, et al. (USEPA), 1989. <br /> For the Harney Lane Sanitary Landfill, the null hypothesis is "no statistically significant trend in <br /> constituent concentrations." The null hypothesis is rejected if trends in the data are significant at <br /> alpha = 0.05, which is the probability of rejecting the null hypothesis of no trend when it is true (i.e., <br /> a Type 1 error). Sanitas is used to calculate both the Sen's Slope and the Mann-Kendall test for <br /> trends. <br /> Harney Lane Sanitary Landfill Department of Public Works/Solid Waste <br /> 1 Quarter 2007 Groundwater Monitoring Report County of San Joaquin—April 15,2007 <br /> D-2 <br />