My WebLink
|
Help
|
About
|
Sign Out
Home
Browse
Search
PERMFILE67186
DRMS
>
Back File Migration
>
Permit File
>
700000
>
PERMFILE67186
Metadata
Thumbnails
Annotations
Entry Properties
Last modified
8/24/2016 11:12:58 PM
Creation date
11/20/2007 9:45:34 PM
Metadata
Fields
Template:
DRMS Permit Index
Permit No
C1981028
IBM Index Class Name
Permit File
Doc Date
6/15/2006
Doc Name
Revegetation Success Criteria
Section_Exhibit Name
Appendix TR-37
Media Type
D
Archive
No
There are no annotations on this page.
Document management portal powered by Laserfiche WebLink 9 © 1998-2015
Laserfiche.
All rights reserved.
/
116
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
predictive equations for the reclamation azeas from 2002-2004 was that of a broadly <br />concave mathematical curve originating with a low rate of total cover accumulation and <br />gradually accelerating through increasing levels of precipitation, still gradually accelerating <br />in increase at the highest level of precipitation encountered in the data set. <br />With the addition of data from 2002 forward, high levels of correlation were obtained in <br />2002 and 2003 (RZ values of 0.9867 and 0.9341 respectively), while a significant decrease <br />in the level of correlation occurred with the inclusion of the 2004 data (RZ value of <br />0.4671). <br />3.2.2.2 Total Herbaceous Production <br />Figures AIO through A12 portray the relationship of total herbaceous production in the <br />1995, 1997, and 1998 Reclamation Areas and cumulative September-July precipitation for <br />the years subsequent to the 2002 investigation. Each subsequent plot adds one yeaz of <br />production and precipitation data and portrays the accompanying best-fit curve with <br />corresponding equation and correlation coefficient. <br />Total herbaceous production predictive equations at the reclamation areas were more <br />varied in character than was observed in the 2002 investigation, or for any other <br />parameter. In the 2002 data set (Figure A10), a third order polynomial equation provided <br />a high level of correlation (RZ value of 0.8949), yet the significant inflexion in the middle <br />range of the precipitation range was not explained in the field or by theory. The second <br />• highest level of correlation (RZ= 0.7562) was provided by a logarithmic exponential <br />equation of a broadly concave nature. <br />In 2003, the best-fit predictive equation was an exponential equation of a broadly concave, <br />nearly linear nature (Figure All). The RZ value of 0.7238 revealed a lower correlation <br />level than that from the 2002 data set. <br />The addition of 2004 data (Figure A12) showed a similar condition as the 2002 data set. <br />A third order polynomial equation provided the highest level of correlation for the year <br />(RZ value 0.5364), yet the significant inflexion in the middle range of the precipitation <br />range was not explained in the field or by theory. The second highest level of correlation <br />(R2= 0.4716) was provided by a second order polynomial equation of a broadly concave <br />nature. <br />4.0 DISCUSSION <br />4.1 Osgood Sand Reference Area <br />4.1.1 Total Vegetation Cover <br />Plotting the 2002-2004 total vegetation cover data from the Osgood Sand Reference Area <br />• did not reveal any significant changes to the overall shape of the plotted best-fit predixive <br />Coors Energy Comparry Keenesburg Mine Page 7 <br />2005 Addendum to Revision of Revegetation Success Criteria <br />
The URL can be used to link to this page
Your browser does not support the video tag.