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2011-08-08_REVISION - M1977493 (36)
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2011-08-08_REVISION - M1977493 (36)
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Last modified
8/24/2016 4:36:39 PM
Creation date
8/9/2011 7:40:13 AM
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DRMS Permit Index
Permit No
M1977493
IBM Index Class Name
REVISION
Doc Date
8/8/2011
Doc Name
EPP- Water Quality Monitoring Plan.
From
Climax Molybdenum
To
DRMS
Type & Sequence
TR18
Media Type
D
Archive
No
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• <br />• <br />Water Quality Monitoring Plan Climax Molybdenum Company <br />Version: R1 Permit No. M -1977 -493 <br />After collection of the baseline data, if graphical trends do not suggest declining water quality, <br />no quantitative trend evaluation is needed. However, a trend that does suggest increasing <br />concentrations in parameters will require a more rigorous statistical analysis and further actions <br />by Climax to prevent potential impacts to the receiving water. <br />The approach to determining whether there is a temporal trend will involve the following steps: <br />1. Based on temporal plots of the parameters of concern, define a window of time for <br />evaluating whether a trend exists. <br />2. Develop an approach that corrects for the effects of seasonal effects and that is <br />protective of the receiving waters. In other words, if seasonal peaks occur in <br />concentrations, the evaluation should be performed to determine if there are trends in <br />the peak concentrations. <br />3. Compare the most recent 4 sampling results against the 80th percentile upper prediction <br />limit (UPL). If four consecutive sample results exceed the UPL this fact will be <br />considered along with the other factors in the trend evaluation. Calculation of the 80th <br />percentile UPL will be done using the one -sided Student t test equation (as presented in <br />Section 5.1.2; with a =0.20 and substituting the mean for the NPL for the baseline <br />dataset). <br />4. If a statistical test for a trend is needed, approaches such as Sen's or Mann - Kendall <br />tests (Gibbons, 1994) will be used, if a sufficient number of samples are available to <br />apply these tests. <br />5.2.3.2 Outlier Identification <br />Outlier results can and do occur in environmental monitoring. Because monitoring of internal <br />monitoring sites is being performed to detect changes in the water quality that may impact uses <br />of Eagle Park Reservoir or Clinton Reservoir, a careful evaluation of the data will be necessary. <br />The general practice will be to not remove outliers from the water - quality database, but to <br />consider them in the visual and statistical trend evaluations. However, Climax will perform <br />outlier testing using Rosner's outlier or other applicable test, considering the size of the <br />available sample set and the validity of statistical tests for the circumstance, and report the <br />results in its annual monitoring report. Test results identified as `outlier" will be maintained in <br />the monitoring database. <br />5.2.3.3 Increase Monitoring Frequency <br />If recent sampling results suggest that the water quality may be declining, in consideration of the <br />evaluations described in Section 5.2.3.1, the sampling frequency at the identified sampling site <br />may be increased to monthly, to better define changes that may be occurring. Samples will be <br />collected during the period of the year when weather and site conditions allow access. This <br />more frequent sampling schedule will be maintained until DRMS and Climax agree that the <br />sampling period can be lengthened. For example, if monthly monitoring shows that the poorer <br />quality sample was a temporary excursion and not indicative of a longer term trend, there would <br />not be a need to continue the monthly sampling. Similarly, if the monthly sampling <br />demonstrates that a trend is occurring and the data indicate that the trend is relatively <br />consistent, quarterly or biannual sampling would be appropriate to monitor its behavior. <br />EPP — Appendix C <br />August, 2011 20 <br />
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