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2016-10-14_REVISION - C1981041 (2)
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2016-10-14_REVISION - C1981041 (2)
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Last modified
10/24/2016 9:27:11 AM
Creation date
10/24/2016 7:35:34 AM
Metadata
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Template:
DRMS Permit Index
Permit No
C1981041
IBM Index Class Name
Revision
Doc Date
10/14/2016
Doc Name
SCC Response to Pond 11 Exclusion
From
Snowcap Coal Company
To
DRMS
Type & Sequence
SL9
Email Name
JLE
DIH
Media Type
D
Archive
No
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species), litter, (including standing dead), rock (>2mm), or bare soil. Hits were determined at each <br />meter interval by activating a battery of 10 low-energy specialized lasers situated along the bar at 10 <br />centimeter intervals and recording the variable intercepted by each of the narrowly focused (0.02' <br />beams (Figure 1). In this manner, a total of 100 intercepts per transect were recorded resulting in 1 <br />percent cover per intercept. This methodology and instrumentation facilitates the collection of the most <br />unbiased, repeatable, and precise ground cover data possible. To facilitate diversity calculations, second <br />hits were recorded when an overstory shrub stratum was present. However, these second hits were not <br />included in the determination of ground cover. <br />2.3 Sample Adequacy Determination <br />Sampling within each unit (Phase II Bond Release Block or Reference Area) was conducted to a <br />minimum of 30 cover and production samples. From these preliminary efforts, sample means and <br />standard deviations for total non -overlapping vegetation ground cover were calculated. The Cochran <br />formula (below) for determining sample adequacy was used to calculate nmin, whereby the population is <br />estimated to within 10% of the true mean (p) with 90% confidence. <br />When the inequality (nmin <_ n) is true, sampling is deemed adequate; and nmin is determined as <br />follows: <br />nmin = (t 25 2) / (0.1 X )2 <br />where: n = the number of actual samples collected (initial size = 27/30) <br />t = the value from the one -tailed t distribution for 90% confidence with n-1 <br />degrees of freedom; <br />s Z = the variance of the estimate as calculated from the initial samples; <br />x = the mean of the estimate as calculated from the initial samples. <br />If the initial samples do not provide a suitable estimate of the mean (i.e., the inequality is false), a <br />reverse null success evaluation which does not require adequacy would be employed (Rule 4.15.11 <br />(2)(c)). Sample adequacy results are presented on Table 1. <br />5 Revised 10/16 <br />
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