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PERMFILE43494
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PERMFILE43494
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Entry Properties
Last modified
8/24/2016 10:45:57 PM
Creation date
11/20/2007 11:35:37 AM
Metadata
Fields
Template:
DRMS Permit Index
Permit No
M1980244
IBM Index Class Name
Revision
Doc Date
5/31/2002
Doc Name
Supplemental Information to Technical Revision No. 40
From
Cripple Creek & Victor Gold
To
DMG
Type & Sequence
TR40
Media Type
D
Archive
No
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28,2002 -5- 003-2203 <br />2.0 WATER BALANCE MODEL -GENERAL DESCRIPTION <br />A revised water balance analysis was completed to quantify the probable volume of solution <br />within the VLF over time due to normal processing, water gained by precipitation, lost to <br />evaporation, and moisture retained in the ore matrix. The monthly model was developed for <br />the period from January 1995 through January 2020 for the entire VLF. The last 8 yeazs of <br />the model simulates the cyclic climatic conditions that could develop when the facility is <br />being leached, rinsed, and the loss of moisture to ore wetting no longer occurs. <br />As identified in Amendment No. 8, the water balance model is based on the following <br />equation: <br />where: <br />BS+p+OMoEL=E+OMFC+PS <br />BS = the barren solution applied to the ore <br />P = the precipitation that falls directly onto the ore <br />OMoet,= moisture contained in the matrix of the ore delivered to the VLF <br />E = evaporation loss from the active and inactive leaching areas <br />OMFC = moisture contained in the matrix of the ore at field capacity after <br />leaching and draindown <br />PS = pregnant solution pumped from.the PSSAs to the ADR. <br />The water balance equation was set-up as an Exce1T"' spreadsheet model to track solution <br />flow within the Phase I, Phase II, Phase III, and Phase IV areas of the VLF. Since <br />precipitation and evaporation vary month by month and from yeaz to year, a probabilistic <br />approach was used for the water balance. This variability or uncertainty in the amount of <br />precipitation from month to month was accounted for in the water balance model through the <br />use of an internally linked, variability-based softwaze program (Crystal Ba11T"'). Probability <br />distribution functions were developed for precipitation and evaporation using actual historic <br />climatological data, combined with recent site climatological data from the Cresson Project. <br />maoazo~w,oo~rxawrxenwsaaoo3zzo~.Oaoo.oJ6zo.000 Golder Associates <br />
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