ANL-NBS-HS-000027 REV 01 10 October 2003 

Analysis of Infiltration Uncertainty 
1. PURPOSE 
1.1 PURPOSE OF THE SCIENTIFIC ANALYSIS 
The primary objectives of this uncertainty analysis are: (1) to develop and justify a set of 
uncertain parameters along with associated distributions; and (2) to use the developed uncertain 
parameter distributions and the results from selected analog site calculations done in Simulation 
of Net Infiltration for Modern and Potential Future Climates (USGS 2001 [160355]) to obtain 
the net infiltration weighting factors for the glacial transition climate. These weighting factors 
are applied to unsaturated zone (UZ) flow fields in Total System Performance Assessment 
(TSPA), as outlined in the Total System Performance Assessment-License Application Methods 
and Approach (BSC 2002 [160146], Section 3.1) as a method for the treatment of uncertainty. 
This report is a scientific analysis because no new and mathematical physical models are 
developed herein, and it is based on the use of the models developed in or for Simulation of Net 
Infiltration for Modern and Potential Future Climates (USGS 2001 [160355]). Any use of the 
term model refers to those developed in the infiltration numerical model report. 
TSPA License Application (LA) has included three distinct climate regimes in the 
comprehensive repository performance analysis for Yucca Mountain: present-day, monsoon, and 
glacial transition. Each climate regime was characterized using three infiltration-rate maps, 
including a lower- and upper-bound and a mean value (equal to the average of the two boundary 
values). For each of these maps, which were obtained based on analog site climate data, a 
spatially averaged value was also calculated by the USGS. For a more detailed discussion of 
these infiltration-rate maps, see Simulation of Net Infiltration for Modern and Potential Future 
Climates (USGS 2001 [160355]). For this Scientific Analysis Report, spatially averaged values 
were calculated for the lower-bound, mean, and upper-bound climate analogs only for the glacial 
transition climate regime, within the simulated multi-rectangular region approximating the 
repository footprint, shown in Figure 1-1. (For brevity, these maps will be referred to as the 
analog maps, and the corresponding averaged net infiltration values as the analog values.) 
Infiltration is treated as a probabilistic process in this scientific analysis. Probabilistic 
considerations are needed to account for the variability and uncertainty of parameters (BSC 2002 
[158794], Section 4.1): 
Variability, also referred to as aleatoric uncertainty, arises due to natural randomness or 
heterogeneity. This type of uncertainty cannot be reduced through further testing and data 
collection; it can only be better characterized. Thus, this first type of uncertainty is also 
referred to as irreducible uncertainty. It is typically accounted for using geostatistical 
approaches, e.g., using appropriate probability distribution functions. 
Uncertainty, also referred to as epistemic uncertainty, arises from the lack of knowledge 
about parameters because the data are limited or there are alternative interpretations of 
the available data. This type of uncertainty can be reduced because the state of 
knowledge can be improved by further testing or data collection. As a consequence, this 
type of uncertainty is also referred to as reducible uncertainty. 
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Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 12 October 2003 
In this Scientific Analysis Report, we consider both aleatoric and epistemic uncertainty. This 
analysis incorporates the uncertainty inherent in probabilistic parameters (Rechard 1996 
[125981], p. 4-3) by assigning a range of values and a distribution type to select infiltration 
model input parameters, using known site characterization data, expert judgment, and analog site 
data records. The parameters analyzed in this report account for the majority of uncertainty in 
the output infiltration rates. This report incorporates both epistemic and aleatoric uncertainties, 
and the resulting uncertainty should be considered as combined epistemic/aleatoric uncertainty. 
A detailed description of uncertainty input data and the justification for using the corresponding 
uncertain distributions is found in Section 6. 
4076000407700040780004079000408000040810004082000547000548000549000550000551000Easting (m, UTM)
Northing (m, UTM)
2000 Infiltration Uncertainty . 
Analysis Footprint2003 Design Drift Ends2003 Design Footprint . 
Perimeter 
Infiltration Numerical . 
Model Grid2003 Infiltration Uncertainty Analysis . 
Footprint (see Figures IV-2, IV-3) 
NOTE: Outline of multi-rectangular area (relative to actual engineering design repository footprint) used in 
uncertainty analysis of infiltration (see caption with arrow beneath legend). UTM coordinates supplied by 
800-IED-EBS0-00402-000-00B (BSC 2003 [161727]). The original coordinates, in Nevada state plane 
coordinates (central zone) with meters as units are converted to UTM coordinates using EARTHVISION 
V5.1 (Dynamic Graphics 2000 [152614]), see Attachment VI. The repository perimeter schematic is from 
800-IED-EBS0-00401-000-00C (BSC 2003 [162289]). The schematic is for illustrative purposes only. The 
Numerical Model Grid depicted here is a portion of the numerical grid used by the USGS for the infiltration 
calculations zone in ANL-NBS-HS-000032 REV00 ICN02 (USGS 2001 [160355]). 
Figure 1-1. Modeled Region and Repository Footprint 

Analysis of Infiltration Uncertainty U0095 
Four non-overlapping contiguous rectangular regions were used as an approximation of the 
loaded regions geometry (Attachment IV). Note that the repository footprint changed in 2003 
and is now different from that used in the last version of Analysis of Infiltration Uncertainty 
(CRWMS M&O 2000 [143244]) and in Simulation of Net Infiltration for Modern and Potential 
Future Climates (USGS 2001 [160355]). 
1.2 LIMITATIONS 
The uncertainty analysis performed here is limited to include the propagation of a subset of input 
parameters characterized, stochastically, as a probability function, through a numerical model 
used for predicting the net infiltration. 
1.3 TWP REQUIREMENTS 
This Scientific Analysis Report has been prepared in accordance with AP-SIII.9Q, Scientific 
Analyses and in accordance with the Technical Work Plan for: Performance Assessment 
Unsaturated Zone (BSC 2002 [160819]), with specific regard to Section 1.10.8, Paragraph 3. 
According to the technical work plan (TWP), the report includes development and justification 
of uncertainty parameters for the model developed in Simulation of Net Infiltration for Modern 
and Potential Future Climates (USGS 2001 [160355]) and evaluates the uncertainty in 
infiltration-rate maps. 
Only the Technical Error Report, TER-02-093, as directed in the Technical Work Plan for: 
Performance Assessment Unsaturated Zone (BSC 2002 [160819], Section 1.10.8, paragraph 3) is 
addressed in this report (Section 6.1.2.1, Table 6-3). The two Technical Error Reports, TER-02-
013 and TER-02-095 will not be discussed in this report but in the planned revision of 
Simulation of Net Infiltration and Potential Future Climates (USGS 2001 [160355]). 
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Analysis of Infiltration Uncertainty U0095 
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Analysis of Infiltration Uncertainty U0095 
2. QUALITY ASSURANCE 
Development of this analysis report and the supporting analyses have been determined to be 
subject to the OCRWM quality assurance program (BSC 2002 [160819], Section 8.2, Work 
Package (WP) AUZM06). Approved quality assurance procedures identified in the technical 
work plan (BSC 2002 [160819], Section 4) have been used to conduct and document the 
activities described in this analysis report. The technical work plan also identifies the methods 
used to control the electronic management of data (BSC 2002 [160819], Section 8.4, WP 
AUZM06) during the analysis and documentation activities. 
This Scientific Analysis Report provides weighting factors for net infiltration through surficial 
soils and fractured rock of the unsaturated zone, which are a natural barrier and are classified in 
the Q-List (BSC 2003 [165179]) as SC (Safety Category) because they are important to waste 
isolation, as defined in AP-2.22Q Classification Analyses and Maintenance of the Q-List. The 
results of this report are important to the demonstration of compliance with the postclosure 
performance objectives prescribed in 10 CFR 63.113 [156605]. The report contributes to the 
analysis data used to support performance assessment; the conclusions do not directly impact 
engineered features important to safety, as defined in AP-2.22Q. 
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Analysis of Infiltration Uncertainty U0095 
3. USE OF SOFTWARE 
The following two subsections describe the software used in this analysis. All of the controlled 
software items used are in FORTRAN and compiled with the FORTRAN 77 compiler, with the 
exception of INFIL VA_2.a1 (SNL 2001 [147608]), which was compiled with the FORTRAN 
90 compiler and GSLIB HISTPLT V. 2.01, which is compiled with Lahey FORTRAN. All 
FORTRAN software was used on Platform COMPAQ Alpha and Operating System Open VMS 
AXP V7.3 at Sandia National Laboratories (SNL) with the exception of GSLIB HISTPLT 
V.2.01, which is run on a PC using a Windows 2000 operating system. 
3.1 SOFTWARE CODES 
The analyses includes the use of two Level A computer codes as noted in Table 3-1 and as 
described below: 
 INFIL VA_2.a1 (SNL 2001 [147608], compiled under FORTRAN90), a modified 
version (specifically to run on the platform described above in the introduction to 
Section 3) of INFIL V2.0 (USGS 2001 [139422]), performs modeling of net infiltration 
rate, using climatic and hydrological data. INFIL V. 2.0 will be discussed throughout the 
document, but is for reference only. 
 Latin Hypercube Sampling (LHS V2.50) (SNL 2000 [147277]), which is a form of the 
stratified Monte Carlo technique, used in this report to perform a sampling of uncertain 
input parameters. 
These two software codes are qualified and baselined for use in the Yucca Mountain Project 
License Application (LA) Performance Assessment (PA) according to AP-SI.1Q, Software 
Management. Software User Requests (SURs) were submitted to the Software Configuration 
Management (SCM) to acquire the LHS V2.50 (SNL 2000 [147277]) and INFIL VA_2.a1 (SNL 
2001 [147608]) for the calculations performed in this analysis. These software codes are 
appropriate for the intended use and have been used strictly in the range of validation performed. 
Several FORTRAN software items (each consisting of multiple subroutines) were utilized for 
this analysis, which can be characterized as either a preprocessor or postprocessor. Software 
used in this analysis is listed in Table 3-1. Included are five codes acquired from Waste Isolation 
Pilot Project (WIPP) and three developed codes. Two of the developed software items include a 
preprocessor, PREINFIL V1.20 (SNL 2003 [163674]), and postprocessor, POSTINFIL V2.50 
(SNL 2003 [163676]) for the code INFIL VA_2.a1 (SNL 2001 [147608]). In addition, the 
software PRELHS V2.02 (SNL 2003 [163673]) was developed as a preprocessor for LHS V2.50 
(SNL 2000 [147277]) (this version was originally developed, though never qualified for use, in 
WIPP PA). These software were developed and used on the platform COMPAQ Alpha running 
Open VMS AXP V7.3 (owned by the WIPP program) at SNL. This platform was approved for 
use in YMP LA. These software were qualified as either acquired or developed (as appropriate), 
Level B codes, under AP-SI.1Q, Software Management and AP-SI.3Q, Software Independent 
Verification and Validation. 
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Analysis of Infiltration Uncertainty U0095 
The three software items CAMCON_LIB V2.19 (SNL 2003 [164055]), CAMDAT_LIB V1.24 
(SNL 2003 [164056]), and CAMSUPES_LIB V2.21 (SNL 2003 [164057]) are software libraries 
that have modules used by the software items described below. 
Much of the software described below will read and write to a binary file referred to as a 
Computational Database. The computational database (CDB) file serves throughout the 
analysis as a dynamically changing reservoir of information from which the final steps of the 
uncertainty analysis can be accomplished. The CDB file also maintains a set of information 
records that includes a complete history of what and when codes have written information to it. 
This CDB file is used solely for the computational advantages of storing and maintaining 
information in a binary form. (See Attachment I, Listing of Sample Input for Software, for 
examples of input control files and further elucidation of the interaction of these codes.) 
The software item PRELHS V2.02 (SNL 2003 [163673]) reads a file that contains the uncertain 
distribution parameters (developed for this Scientific Analysis Report) and automatically creates 
the input file for LHS V2.50 (SNL 2000 [147277]), the sampling engine. POSTLHS V4.07 
(SNL 2003 [163675]) uses the output from LHS V2.50 (SNL 2000 [147277]) to a new CDB file 
of sampled input parameters. 
Another software item used in this analysis is GROPECDB V2.12. This software item is used 
for display of binary information only (information found in CDB files) and is exempt from 
qualification according to Section 2.1.2 of AP-SI.1Q. A copy is maintained in SCM. It is not 
included in Table 3-1. 
The software item PREINFIL V1.20 (SNL 2003 [163674]) was developed to automate the 
process of producing numerous realizations of input control files for INFIL VA_2.a1 (SNL 2001 
[147608]), each containing a unique set of values for the sampled parameters. This enabled 
rapid and accurate transfer of information, in an automated environment, between LHS V2.50 
(SNL 2000 [147277]) whose output is processed by POSTLHS V4.07 (SNL 2003 [163675]) and 
the input control file used by INFIL VA_2.a1 (SNL 2001 [147608]). In addition, PREINFIL 
V1.20 (SNL 2003 [163674]) transfers the designated filenames for both the pointwise and 
summary output infiltration rate files (as will be produced by INFIL VA_2.a1 (SNL 2001 
[147608])) into the same input control file. 
The software item POSTINFIL V2.50 (SNL 2003 [163676]) was developed to automate the 
transfer of selected output, including the spatially averaged infiltration rate and the number of 
cells within the approximated repository footprint for each watershed simulated, to intermediate 
CDB files (see Section 4.1.5 describing watersheds). It processes the pointwise infiltration rate 
file output from INFIL VA_2.a1 (SNL 2001 [147608]) and calculates the spatial average net 
infiltration rates for only those cells found within the multi-rectangular region for a specified 
watershed. It then writes that information to an output CDB file for each realization. The output 
CDB file also contains all the sampled parameter values for that realization. Initially, the input 
CDB file for POSTINFIL V2.50 (SNL 2003 [163676]) is produced by POSTLHS V4.07 (SNL 
2003 [163675]) (for each realization). POSTINFIL V2.50 (SNL 2003 [163676]) will then use, as 
input, the CDB file produced from the previously calculated watershed. The output CDB will 
then contain, in addition to the infiltration results for the presently specified watershed, the 
infiltration results from all the previously analyzed watersheds as well. Thus, POSTINFIL 
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Analysis of Infiltration Uncertainty U0095 
V2.50 (SNL 2003 [163676]) processes the net infiltration output until the net infiltration output 
(the spatial averages, etc.) from all the watersheds are contained in a single CDB file, for each 
realization. 
The software item EARTHVISION V5.1 (Dynamic Graphics 2000 [152614]) was used with 
regards to original coordinates, in Nevada state plane coordinates (central zone) with meters as 
units, which were converted to UTM coordinates (see Figure 1-1 and Attachment VI). 
Table 3-1. Qualified Software Used in the Uncertainty Analysis of Net Infiltration Rates in This 
Scientific Analysis Report 
Software Name and Version Software Tracking Number 
(STN) 
DIRS Reference 
Number 
CAMCON_LIB* V2.19 10992-2.19-00 164055 
CAMDAT_LIB* V1.24 10991-1.24-00 164056 
CAMSUPES_LIB* V2.21 10990-2.21.00 164057 
PRELHS V2.02 10981-2.02-00 163673 
POSTLHS* V4.07 10989-4.07-00 163675 
PREINFIL V1.20 10982-1.20-00 163674 
POSTINFIL V2.50 10983-2.50-00 163676 
ALGEBRACDB* V2.35 10985-2.35-00 164058 
LHS V2.50 10205-2.50-00 147277 
INFIL VA_2.a1 10253-A_2.a1-00 147608 
GSLIB HISTPLT V2.01 10802-2.01-00 158223 
EARTHVISION V5.1 10174-5.1-00 152614 
NOTE: Each of the software listed above utilize an input user control file (see Attachment I). 
The Users Manual or the Software Management Reports, as appropriate, are listed 
in the reference section. 
The documentation for the WIPP QA-approved codes (designated with an (*) in 
Table 3-1) to satisfy AP-SI.1Q, can be found in SCM. 
Once the calculated infiltration rate and watershed dimension information (number of cells 
within simulated region) for all of the watersheds included in the analysis has been stored in the 
CDB files (whose number is the realization number), a software item called ALGEBRACDB 
V2.35 (SNL 2003 [164058]) computes the spatial average over the entire simulated domain (i.e., 
the multi-rectangular region that includes the repository footprint). A software item called 
GSLIB HISTPLT V2.01 (SNL 2002 [158223] uses a tabulation of the average infiltration results 
(or their logarithm, base 10) for 100 realizations to create a histogram plot for the resulting 
infiltration-rate distribution as a (discrete) histogram (Probability Density Function [PDF]) (see 
Figure 6-2a and Figure 6-3a). 
Standard Microsoft Excel (Office 2002 V10.3506.3501 SP-1) and visual display graphics 
programs (Adobe Illustrator V8.0) were also used. These commercial, off-the-shelf software are 
not subject to software quality assurance requirements and are exempt from qualification under 
AP-SI.1Q. They are used to process the infiltration maps generated in the report (USGS 2001 
[160355]; DTN: GS000308311221.005 [147613]) for the lower-bound, mean, and upper-bound 
values of the glacial transition climate to obtain the average net infiltration of the simulated 
region and the actual repository footprint areas. The details of the area approximation can be 
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Analysis of Infiltration Uncertainty U0095 
found in Attachment IV. All information needed to reproduce the work using the software is 
included in Attachments IIII (see also Sections 6.1.3 and 6.2). 
A wiring diagram showing the sequence of code interactions and their inputs and outputs for the 
uncertainty analysis is shown in Attachment II. The use of these software and input descriptions 
is also described in the corresponding Users Manuals (Level A software) or Software 
Management Reports (Level B software). In Attachment I, Listing of Sample Input Software, 
listings can be found for examples of the input files indicated in Attachment II.) 
Microsoft Excel 2000 V9.0.5121 SP-1 (also commercial off-the-shelf software) was used to 
perform a sensitivity analysis (Section 6.4.1, Table 6-8) to evaluate the sensitivity of output net 
infiltration results to the uncertain input parameters. 
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Analysis of Infiltration Uncertainty U0095 
4. INPUTS 
4.1 DATA AND PARAMETERS 
The following seven subsections contain a general description of the inputs and technical 
information that can be characterized as having a fixed value (i.e., not stochastic). The stochastic 
input (characterized by uncertainty distributions) is discussed briefly below in Section 4.1.1 and 
fully in Section 6. A summary of the Data Tracking Numbers (DTNs) used as input to this 
analysis is provided in Table 4-1. There is also one Interface Exchange Document (IED) item, 
800-IED-EBS0-00-402-000-00B (BSC 2003 [161727]), used as direct input (discussed in 
Section 4.1.2). 
Additionally, a sample listing of the control input for each software item can be found in 
Attachment I. A chart that shows what input and output files are owned by each of the software 
items used is included in Attachment I. 
Table 4-1. Summary of Input DTNs and IED 
DTN / IED Description 
GS000308311221.004 [146853] The geospatial data characteristic of the 
watersheds used in this analysis 
The infiltration rate maps calculated by the 
GS000308311221.005 [147613] USGS for the lower-, mean, and upper-bounds 
for present-day, monsoon, and glacial transition 
climates 
GS000308311221.010 [147602] Glacial transition climate data consisting 
primarily of precipitation records 
GS000308311221.011 [147615] Template Input User Control File for INFIL 
VA_2.a1 (SNL 2001 [147608]) 
800-IED-EBS0-00402-000-00B Coordinates of drift endpoints in repository 
(BSC 2003 [161727]) design for License Application 
4.1.1 Types of Uncertain Input Parameters 
As discussed in Section 6, this uncertainty analysis requires (upper and lower bounds) the ranges 
of uncertain parameters, parameter distribution types, and the correlation values (including 
values of zero) between parameters for selected model input parameters considered potentially 
significant to evaluate the net infiltration of uncertainty. The source input used to identity the 
mean values of potential uncertain input parameters for present-day, monsoon, and glacial 
transition climates, is provided within Template Files for Uncertainty Analyses (DTN: 
GS000308311221.011 [147615]). Parameters selected for development of uncertainty 
distributions include effective bedrock porosity, bedrock root zone thickness, soil depth, 
precipitation, potential evapotranspiration, bulk-bedrock saturated hydraulic conductivity, soil 
saturated hydraulic conductivity, two parameters associated with bare soil evaporation, and 
effective surface-water flow area. Two additional parameters related to sublimation and melting 
of snow cover are included for the glacial transition climate. 
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Analysis of Infiltration Uncertainty U0095 
The mean values for these 12 uncertain parameters are provided within Template Files for 
Uncertainty Analyses (DTN: GS000308311221.011 [147615]). The data sources, expert 
judgment, and rationale utilized for the determination of the parameter ranges, distribution types, 
and correlation values among these sets of 10 (for present-day and monsoon climates) and 12 
(for glacial transition climate) uncertain parameters are provided in Section 6. 
4.1.2 Repository Footprint 
The repository footprint coordinates are assigned according to the UTM (Universal Transverse 
Mercator) coordinates from 800-IED-EBS0-00402-000-00B (BSC 2003 [161727]; see Figure 
1-1). A set of four contiguous rectangles are used to approximate the repository footprint for the 
purposes of assessing the infiltration uncertainties, as discussed in Section 1 and Attachment IV. 
4.1.3 Template Input Control File for INFIL VA_2.a1 
A template input control file for the software code INFIL VA_2.a1 (SNL 2001 [147608]) is used 
by PREINFIL V1.20 (SNL 2003 [163674]) for each realization. An example of the template 
input user control file is found in Attachment I (Table I-7). This file was examined and found to 
be identical to the data in the Technical Data Management System (TDMS) Template Files for 
Uncertainty Analysis, Infil2a1.ctl, which is a control file for INFIL Version A_2.a1. This file is 
input to PREINFIL (DTN: GS000308311221.011 [147615]). It is this template input user 
control file that is modified by PREINFIL V1.20 (SNL 2003 [163674]) by substituting the actual 
sampled values for the uncertain parameters for each realization to become the input control file 
used by INFIL VA_2.a1 (SNL 2001 [147608]). The distributions and ranges of the uncertain 
parameters for the glacial transition climate are given in Table 6-3. (The actual sampled values 
for these parameters for the 100 realizations can be found in Attachment III, Output File from 
LHS Sampled Values of Input Parameters for All 100 Realizations.) 
4.1.4 Climate Data 
Climate data consisting primarily of precipitation and temperature records of the Tule Lake site 
were provided by USGS (DTN: GS000308311221.010 [147602]), representing the mean glacial 
transition climate regime. The data file and pathname on the COMPAQ Alpha representing the 
glacial climate regime and its DTN are given in Table 4-2. 
Table 4-2. Climate Data for Uncertainty Analysis 
Climate 
Data File Pathname on COMPAQ Alpha 
Status 
Data Tracking Number 
Analog 
Glacial 
Q 
GS000308311221.010 
Transition U1:[RDMCCUR.YMP_2003_QACALCS.INFIL]TUKELAKE.INP 
[147602] 
4.1.5 Watershed Data 
There are 11 watersheds provided by the USGS that are required to calculate net infiltration over 
the region of the repository footprint. These watersheds and the symbolic names of their 
subdivisions are listed in Table 4-3. The original watersheds used in the infiltration report were 
subdivided for the uncertainty analysis done here; see Section 6.1.3 for further discussion. The 
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Analysis of Infiltration Uncertainty U0095 
geodetic data found in these files include the coordinates of cells used for calculations of the net 
infiltration. A more detailed description of the geodetic data can be found in Simulation of Net 
Infiltration for Modern and Potential Future Climates (USGS 2001 [160355], Attachment IV). 
Table 4-3. Watersheds Used in Glacial Transition Climate Uncertainty Analysis 
Name of 
Watershed 
Symbolic 
Identifier Data File Pathname on COMPAQ Alpha Status Data Tracking Number 
(DTN) 
Wren Wash 
ww1 U1:[RDMCCUR.YMP_2003_QACALCS.INFIL. 
WW1]WW1.W20 
Q GS000308311221.004 
[146853] 
Split Wash sw1 U1:[RDMCCUR.YMP_2003_QACALCS.INFIL. 
SW1]SW1.W20 
Q GS000308311221.004 
[146853] 
Coyote cw1 U1:[RDMCCUR.YMP_2003_QACALCS. Q GS000308311221.004 
Wash INFIL.CW1]CW1.W20 [146853] 
WT2 Wash wt2 U1:[RDMCCUR.YMP_2003_QACALCS. 
INFIL.WT2]WT2.W20 
Q GS000308311221.004 
[146853] 
Drillhole dh3 U1:[RDMCCUR.YMP_2003_QACALCS. Q GS000308311221.004 
Wash INFIL.DH3]DH2.W20 [146853] 
Drillhole dh4 U1:[RDMCCUR.YMP_2003_QACALCS. Q GS000308311221.004 
Wash INFIL.DH4]DH2.W.20 [146853] 
us1 U1:[RDMCCUR.YMP_2003_QACALCS. 
INFIL.US1]US1.W20 
Q GS000308311221.004 
[146853] 
Solitario 
Canyon 
Watersheds 
se7 U1:[RDMCCUR.YMP_2003_QACALCS. 
INFIL.SE7]SE7.W20 
Q GS000308311221.004 
[146853] 
se8 U1:[RDMCCUR.YMP_2003_QACALCS. 
INFIL.SE8]SE8.W20 
Q GS000308311221.004 
[146853] 
se9 U1:[RDMCCUR.YMP_2003_QACALCS. Q GS000308311221.004 
INFIL.SE9]SE9.W20 [146853] 
se10 U1:[RDMCCUR.YMP_2003_QACALCS. Q GS000308311221.004 
INFIL.SE10]SE10.W20 [146853] 
4.1.6 Infiltration Rate Maps for Glacial Transition Climates 
This uncertainty analysis requires the spatially averaged mean net infiltration rates calculated 
over the footprint of the repository (see the multi-rectangular domain defined by the 4 boxes in 
Figure IV-2) for the lower-bound, mean, and upper-bound glacial transition climates 
(DTN: GS000308311221.005 [147613]). These calculated means are used in conjunction with 
the output net infiltration uncertainty distribution calculated in this report to determine the 
weighting factors. These calculations are discussed in Section 6.3. 
4.1.7 Control Input for Level B Software 
Each software item used in this analysis, tabulated in Section 3, has associated input and output 
files. Because of the linkage of two major codes (LHS and INFIL) used here, each of these minor 
software have output files that serve as input files to the code subsequently used in the analysis. 
Attachment II, Flow Diagram for Uncertainty Analysis, shows the linkage of this software, and 
Attachment I contains listings of the input control files that serve to link and automate the entire 
process. The input files and their use for the corresponding software are described in their 
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Analysis of Infiltration Uncertainty U0095 
respective Software Management Reports or Users Manuals (for LHS V2.50 and INFIL 
VA_2.a1) (see Table 3-1). These inputs are control parameters, such as naming conventions, 
computational storage directives; they have no basis in physical reality and, thus, no additional 
documentation is required. 
4.2 CRITERIA 
The YMP Project Requirements Document (Canori and Leitner 2003 [161770]) identifies the 
high-level requirements for the Project. The requirements that pertain to this analysis report, and 
their links to 10 CFR 63 [156605], are shown in Table 4-4. The Yucca Mountain Review Plan, 
Final Report (YMRP; NRC 2003 [163274]) lists acceptance criteria pertaining to these 
requirements. Criteria applicable to this analysis report are listed in Table 4-4 and described 
below. 
Table 4-4. Project Requirements and YMRP Acceptance Criteria Applicable to This Analysis Report 
Requirement 
Numbera 
Title a 10 CFR 63 [156605] Link YMRP Acceptance 
Criteria 
PRD -002/T-016 Requirements for Multiple 10 CFR 63.115(a)(c) and 2.2.1.1.3, criteria 1 to 3 b 
Barriers 10 CFR 63.113 (a) 
PRD -002/T-015 Requirements for 
Performance Assessment 
10 CFR 63.114(a)(c) and 
(e)(g) 
2.2.1.3.6.3, criteria 2 
and 3 c 
a
NOTES: 
b 
from Canori and Leitner (2003 [161770], Section 3) 
from NRC (2003 [163274], Section 2.2.1.1.3) 
c 
from NRC (2003 [163274], Section 2.2.1.3.6.3) 
The criteria from Section 2.2.1.1.3 Acceptance Criteria, [for Section 2.2.1.1 System Description 
and Demonstration of Multiple Barriers], which are based on meeting the requirements of 10 
CFR 63.113 [156605] (a) and 63.115 [156605] (a)(c), are: 
 Acceptance Criterion 1, Identification of Barriers Is Adequate: 
Barriers relied on to achieve compliance with 10 CFR 63.113 [156605] (b), as 
demonstrated in the Total System Performance Assessment (TSPA), are adequately 
identified and are clearly linked to their capability. The barriers identified include at least 
one from the engineered system and one from the natural system (this report only 
concerns the natural system). 
This report concerns the barrier capability of the surficial soils and topography, which are 
identified in BSC (2002 [160146], Section 8.3.1) as the first natural barrier. The function 
of this barrier is to limit infiltration to the unsaturated zone. This barrier is treated 
explicitly in the model report Simulation of Net Infiltration for Modern and Potential 
Future Climates (USGS 2001 [160355]). 
 Acceptance Criterion 2, Description of Barrier Capability to Isolate Waste Is Acceptable: 
The capability of the identified barriers to prevent or substantially delay the movement of 
water or radioactive materials is adequately identified and described. 
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Analysis of Infiltration Uncertainty U0095 
This report summarizes the capability of the surficial soils and topography to limit 
infiltration in Section 6.6 (see Table 6-10). 
The uncertainty associated with barrier capabilities is adequately described. 
The principal purpose of this report is to assign weighting factors to the mean and upper 
and lower bounds of infiltration over the repository footprint, thus capturing the 
uncertainty in the barriers capability to limit infiltration. These results are presented in 
Subsections 6.3.16.3.2. 
 Acceptance Criterion 3, Technical Basis for Barrier Capability Is Adequately Presented: 
The technical bases are consistent with the technical basis for the Performance 
Assessment (PA). The technical basis for assertions of barrier capability is commensurate 
with the importance of each barriers capability and the associated uncertainties. 
The barriers capability to limit infiltration is presented as infiltration maps for various 
scenarios of infiltration over the footprint of the UZ site scale model in the AMR 
Simulation of Infiltration for Modern and Potential Future Climates (USGS 2001 
[160355]). The present Analysis Report provides weighting factors for the use of these 
scenarios in TSPA. The technical basis for these factors is presented in Section 6. 
The criteria from Section 2.2.1.3.6.3 Acceptance Criteria [for 2.2.1.3.6 Flow Paths in the 
Unsaturated Zone], which are based on meeting the requirements of 10 CFR 63.114 [156605] 
(a)(c) and (e)(g), relating to flow paths in the saturated zone model abstraction, are: 
 Acceptance Criterion 2, Data Are Sufficient for Model Justification: 
Hydrological values used in the safety case are adequately justified. Adequate 
descriptions of how data were used, interpreted, and appropriately synthesized into the 
parameters are provided. 
Sensitivity or uncertainty analyses are performed to assess data sufficiency, and 
determine the possible need for additional data. 
Accepted and well-documented procedures are used to construct numerical models. 
Reasonably complete process-level conceptual and mathematical models are used in the 
analyses. In particular, mathematical models are provided that are consistent with 
conceptual models and site characteristics. 
Data and technical information used in this report are presented in Subsections 4.1.1 
4.1.7. Data analysis and demonstration of data and technical information sufficiency are 
documented in Subsections 6.1.2.2-6.1.2.4. 
 Acceptance Criterion 3, Data Uncertainty Is Characterized and Propagated Through the 
Model Abstraction: 
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Analysis of Infiltration Uncertainty U0095 
Models use parameter values, assumed ranges, probability distributions, and/or bounding 
assumptions that are technically defensible, and reasonably account for uncertainties and 
variabilities. Uncertainties in the characteristics of the natural system are considered. 
The uncertainty in the characteristics of the natural system is captured by the mean, upper, and 
lower-bound infiltration maps (USGS 2001 [160355]), and by the uncertainty captured by 
distributions of input parameter values (e.g., precipitation, permeability, evapotranspiration 
multipliers) presented in Sections 6.1.2, and probability distributions and weighting factors, 
derived in the present Analysis Report, in Section 6.3. 
All acceptance criteria described above in Section 2.2.1.3.6.3, Acceptance Criteria 2, applicable 
to this report are discussed in Section 6.1.2. Additionally, Acceptance Criterion 3, Data 
Uncertainty Is Characterized and Propagated Through the Model Abstraction, is further 
discussed in Sections 6.3 and Section 6.4. 
4.3 CODES AND STANDARDS 
Not applicable. No other standards or code requirements than those referenced in Section 4.2 
apply to this analysis. 
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Analysis of Infiltration Uncertainty U0095 
5. ASSUMPTIONS 
Table 5.1 presents the single assumption used in this report. 
Table 5-1. Assumptions 
Section 
Assumption Description Where Basis 
Is Described 
Section Used in 
The Latin Hypercube Sampling assumes distribution endpoints 5.1 6.1 
represent the range from 1.0 to 99.0 percentile 
5.1 ASSUMPTIONS USED FOR LHS SAMPLING 
For lognormal and normal distributions, Latin Hypercube Sampling (LHS) assumes that the low 
and high values in the range are at the 1.0 and 99.0 percentile. The basis for this assumption is 
that the 1.0 and 99.0 percentile values of a distribution contain nearly the entire range of the 
actual distribution. These values reasonably bound the distribution for this analysis, and thus no 
further confirmation of this assumption is required. 
This assumption is used both in the determination of the ranges defined in the distributions for 
uncertain input parameters and in the sampling process, as described in Section 6.1. 
5.2 DISCUSSION OF ASSUMPTIONS MADE IN ANL-NBS-HS-000032 
All of the assumptions made in the model report Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355], Sections 5.15.4) are implicitly incorporated 
in this scientific analysis report as well; since, clearly, this analysis depends directly and to a 
great extent on the inputs and results produced by the infiltration numerical model, INFIL 
VA_2.a1 (SNL 2001 [147608]). Thus, the accuracy and precision of the present analysis is 
limited by the accuracy and precision of the numerical model (USGS 2001 [160355], 
Subsections 5.2.1, 5.2.2). It is not within the scope of this report as defined in TWP (BSC 2002 
[160819], Section 1.10.8) to attempt to evaluate the consequence of any conceptual model or the 
calibration of the infiltration model, as described in Simulation of Net Infiltration for Modern 
and Potential Future Climates (USGS 2001 [160355], Section 6). 
For a detailed description of the net infiltration conceptual model approximated using INFIL 
V2.0 (USGS 2001 [139422]), refer to Section 6.1 and Figure 6-2 in Simulation of Net Infiltration 
for Modern and Potential Future Climates (USGS 2001 [160355], Section 6). 
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INTENTIONALLY LEFT BLANK 
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Analysis of Infiltration Uncertainty U0095 
6. RESULTS OF UNCERTAIN INPUT SELECTION AND UNCERTAINTY ANALYSIS 
This Scientific Analysis Report provides an uncertainty analysis for the glacial transition climate 
only, since the climate model used in TSPA for the 10,000-year performance (and 20,000-year 
simulation) period is predominantly a glacial transition climate (CRWMS M&O 2000 [148384]). 
Thus, the input-parameter-distribution development is directed solely toward the uncertainty 
appropriate for the glacial transition climate. Note also that this Scientific Analysis Report 
provides an uncertainty analysis based on a collection (size = 100) of single representative 
(spatial mean) infiltration rates. This rate is obtained by spatially averaging the rates in a group 
of grid cells that range over the simulated rectangular regions that encompass the loaded 
footprint of the repository (see Figure 1-1). (The information contained in the infiltration rate 
map has been folded into this single averaged rate.) Details on how this averaged rate was 
calculated are found in Section 6.1.3. 
The key scientific notebooks used in this study are: 
 Guertal 2001 [164070], SN-USGS-SCI-108-V1 and 
 Guertal 2001 [164071], SN-USGS-SCI-108-V2. 
6.1 LHS METHODOLGY 
6.1.1 Selection and Discussion of LHS Technique 
The analysis used a modified Monte Carlo technique, a form of stratified sampling, Latin 
Hypercube Sampling (LHS), developed by McKay et al. (1979 [127905]) and Iman and 
Shortencarier (1984 [100905]). LHS is a form of stratified sampling, whereby the interval for a 
sampled variable is divided into k intervals of equal probability. Then exactly one sample is 
selected, for a given set of m variables, from each of the k intervals; thus, there will be k m-
tuples (m dimensional vector) in all (total k  m samples taken). 
LHS technique provides the most effective approach to an analysis of uncertainty propagation, 
through a model, for the following reasons: 
(1) A sampling-based approach provides a full coverage of the range of each uncertain 
input parameter 
(2) Modification of the model (e.g. infiltration model) is not required 
(3) Direct estimates of output distribution functions are provided 
(4) Analyses are conceptually simple and easy to implement 
(5) Though not fully developed here, a variety of sensitivity analyses procedures are 
potentially available. 
LHS is preferred due to the efficient manner in which it stratifies across the range of each 
sampled parameter. LHS not only incorporates many of the desirable features of random and 
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Analysis of Infiltration Uncertainty U0095 
stratified sampling but produces more stable analysis outcomes than random sampling (Latin 
Hypercube Sampling and the Propagation of Uncertainty in the Analysis of Complex Systems, 
Helton and Davis 2002 [163475], p. 13). 
The main advantage of using LHS is that greater confidence in the resulting output distribution, 
(.1, .2,, .k) for uncertain parameters .1, .2,, .k, can be obtained with far fewer samples than 
with Monte Carlo random sampling. 
Uncertainty analysis generally involves the estimation of the mean, variance, and distribution 
function for the considered dependent variable, yi =(.1, .2,, .k)i for a set of realizations of 
independent variables .1, .2, .k. Here, yi would be the net infiltration, averaged over the 
simulated region, and the .j's are the sampled parameters (from Table 6-3). McKay et al. (1979 
[127905], Section 2.1) have shown that Var (TS) = Var(TR), where TS and TR represent unbiased 
estimators of the expected value (or mean for statistical and random sampling, respectively) for a 
function, g(yi), where yi = yi (.1, .2, .k) is the ith realization of the dependent variable using 
stratified and random sampling techniques; and where Var represents the variance of the 
estimated mean value (of the estimator) under repeated estimations. Here, the function g may be 
a moment of the distribution. Furthermore, if the dependent variable is monotonic with respect to 
each of the input variables, and g is monotonic in y (which is true for the 1st, 2nd and 3rd 
moments), McKay et al. (1979 [127905]) have shown that Var (TL) = Var(TR), where TL and TR 
are estimates for LHS and random sampling, respectively (Helton and Davis 2002 [163475], p. 
15, Eq. 3.5 and Theorem 3.1). 
Specifically, if G(y), is the estimator for the quantile on the distribution function associated 
with y, as described in Helton and Davis (2002 [163475], p. 16, Eq. 3.22), then Var [Gs(y)] = 
Var[Gr(y)], where Gs and Gr are estimators for stratified and random sampling techniques. And if 
the monotonic condition stated in the previous paragraph holds, Var [Gl(y)] = Var[Gr(y)], Gl is 
the estimator for LHS. In the example considered in McKay et al. (1979 [127905]), Var [(Gl(y)] 
<< Var [Gs(y)] = Var [Gr(y)], where Gr, Gs, and Gl are the estimators for random, stratified, and 
LHS, respectively (in the citation given here, G has replaced T as in the preceding 
paragraph). Thus, LHS is at least as good an estimator of the various moments of a distribution 
and percentiles of the distribution of dependent variables, but can be much better. 
Also, as shown in the report Sampling Based Methods for Uncertainty and Sensitivity Analysis 
(Helton and Davis 2000 [156572], Section 5.4, Figure 5.6), LHS produces distribution functions 
that are more stable than those produced by random sampling. 
To avoid spurious pairwise correlation using the restricted pairing technique (Helton et al. 1998 
[100951], Section 6.2) between uncorrelated input parameters, it is desirable to have a 
sufficiently large number of realizations somewhat greater than the number of uncertain 
parameters used in the analysis (for stability in the restricted pairing technique and for regression 
procedures, a minimum of 25% greater according to Sensitivity Analysis Techniques; Self-
Teaching Curriculum, Iman and Conover 1981 [165064]). If sufficient computational resources 
are available and time permits, a sample size of 2 to 3 times the number of sampled parameters 
will give best results (Iman and Conover 1981 [165064]). Generally, if more than this number is 
done, results may be slightly better but no worse. In this analysis, we chose to sample 12 
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Analysis of Infiltration Uncertainty U0095 
parameters (Table 6-3), and 100 realizations (samples) were used. No spurious correlations are 
observed in the LHS output used in this analysis. The number of 100 realizations was chosen (1) 
to satisfy the criteria above and (2) to facilitate (simplify) the calculation of weighting factors 
from a frequency distribution. 
A more detailed discussion of the LHS methodology is beyond the scope of this Scientific 
Analysis Report, though additional discussion can be found in numerous documents, some of 
which are cited in this report. 
The decision to use LHS, in addition to the advantages enumerated above, was based on the 
following criteria: 
(1) Desirability of complete coverage of the probability space, particularly the upper and 
lower percentiles 
(2) Reasonable sample size from a computational standpoint 
(3) Availability of usable software 
(4) Previous use in the Waste Isolation Pilot Project and the Yucca Mountain Project 
Performance Assessments. 
Other methods considered were Monte Carlo, random, Latin Hypercube, stratified, and pseudo-
Monte Carlo (e.g., Helton) sampling (Saliby and Pacheco 2002 [163930]). Random sampling 
was dismissed immediately, because of the large sample size, relative to alternative sampling 
methods, required to cover the probability space. Of the alternative methods, LHS has a superior 
pedigree in terms of previous use in performance assessment (Helton et al. 1998 [100951], 
Section 6.1; Helton and Davis 2002 [163475], Section 3.3). Additionally, this method had 
already been implemented in software (LHS V2.50; SNL 2000 [147277]) that was readily 
available. Another known advantage of this method, using the LHS software, is that, as referred 
to above, pairwise correlations between (uncertain) input parameters, unless otherwise specified, 
are forced to be very small. In addition, if non-zero correlation is specified, LHS forces the 
resulting correlation to be very nearly equal to that specified (Iman and Shortencarier 1984 
[100905], Section 2; Helton and Davis 2002 [163475], Section 5.1). Finally, as indicated in item 
4) in the list above, the LHS method had wide and extensive use in performance assessment 
uncertainty analysis. 
As discussed above, LHS has been shown to be superior to a random Monte Carlo technique in 
its estimation of a distribution function as given by the variance for estimators. Moreover, for a 
given sample size, LHS is more stable than a random Monte Carlo technique (Helton and Davis 
2002 [163475], p. 13). 
6.1.2 Uncertain Parameters 
6.1.2.1 General Considerations and Descriptions of Uncertain Parameters 
This uncertainty analysis uses the mean and ranges of uncertain parameters (upper and lower 
bounds), parameter distribution types (normal, lognormal, or uniform), and correlation values 
(all parameters have values of zero) between parameters for selected model input parameters 
considered potentially significant to evaluate the net infiltration uncertainties. The names and 
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Analysis of Infiltration Uncertainty U0095 
types of the 12 uncertain parameters that were selected for sampling with respect to the glacial 
transition climate scenario are shown in Table 6-1. 
The distribution ranges and types of ten selected uncertain parameters for the present-day and 
monsoon climate scenarios are shown in Table 6-2, and the distribution ranges and types of 12 
selected uncertain parameters for the glacial transition climate scenario are shown in Table 6-3. 
For the purposes of this uncertainty analysis, the routine PRELHS V2.02 (SNL 2003 [163673]) 
uses the parameter ranges and distribution types listed in Table 6-3 as inputs to produce an input 
file to LHS for the glacial transition climate scenario. The file containing the sampled parameter 
values per realization (for 100 realizations) resulting from LHS operating on these distributions 
is found in Attachment III, Output File from LHS Sampled Values of Input Parameters for all 
100 Realizations. Multipliers of physical parameters, which could be considered independent of 
spatial location, were characterized stochastically, for this analysis. As discussed below, 
parameters that could only be treated as spatially varying were not considered. 
All of the irreducible uncertainties inherent to infiltration phenomena and reducible uncertainties 
such as those caused by measurement error. that may produce uncertainty in the results reported 
in the model report Simulation of Net Infiltration for Modern and Potential Future Climates 
(USGS 2001 [160355]), are implicitly incorporated in this scientific analysis report. This 
analysis depends directly and to a great extent on the inputs and results produced by the 
infiltration numerical model, INFIL V A_2.a1 (SNL 2001 [147608]) (numerically equivalent to 
INFIL V. 2.0 (USGS 2001 [139422])). Thus, the accuracy and precision of the present analysis 
is limited by the accuracy and precision of the INFIL V2.0 numerical model (USGS 2001 
[160355], Section 5.2.1). 
The relevant parameters from the infiltration numerical model are treated as uncertainty 
distributions so that the relative weights can be determined and assigned for the different 
infiltration fields from the infiltration model. This analysis considers implicitly spatial 
heterogeneity uncertainty in physical descriptors that apply to specific locations (e.g., 
permeability of specific rock types or precipitation at a specific location) through the infiltration 
numerical modeling. It does consider scale-dependent uncertainty explicitly, with the uncertainty 
distributions developed specifically for the region encompassed by the repository footprint. The 
reader is referred to the infiltration numerical modeling report for additional discussion of the 
uncertainties considered therein (USGS 2001 [160355], Section 7.2). 
Additionally, because of the dominant duration of the glacial transition climate regime, an 
analysis decision was made to restrict the uncertainty analyses to this climate regime for 
estimation of the weighting factors. The glacial transition climate will dominate the majority of 
the simulated period (USGS 2001 [160355]), beginning at ~2,000 years and lasting beyond the 
performance time period of 10,000 years and the 20,000-year TSPA calculation period. Also, 
since the monsoon climate is expected to last a relatively short period of time (900 to 1,400 
years) (Future Climate Analysis, USGS 2001 [158378], p. 66) compared to the glacial transition 
climate, there is no change in the uncertain parameter distribution going from present-day to 
monsoon climates. The present-day and monsoon climate uncertain parameter distributions are 
presented here as supporting reference information. 
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Analysis of Infiltration Uncertainty U0095 
Table 6-1. Description of Uncertain Input Parameters for Glacial Transition Climate 
Parameter 
Identifier Parameter 
BRPERM Bedrock bulk saturated hydraulic conductivity (multiplier) 
BRPOROS Bedrock effective root-zone porosity 
BRZDEPTH Bedrock root-zone thickness 
ETCOEFFA First coefficient in expression for evapotranspiration 
ETCOEFFB Second coefficient in expression for evapotranspiration 
FLAREA Surface flow runoff area 
POTETMUL Daily evapotranspiration (multiplier) 
PRECIPM Daily precipitation (multiplier) 
SNOPAR1 Snow-melt parameter 
SOILDEPM Soil zone thickness (multiplier) 
SOILPERM Soil saturated hydraulic conductivity (multiplier) 
SUBPAR1 First term (A1) in snow loss (sublimation) equation for temperature regime below 
freezing (i.e. Tk = 0.0C) 
NOTES: All 12 are used in the analyses for the infiltration rate uncertainty for the glacial transition 
climate. 
For a more detailed description of input used in the two INFIL (V2.0, USGS 2001 [139422]) or 
VA_2.a1, SNL 2001 [147608]) codes, refer to Section 6.4 of Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355]). 
Table 6-2. Uncertain Input Parameter Distributions for Present-Day and Monsoon Climates 
Parameter 
Identifier Mean Low Range High Range Distribution 
Type Units 
BRPERM 1.00 0.10 10.0 LOGNORMAL NONE 
BRPOROS 0.009 0.002 0.024 NORMAL NONE 
BRZDEPTH 1.00 0.00 2.00 NORMAL METERS 
ETCOEFFA -10.0 -0.10 -19.9 NORMAL NONE 
ETCOEFFB 1.04 0.54 1.54 NORMAL NONE 
FLAREA 0.50 0.01 0.99 NORMAL NONE 
POTETMUL 1.00 0.60 1.40 NORMAL NONE 
PRECIPM 1.00 0.60 1.40 NORMAL NONE 
SOILDEPM 1.00 0.10 1.90 NORMAL NONE 
SOILPERM 1.00 0.10 10.0 LOGNORMAL NONE 
Output-DTN: SN0309T0503100.009 
NOTE: Parameter identifiers are defined in Table 6-1. 
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Analysis of Infiltration Uncertainty U0095 
Table 6-3. Uncertain Input Parameter Distributions for Glacial-Transition Climate 
Parameter 
Identifier Mean Low Range High Range Distribution 
Type Units 
BRPERM 1.00 0.10 10.0 LOGNORMAL NONE 
BRPOROS 0.009 0.002 0.024 NORMAL NONE 
BRZDEPTH 1.50 0.00 3.00 NORMAL METERS 
ETCOEFFA -10.0 -0.10 -19.9 NORMAL NONE 
ETCOEFFB 1.04 0.54 1.54 NORMAL NONE 
FLAREA 0.25 0.01 0.49 NORMAL NONE 
POTETMUL 1.00 0.60 1.40 NORMAL NONE 
PRECIPM 1.00 0.60 1.40 NORMAL NONE 
SNOPAR1 1.78 0.78 2.78 UNIFORM NONE 
SOILDEPM 1.00 0.10 1.90 NORMAL NONE 
SOILPERM 1.00 0.10 10.0 LOGNORMAL NONE 
SUBPAR1 0.10 0.00 0.20 UNIFORM NONE 
Output-DTN: SN0309T0503100.009 
NOTES: Parameter identifiers are defined in Table 6-1. 
For lognormal and normal distributions, LHS assumes that the low and high values in the 
range are at the 1.0 and 99.0 percentile (Section 5.1). 
For parameter ETCOEFFA, LHS samples over a positive range of values, the negative sign 
is re-introduced by PREINFIL for the code INFIL V2.0 (USGS 2001 [139422]). 
For some parameters, such as effective bedrock porosity (BRPOROS), the input parameter 
distribution was defined using actual values. In other cases, the input parameter distribution was 
defined using a multiplier, which was then applied to calculate the parameter value distribution 
across all grid cells of the infiltration model. For input distributions defined using multipliers, 
the actual physical property values, which depended on the value of the multiplier, varied from 
cell to cell. Distribution types for all parameters were selected to be one of three types: normal, 
lognormal, or uniform. Selection of an appropriate distribution type was usually based on results 
from prior studies (e.g., lognormal distribution for hydraulic conductivity; see Analysis of 
Hydrologic Properties Data (BSC 2003 [161773], Section 6.2.1, p. 50)) or based on the 
distribution type of the actual dataset (e.g. fracture porosity and precipitation DTN: 
SN0309T0503100.011. 
Upper and lower bounds for the parameters were determined using absolute bounds defined by 
the physical limits of the parameter (i.e. BRPOROS, BRZDEPTH, SOILDEPM, PRECIPM, 
POTETMUL, BRPERM, SOILPERM, FLAREA, ETCOEFFB, SNOPAR1, and SUBPAR1 
could not be negative, ETCOEFFA could not be positive, and BRPOROS and FLAREA could 
not be greater than 1). 
Two correlations between parameters were considered: one between the soil-depth parameter 
SOILDEPM and the bedrock-rooting-depth parameter BRZDEPTH; and one between the 
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Analysis of Infiltration Uncertainty U0095 
precipitation-rate multiplier PRECIPM and the potential-evapotranspiration multiplier 
POTETMUL. SOILDEPM and BRZDEPTH are inversely correlated, by definition, through 
Equation 17 in Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 
2001 [160355], pp. 5051) for deterministic model simulations. The inclusion of a negative 
correlation between SOILDEPM and BRZDEPTH was considered but ultimately not used in 
order to capture the uncertainty of soil depth and bedrock rooting depth, independently of each 
other. A correlation between PRECIPM and POTETMUL was not used in this analysis because 
daily potential evapotranspiration is affected by more than daily precipitation alone (e.g., sun 
angle). 
For this Scientific Analysis Report, zero pairwise correlation has been used between the sampled 
input parameters. That is, these parameters are uncorrelated and vary independently of one 
another. The software LHS V2.50 (SNL 2000 [147277]) imposes a very small (i.e. .r. << 1.0) 
correlation, r, to all pairs of parameters that do not have a correlation specified. Those parameters 
that were not correlated, were physically unrelated, or there was insufficient physical 
justification indicating that these parameters were significantly correlated. 
6.1.2.2 Parameter Distributions Developed for the Present-Day and Monsoon Climate 
Scenarios 
Effective Bedrock Porosity: A mean value of 0.009 was assigned to BRPOROS, with a lower-
bound value of 0.002 and an upper-bound value of 0.024 considered to be representative of the 
maximum effective fracture porosity. The BRPOROS range is the same for both present-day 
(and monsoon), and glacial transition climate scenarios. A normal distribution was assigned to 
BRPOROS, based on the distribution of the first 12 bedrock porosities reported in Analysis of 
Hydrologic Properties Data (BSC 2003 [161773], Table 7), and using the W test of Shapiro and 
Wilk (Gilbert 1987 [163705], pp. 158-160; Output-DTN: SN0309T0503100.011), the 
hypothesis that the distribution is normal is accepted. This range of values is narrower than the 
input used for model simulations presented in the previous version of Analysis of Infiltration 
Uncertainty (CRWMS M&O 2000 [143244]). This new range uses actual bedrock fracture 
porosity values for all exposed rock units as shown in the Cross Drift As-Built Geologic Cross 
Section in Geology of the ECRB Cross DriftExploratory Studies Facility, Yucca Mountain 
Project, Yucca Mountain, Nevada (Includes Drawings OA-46-345 and OA-46-346) (Mongano et 
al. 1999 [149850]) and uses the first 12 fracture porosity values in Analysis of Hydrologic 
Properties Data (BSC 2003 [161773], Table 7). Although the area of this Geologic Cross 
Section is larger than the repository footprint, this range is considered to be a more realistic 
range of bedrock effective porosities than was previously used. 
Soil Thickness: The multiplier SOILDEPM was used to uniformly scale estimates of soil depth 
across all model grid cells. A deviation of  0.9 ( 90%) was used to define the lower- and 
upper-bound estimates of 0.1 and 1.9 for SOILDEPM. This distribution was considered 
appropriate to adequately capture the large uncertainty in the estimate of soil depth across the 
model domain. 
In addition to consistency with data used in the INFIL (V2.0 (USGS 2001 [139422]) and 
VA_2.a1 (SNL 2001 [147608])) model, the input distribution of soil depths was considered to be 
consistent with soil-thickness data from State Soil Geographic (STATSGO) Data Base, Data Use 
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Analysis of Infiltration Uncertainty U0095 
Information (USDA 1994 [154246]) in the vicinity of Yucca Mountain. A normal distribution 
was assigned to SOILDEPM. 
Bedrock Root-zone Thickness: BRZDEPTH is expected to vary with climate, with lower values 
for drier climates and higher values for wetter climates, as discussed in Wirth et al. (1999 
[162961]). For the present-day climate scenario, BRZDEPTH was assigned a mean value of 
1 m, varying between 0 and 2 m. The thickness of the root zone in bedrock is calculated using 
Equation 17 of Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 
2001 [160355], Section 6.7.2) with the soil-depth-class map (DTN: GS000308311221.004 
[146853]) using the INFIL V2.0 (USGS 2001 [139422]) model. Refer to Figure 6-1 for a 
graphical representation of the relationship between soil depth and rooting depth for present-day 
and glacial transition climates, as defined by Equation 17 in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355], pp. 50-51). For model grid cells, 
the root zone thickness in bedrock decreases as the thickness of soil increases. In addition, the 
root density in bedrock is only a small fraction of the root density in soil, which decreases as a 
function of depth below the surface (USGS 2001 [160355], Section 6.8.3, p. 56). 
This range for BRZDEPTH is narrower than the input used for model simulations presented in 
the previous version of Analysis of Infiltration Uncertainty (CRWMS M&O 2000 [143244]). 
This new range is considered to be a more realistic range of bedrock rooting depth than was 
previously used because it is based entirely on the use of Equation 17 in Simulation of Net 
Infiltration for Modern and Potential Future Climates (USGS 2001 [160355], Section 6.7.2). 
A normal distribution was assigned to BRZDEPTH. For this uncertainty analysis, the sampled 
values of the parameters SOILDEPM and BRZDEPTH were sampled independently of each 
other (no correlation) to capture the large uncertainty in bedrock rooting depth. The ranges used 
in this uncertainty analysis are likely to be larger (with shallower values of bedrock rooting 
depth) than would be found over the repository footprint. 
Literature regarding plant-rooting depths near Yucca Mountain generally reports rooting depths 
for vegetation in deep alluvial soils and not on mountainside slopes typical of Yucca Mountain. 
Rooting depths for shrubs typically range from 0 to 50 cm (Wallace et al. 1980 [162955]), and 
occasionally to depths of several meters (Rundel and Nobel 1991 [128001]). Wirth et al. (1999 
[162961]) compiled ranges of maximum rooting depths for various vegetation types under 
current and future (glacial-transition) climates for a study related to the waste disposal of 
transuranic (TRU) waste in Greater Confinement Disposal (GCD) boreholes at the Nevada Test 
Site (NTS) (Cochran et al. 2001 [163189]). The regulatory compliance period for the TRU 
waste at GCD is 10,000 years, the same as for high-level waste at Yucca Mountain. Wirth et al. 
(1999 [162961]) report a range of maximum rooting depths of 0.35 to 17.4 m for shrubs under 
current and future climates, and a range of maximum rooting depths of 0.2 to 30 m for trees 
under a future climate. In the Evaluation of the Occurrence of Termite Species and Potential 
Termite Burrowing Depths in the Area of the Nevada Test Site: Present Data and for the Next 
10,000 Years (refer to McCurley 2003 [162947]), it states that under a future cooler, wetter 
climate at the NTS, areas inhabited by shrubs may become inhabited by Pinon-Juniper 
communities currently found at the upper elevations of the NTS. Juniper has a deep rooting 
depth, ranging from 6 to 60 m. This review of rooting depths is included to satisfy the comment 
made during the Model Validation Status Review (BSC 2001 [156257]) and documented in TER-
ANL-NBS-HS-000027 REV 01 36 October 2003 

Analysis of Infiltration Uncertainty U0095 
02-013 that rooting depths used in Simulation of Net Infiltration for Modern and Potential 
Future Climates (USGS 2001 [160355]) were too deep. 
0 
1 
2 
3 
4 
5 
6 
0 1 2 3 4 5 6 
) 
) 
Climate) 
ial-
iial-
iSoil Depth (mRooting Depth (mTotal Rooting Depth (Present-Day 
Bedrock Rooting Depth (Present-
Day Climate) 
Total Rooting Depth (GlacTranstion Climate) 
Bedrock Rooting Depth (GlacTranstion Climate) 
NOTE: This figure is based on Equation 17 in Simulation of Net Infiltration for Modern and Potential Future Climates 
(USGS 2001 [160355]). 
Figure 6-1. Relationship between Soil Depth and Rooting Depth 
Precipitation and Potential Evapotranspiration: The PRECIPM and POTETMUL distribution 
ranges were left unchanged ( 0.4 about the mean). As described in Section 6.1.2.1, the 
multiplier range of  0.4 was consistent with the ranges of mean annual precipitation between the 
upper and lower climate bounds for modern, monsoon, and glacial transition climates used in 
Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 2001 [160355], 
Table 6-19). 
The distribution of precipitation using the PRECIPM parameter was consistent with the observed 
variability in estimated average annual precipitation for the Yucca Mountain area (French 1983 
[125313]; Hevesi et al. 1992 [116809]), and it was consistent with the ranges of mean annual 
precipitation between the upper and lower climate bounds. For example, the mean annual 
precipitation during the mean present-day climate is 197 mm, which is 41% lower than the mean 
ANL-NBS-HS-000027 REV 01 37 October 2003 

Analysis of Infiltration Uncertainty U0095 
annual precipitation for the upper-bound present-day climate (278 mm) (USGS 2001 [160355], 
Table 6-10). 
The range of multipliers between the lower and upper bounds of potential evapotranspiration for 
present-day (and monsoon) climates is expected to be the same as the range between the lower 
and upper bounds of precipitation for each climate. 
Bedrock and Soil Permeability: A lognormal distribution was assigned to conductivity multiplier 
parameters BRPERM and SOILPERM, based on the predicted distributions of conductivity 
reported in previous studies (e.g., Freeze and Cherry 1979 [101173], pp. 3031), and based on 
the distribution of the first 12 fracture permeabilities reported in Table 7, and the discussion on 
page 50 of Analysis of Hydrologic Properties Data (BSC 2003 [161773]). For BRPERM, the 
upper- and lower-bound values were set to be  1.0 orders of magnitude ( a multiplier of 10) 
around the mean value (where the mean value is defined by BRPERM = 1). Therefore, the total 
range for BRPERM is 2 orders of magnitude. This range is consistent with the expected range of 
hydraulic conductivities reported by Freeze and Cherry (1979 [101173], p. 31), who report that 
permeability in most geological formations have a standard deviation in the range of 0.5 to 1.5 
(log K), and show total heterogeneous variations of 12 orders of magnitude. This range in 
standard deviation of permeability reported in Freeze and Cherry (1979 [101173], p. 31) is 
consistent with the average standard deviation of 0.57 for the exposed units (top 12 layers) of 
fracture permeability data reported in Analysis of Hydrologic Properties Data (BSC 2003 
[161773], Table 7). This range for BRPERM is narrower than the input used for model 
simulations presented in the previous version of Analysis of Infiltration Uncertainty (CRWMS 
M&O 2000 [143244]). This new range is considered to be a less conservative, but more realistic 
range of effective bedrock permeability than was previously used. 
The range of  1.0 (log K) is also consistent with the range of flux rates calculated for matrix and 
open and filled fractures and reported in Flint et al. (1996 [100147], Table 2), if the calculated 
flux for matrix and unfilled 250 m wide fractures are not included. If the range in calculated 
flux for all other combinations of matrix and filled and unfilled fractures of varying widths are 
considered, the average range in calculated flux for all exposed rock units is less than 2 orders of 
magnitude (Flint et al. 1996 [100147], Table 2). 
A range of two orders of magnitude ( 1.0 (log K)) was also assigned to SOILPERM. This 
distribution for SOILPERM is considered to be representative of both field-scale variability 
within mapped soil types and uncertainty in estimated values provided in Flint et al. (1996 
[100147], Table 4), which reports that soil saturated hydraulic conductivity ranges from 
5.6  10-6 to 3.8  10-5 m/s. Although the distribution for SOILDEPM is wider than this range in 
soil conductivities, the wider distribution was considered appropriate because the soils at Yucca 
Mountain generally have a high percentage of coarse material (grain sizes > 2 mm) with very 
high permeability, but they can also contain layers cemented with calcium carbonate (Flint et al. 
1996 [100147], p. 39) having a very low permeability. 
Evapotranspiration (ET) Coefficients A & B: Normal distributions for the parameters 
ETCOEFFA and ETCOEFFB are used in the modified Priestley-Taylor equation (Priestley and 
Taylor 1972 [125321]; Flint and Childs 1991 [124946]) for the estimation of bare-soil 
evaporation. The mean values for both parameters (-10.00 for ETCOEFFA and 1.04 for 
ANL-NBS-HS-000027 REV 01 38 October 2003 

Analysis of Infiltration Uncertainty U0095 
ETCOEFFB) are consistent with values reported in Flint and Childs (1991 [124946]). However, 
note that the bare-soil coefficients alpha and beta in Flint and Childs (1991 [124946]) are 
renamed ETCOEFFB and ETCOEFFA, respectively, in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355]) and in this uncertainty analysis. 
The large ranges of  9.9 for ETCOEFFA and  0.5 for ETCOEFFB were used to represent the 
large uncertainty in ET estimates, which are largely caused by the large variability in percent 
vegetation cover. For example, as vegetation cover increases, bare-soil evaporation decreases 
and plant transpiration increases. Since percent vegetative cover is assigned a constant value for 
a given climate scenario, a large range in ETCOEFFA and ETCOEFFB can capture the 
uncertainty in percent vegetation cover (and ET). 
The applicability of the modified Priestley-Taylor (PT) ET equation as described in Flint and 
Childs (1991 [124946]) has also been demonstrated in a 1996 study conducted at Area 5 of the 
Nevada Test Site. A Letter Report, Modeling Evapotranspiration from Arid Environments: 
Literature Review and Preliminary Model Results (Levitt et al. 1996 [163191]) compared a 
variety of ET models, including the same PT model used in the INFIL (V2.0 (USGS 2001 
[139422]) or VA_2.a1 (SNL 2001 [147608])) models, with ET data provided by two weighing 
lysimeters (one with bare soil, one with native vegetation) located near the Area 5 Radioactive 
Waste Management Site (RWMS) at the NTS. (Refer to Levitt et al. (1996 [163183]) for details 
of these weighing lysimeters at the NTS.) The modified PT equation, with the alpha parameter 
calibrated to volumetric water content measured in the weighing lysimeters at a depth of 10 cm, 
yielded daily estimates of ET that were very close to those measured in the weighing lysimeters. 
These results indicate that the modified PT equation is appropriate and accurate for estimating 
ET at Yucca Mountain. 
Surface Flow Runoff Area: A normal distribution was assigned to the FLAREA parameter, 
which defines the fraction of each grid cell in the infiltration model affected by overland flow 
and channel flow during the routing of runoff. For the present-day climate, overland flow 
processes are considered to be the primary component of surface water flow, with a mean value 
of 0.5 assigned to FLAREA. The mean value of 0.5 was also defined as part of the model 
calibration process to match stream-flow records. The INFIL model was calibrated by adjusting 
root zone density weighing parameters and FLAREA in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355], Section 6.8), so while the mean 
value of 0.5 may not have a strong physical basis, its use is nonetheless justified. A wide 
distribution of  0.49 was assigned to FLAREA, with a lower bound of 0.01 and an upper bound 
of 0.99, representing a high degree of variability and uncertainty in this parameter (only values 
between 0 and 1 are valid for FLAREA). The FLAREA parameter is expected to exhibit a high 
degree of both spatial and temporal variability. 
6.1.2.3 Parameter Distributions Developed for the Glacial Transition Climate Scenario 
Based on a combination of the results from the present-day climate LHS computations and the 
predictions concerning future climate conditions, adjustments were made to the BRZDEPTH and 
FLAREA input distributions for the glacial transition climate scenario. The distributions for 
BRZDEPTH and FLAREA were adjusted based on estimated changes in root zone and channel 
characteristics for the glacial transition climate scenario relative to the present-day climate 
scenario. The 12 uncertain parameters used for the glacial transition climate scenario included a 
ANL-NBS-HS-000027 REV 01 39 October 2003 

Analysis of Infiltration Uncertainty U0095 
snow-melt parameter (SNOPAR1) and a sublimation parameter (SUBPAR1), which were added 
in order to utilize the snow module in the infiltration model (USGS 2001 [160355]). 
Effective Bedrock Porosity: For the glacial-transition-climate parameter distribution, the 
BRPOROS distribution was left unchanged, based on the approximation that effective fracture 
porosity would remain constant for all climates. 
Soil Thickness: The SOILDEPM mean, range, and distribution type were left unchanged. There 
may be some changes in soil development as a result of the advent of the glacial transition 
climate, but there is insufficient justification to change the multiplier for soil depth. 
Bedrock Root-Zone Thickness: The mean value for BRZDEPTH was increased from 1 to 1.5 m, 
and the distribution range was changed from  1 m to  1.5 m. The increase in BRZDEPTH was 
selected because the root zone thickness in fractured bedrock should increase as precipitation 
increases. A range of 0 to 3 m is consistent with the expected range of bedrock rooting depth for 
the glacial transition climate, using Equation 17 of Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355], Section 6.7.2). Refer to Figure 6-1 for a 
graphical representation of the relationship between soil depth and rooting depth during present-
day and glacial transition climates, which is based exclusively on Equation 17 of Simulation of 
Net Infiltration for Modern and Potential Future Climates (USGS 2001 [160355], Section 6.7.2). 
Precipitation and Potential Evapotranspiration: The PRECIPM and POTETMUL distribution 
ranges were left unchanged ( 0.4 about the mean). As described in Section 6.1.2.2, the 
multiplier range of  0.4 was consistent with the ranges of mean annual precipitation between the 
upper and lower climate bounds for modern, monsoon, and glacial transition climates. For 
example, the mean annual precipitation during the mean glacial transition climate is 323 mm, 
which is 39% higher than the minimum annual precipitation for the lower-bound glacial 
transition climate (198 mm) and 41% lower than the maximum annual precipitation for the 
upper-bound glacial transition climate (455 mm) (USGS 2001 [160355], Table 6-19). The range 
between the lower and upper bounds of potential evapotranspiration for the glacial transition 
climate is expected to be consistent with the range between the lower and upper bounds of 
precipitation. 
However, the precipitation dataset used for the glacial transition climate for this analysis of 
infiltration uncertainty (GS000308311221.010 [147602] and Output-DTN: 
SN0309T0503100.011 is not the same as that used in Simulation of Net Infiltration for Modern 
and Potential Future Climates (USGS 2001 [160355]). The mean annual precipitation from the 
Tule Lake dataset Output-DTN: SN0309T0503100.011 is 278 mm, calculated from daily data in 
DTN: GS000308311221.010 [147602], while that used in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355]) is 323 mm. If the two extreme 
highest and lowest annual precipitation totals from the 49-year Tule Lake dataset Output-
DTN: SN0309T0503100.011 are not used, then the mean annual precipitation rate of 278 mm/yr 
is 39% higher than the minimum annual precipitation rate (169 mm/yr) and 42% lower than the 
maximum annual precipitation rate (394 mm). Therefore, the use of a multiplier of  0.4 about 
the mean is approximately the same between the approaches used in Simulation of Net 
Infiltration for Modern and Potential Future Climates (USGS 2001 [160355]) and in this report. 
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Analysis of Infiltration Uncertainty U0095 
Bedrock and Soil Permeability: The bedrock and soil permeability multipliers (BRPERM and 
SOILPERM) were left unchanged. Although some fracture filling might be expected at some 
elevations during the glacial transition climate, with a resulting reduction in bedrock 
permeability, there are insufficient data to justify changing in the mean or range of BRPERM. In 
fact, while higher precipitation during the glacial transition climate could cause some fractures to 
become filled, other fractures may get flushed open by the increased precipitation. Soil 
permeability might also be expected to change during the glacial-transition climate because of 
the development of clay horizons, but there are insufficient data to justify changing the range of 
this parameter. 
ET Coefficients A & B: For the two parameters controlling bare-soil evaporation, the means, 
ranges, and distribution types were left unchanged. The ranges for these parameters for the 
modern, monsoon, and glacial transition climates are extremely wide in order to capture the large 
uncertainty in ET and percentage vegetative cover. 
Surface Flow Runoff Area: The range of the FLAREA input distribution was narrowed from 
 0.49 about the mean to  0.24 about the mean, and the mean was reduced from 0.5 to 0.25. 
The new distribution was defined by a lower-bound value of 0.01 (same as for present-day 
climate) and an upper-bound value 0.49 (about one-half that used for present-day climate). The 
reasoning used for developing the new distribution was that a greater proportion of total surface 
water flow for the wetter glacial transition climate would occur as channelized stream flow, as 
opposed to widespread overland flow. A supporting assumption was also made that drainage 
networks would be better established for a wetter climate, and surface features would include 
better-defined rill features on sideslopes and in headwater areas of drainages, which in turn 
would serve to better concentrate overland flow. The reduction in FLAREA from the 
present/monsoon climate to the glacial transition climate is conservative for TSPA infiltration 
calculations, because the change will have the effect of increasing infiltration. Furthermore, the 
infiltration model is relatively insensitive to the value of the uncertain parameter FLAREA. 
Refer to Section 6.4.1 for the results of a sensitivity analysis conducted for this study. 
Snow-melt and Sublimation: For the glacial transition climate, the parameters SNOPAR1 and 
SUBPAR1 were added to the input parameter set to utilize the snow module of the infiltration 
model. A uniform distribution was used for both parameters, with SNOPAR1 defining the 
snowmelt rate and SUBPAR1 defining the sublimation rate (SNOPAR1 is equivalent to A in 
Equation 7, and SUBPAR1 is equivalent to A1 in Equation 6 of USGS 2001 [160355], p. 38). 
A uniform distribution was selected for both parameters because of a lack of data defining input 
distributions. The mean value of 1.78 for SNOPAR1 was based on the temperature-index 
expression for light, open forest during April (Sierra Nevada, California) obtained from 
Maidment (1993 [125317], Table 7.3.7). The upper-bound value of 2.78 and the lower-bound 
value of 0.78 were defined using an assumed distribution range of  1.0 for SNOPAR1, based on 
a qualitative assessment of various temperature-index expressions provided in Maidment (1993 
[125317], Table 7.3.7). Parameter values in Maidment (1993 [125317]) range from minimum 
values of 0.58 (Boreal forest, midseason) and 0.9 (Southern Manitoba) to maximum values of 
4.58 (Montana Rockies, May), 3.3 (Western Cascades, May), and 5.7 (Southern Ontario). In the 
literature, there is no equivalent for a temperature-index expression to estimate changes in the 
snowpack caused by sublimation and advective processes (saltation and turbulent diffusion). 
Existing studies indicate a high dependency on wind direction and speed, in addition to air 
ANL-NBS-HS-000027 REV 01 41 October 2003 

Analysis of Infiltration Uncertainty U0095 
temperature, relative humidity, and elevation (Maidment 1993 [125317], pp. 7.57.10 and Figure 
7.2.4). To include the sublimation component of the snowpack water balance in the infiltration 
model (USGS 2001 [160355]), a model was developed using an assumed energy-index 
expression, where the energy for sublimation/advection is defined using the adjusted PT 
potential evapotranspiration rate (USGS 2001 [160355], p. 38). This hypothetical 
sublimation/advection model assumes that no snow accumulates due to advection (snow drifts). 
Given a conceptual understanding that sublimation (including saltation and turbulent diffusion) 
of snow is a component of the snowpack water balance, the parameter was assigned a range such 
that it would be small compared to the snow-melt parameter. To be conservative, the mean 
percentage of snowpack loss resulting from sublimation/advection was assumed to be 
considerably less than the maximum values of 41 to 34 % indicated by field studies (Maidment 
1993 [125317], p. 7.8). Therefore, a value of 0.10 with a range of  0.10 was assigned to the 
SUBPAR1 parameter. 
6.1.2.4 Tiva Canyon Tuff Permeability Data 
This section compares the different estimates of bulk-bedrock saturated hydraulic conductivities 
(or permeabilities) for the upper lithophysal unit of Tiva Canyon Tuff to further justify the range 
of  1.0 (log K) for BRPERM used in this uncertainty analysis. The sources for these varying 
estimates are: (1) the bulk bedrock hydraulic conductivity for the upper lithophysal unit of Tiva 
Canyon Tuff used in the INFIL model (SNL 2001 [147608]) which was taken from Table IV-3 
in Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 2001 
[160355], pp. IV-11 to IV-15); (2) the infiltration rate data reported for the Alcove 1 
experiments; and (3) air-permeability data reported by LeCain (1998 [100052]). 
10
The saturated hydraulic conductivity (K) value for the upper lithophysal unit (Tpcpul) reported 
in Table IV-3 of Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 
2001 [160355]) is 1.13 mm/day. This corresponds to an intrinsic permeability (k) of 1.33  
-15 m2. The hydraulic conductivities used in the INFIL model (SNL 2001 [147608]) and 
reported in Table IV-3 of Simulation of Net Infiltration for Modern and Potential Future 
Climates (USGS 2001 [160355]) are equal to the calculated value of bulk bedrock saturated 
hydraulic conductivity for 250-m-aperature fractures filled with in-fill materials, as described in 
Flint et al. (1996 [100147]). 
The results of the Alcove 1 infiltration experiments, conducted in the upper lithophysal zone of 
the Tiva Canyon Tuff, can be used to estimate the maximum rock permeability. In the Alcove 1 
experiments, an irrigation system was designed such that water infiltrated into the bedrock 
directly above Alcove 1 at rates less than the fracture saturated hydraulic conductivity. The 
range of flux was from 0 to 30 mm/d (3.54  10-14 m2 [assuming a hydraulic gradient equal to a 
unit-gradient condition]) from February 19, 1999, to December 15, 1999 (Flint et al. 2000 
[162880]). The flux range of 18 mm/d (2.12  10-14 m2) to 25 mm/d (2.95  10-14 m2) was 
maintained from September 21, 1999, to October 15, 1999, before a test with tracer application 
began. In both the Phase I test (from March 8, 1998, to December 4, 1998, see DTN: 
GS990108312242.006 [162979]) and the Phase II tests (from January 29, 1999 to June 20, 2000, 
see DTN: GS000808312242.006 [162980]), water application was controlled such that no 
surface runoff occurred. 
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Analysis of Infiltration Uncertainty U0095 
However, there are insufficient data at this time to relate the highly variable water application 
flux rates during the Alcove 1 experiments to the bulk-bedrock-saturated hydraulic conductivity 
of the Tpcpul unit. Furthermore, it is possible that the Tpcpul units above Alcove 1 are not 
subject to the same structural stresses as the Tpcpul units above the repository footprint, because 
of proximity to the edge of Yucca Mountain, and are therefore more open fractures. However, 
current data are insufficient to support this supposition. 
Therefore, the multiplier BRPERM has a range that does not quite encompass the permeability 
determined from the Alcove 1 infiltration experiments, but the additional uncertainty that would 
be introduced if BRPERM was widened for one exposed rock unit (Tpcpul) to encompass the 
Alcove 1 flux rates is not warranted at this time. 
In addition to the infiltration tests, LeCain (1998 [100052]) conducted air permeability tests in 
the Tpcpul unit in horizontal boreholes in Alcove 1. LeCain (1998 [100052]) reports a natural 
log mean of 2.772 (16.0  10-12 m2) for air permeabilities for boreholes RBT#1, RBT#2, and 
RBT#3 in the Tpcpul unit. This permeability estimate is approximately four orders of magnitude 
larger than the value reported in Table IV-3 of Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355]). 
Permeabilities for fractures without filling are greater than those for filled fractures with the 
same aperture (Flint et al. 1996 [100147], Table 2). This is why the permeability values 
measured by air injection in Alcove 1 (along underground boreholes drilled from the alcove, and 
situated below surface covers) are much higher than the values tabulated in Simulation of Net 
Infiltration for Modern and Potential Future Climates (USGS 2001 [160355], Table IV-3). For 
fractured tuff locations such as Alcove 1, large differences may exist between the bedrock 
conductivity values representing filled fractures, as applied in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 [160355]), and measured values from 
boreholes intersecting open fractures. The filled fractures may control the infiltration through 
the bedrock near the ground surface, while the open fractures may control the flow paths for air 
movement and liquid flow deep below the ground surface in response to high-rate injection, such 
as that conducted during the Alcove 1 infiltration tests. 
Additional justification for the use of a range of  1.0 (log K) for BRPERM can be found in 
permeability data reported by LeCain (1998 [100052]) and LeCain (1997 [100153]). These air-
permeability data rarely demonstrate a range larger than 2 orders of magnitude for a given rock 
unit, even though the reported air permeabilities are much larger than those reported in Table IV3 
of Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 2001 
[160355]) for the Tpcpul unit. 
For locations and general descriptions of the tests conducted at Alcove 1, refer to LeCain (1998 
[100052]). For data package and tracer data, refer to Scientific Notebooks by Guertal (2001 
[164070] and [164071]). For details on modeling the Alcove 1 infiltration experiments, refer to 
Liu et al. (2003 [162470]). 
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Analysis of Infiltration Uncertainty U0095 
6.1.3 LHS Methodology Applied to Glacial Transition Analysis 
The long run times (central processing unit time) experienced in performing scoping calculations 
(~4.5 hours per realization for the larger watersheds, along with a need to use a significantly long 
climate record for this future climate) led to reducing the size of watershed regions done for the 
scoping calculations into multiple smaller watersheds that could be run in parallel. The 
watershed regions approximate the footprint boundary. The USGS (DTN: GS000308311221.004 
[146853]) provided new watershed input files that significantly reduced the areas of the largest 
watershed region, by subdividing this region into smaller regions used in this report. Thus, for 
the glacial transition analysis, a total of 11 watersheds were used. (The repository footprint 
boundary for Site Recommendation included 17 watersheds, six of which are no longer included 
within the revised footprint boundary for License Application.) 
For the simulated domain, an analysis decision was made to use a multi-rectangular (for these 
calculations, 4 rectangles were used) region that approximates the entire loaded footprint region. 
Figures 1-1 and IV-2 (Attachment IV) shows this area outlined relative to the repository 
footprint. The averaged net infiltration in this region is approximately the same as that within 
the actual footprint, as discussed below. 
The spatially averaged infiltration rate for each watershed is a spatial mean infiltration rate 
calculated as the average pointwise infiltration rates in the set of all nodal locations within the 
boundary of the designated rectangular subregion approximating the repository footprint. An 
areal (spatially averaged) mean infiltration rate over the repository footprint was calculated using 
Equation 6-1, using the definition of a weighted average for a discrete sum, 
11 11 
. S =(fa ) / Sa (Eq. 6-1) 
rf kkk
k = 1 k = 1 
where 
. rf = Mean (spatially averaged) net infiltration rate over the entire repository footprint. 
a k = The coefficients represented by the area of active cells within each watershed; since 
the area of each cell is the same (900 m2), this coefficient may also represent the 
number of active cells in watershed k (an active cell is a cell within the simulated 
multi-rectangular region). 
f k = The spatially averaged net infiltration rate for each watershed, k. 
(The sum runs from 1 to 11, since there are 11 watersheds.) 
Thus, . rf is calculated as a single number for each of the realizations done for this uncertainty 
analysis, and the calculated uncertainty distribution is a distribution for . rf. 
Attachment IV (Figure IV-2) shows the drawing of the four rectangles approximating the 
repository footprint with and without the contingency area (see also Figure 1-1). In the same 
attachment, Items 4 and 5 show the coordinates of these four rectangles with and without the 
contingency area. Figure IV-3 total area of all watersheds used in this analysis. Even though the 
watershed region does not cover the northeast portion of the exact footprint, Table IV-1 in 
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Analysis of Infiltration Uncertainty U0095 
Attachment IV shows that the ensemble behavior of the net infiltration rate represented by the 
spatially averaged infiltration maps over those regions have a relatively very small difference. 
For example (see Table 6-4 below), for the exact footprint (excluding the contingency area), the 
relative differences are (if IE and IA represent the exact and approximated average net 
infiltrations): 
01.0 07.0 11.0 
(| IE - IA |)/IE = 005.0 ,  004.0 ,  003.0 
92.1 57.18 23.35 
corresponding to the lower-bound, mean, and upper bound analog maps, respectively. This is 
very small relative to other sources of error in the derived net infiltration distributions. Thus, it 
is justifiable to use this four-rectangle area to estimate the ensemble behavior of the net 
infiltration in response to the parameter uncertainty input to the model. 
Table 6-4 shows the values of the spatially averaged net infiltrations for the four-rectangle region 
and the area bounded within the exact footprint, without the contingency area, for the nine 
realizations of net infiltration from present-day and monsoon climates, in addition to the glacial 
transition climate. 
Table 6-4. Comparisons between the Four-Rectangle Approximation and Exact Footprint for the Nine 
Different Net Infiltration Analog Climate Realizations 
Climate Regime Climate Analog Average Net 
Infiltration for 4Rectangle 
Approximation to 
Repository 
Footprint [mm/yr] 
Average Net 
Infiltration for 
Exact Footprint of 
Repository [mm/yr] 
% Relative 
Difference (nearest 
tenth of 1%) 
Present-day Lower 0.24 0.25 3.7 
Mean 4.21 4.20 0.2 
Upper 10.79 10.80 0.1 
Monsoon Lower 4.21 4.20 0.2 
Mean 11.95 11.86 0.8 
Upper 19.69 19.53 0.8 
Glacial-
Transition 
Lower 1.93 1.92 0.5 
Mean 18.64 18.57 0.4 
Upper 35.34 35.23 0.3 
Output-DTN: SN0309T0503100.010 
The comparisons between the spatially averaged net infiltration for the four-rectangle 
approximation and the exact footprint shown in Table 6-4 demonstrate that the four -rectangle 
approximation adequately captures the ensemble behavior of infiltration, as represented by the 
spatial average used to measure net infiltration in this analysis. (This is especially true for the 3 
glacial transition analog realization comparisons.) All of the relative differences, except for the 
lower modern (which is very small net infiltration), are less than 1%; most are significantly less 
than 1%. 
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Analysis of Infiltration Uncertainty U0095 
6.2 RESULTS OF GLACIAL-TRANSITION-CLIMATE UNCERTAINTY ANALYSIS 
The USGS provided the modeling results (DTN: GS000308311221.005 [147613]) containing 
infiltration-rate maps produced from calculations corresponding to the lower-bound, mean, and 
upper-bound analog simulations as developed in Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355], Section 6.11.3). For this analysis, these 
modeling results (containing infiltration-rate map data) were used to calculate a representative 
(analog) net infiltration rate, averaged over either of the two simulated repository footprint 
regions, corresponding to a region where (1) a contingency area was included, or (2) the 
contingency area was excluded. Both of these calculations are done using Microsoft Excel 2002 
V1.0.3506.3501 SP-1. The results of this calculation are included in Attachment IV. Thus, three 
infiltration rates, corresponding to the lower-bound, mean, and upper-bound analog simulations, 
were calculated for the simulated multi-rectangular region. These rates are, here, called analog 
values (Table 6-7). 
Results are presented below for the uncertainty analysis (1) including the contingency and (2) 
excluding the contingency area for the simulated region of the repository footprint. 
6.2.1 Uncertainty Analysis Results Including Contingency Area 
A frequency histogram of net infiltration rates also displays the locations of the analog values in 
Figure 6-2a. Figure 6-2b displays the same data as a cumulative distribution plot. These figures 
are meant to display the data found in Table 6-5 (Column 2). The distribution displayed in 
Figures 6-2a and b for the uncertain net infiltration rates has a mean of 24.1 [mm/yr] and a 
standard deviation of 17.5 [mm/yr] (see Note of Table 6-5). 
ANL-NBS-HS-000027 REV 01 46 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table 6-5. Resulting Net Infiltration Rates for 100 Realizations, Including Contingency Area 
Run Number Net Infiltration Rate 
(mm/yr) 
1. 3.06E+01 
2. 1.90E+01 
3. 1.24E+01 
4. 2.42E+01 
5. 2.20E+01 
6. 1.38E+00 
7. 1.03E+01 
8. 3.69E+01 
9. 5.31E+01 
10. 2.95E+01 
11. 7.01E+01 
12. 1.54E+01 
13. 1.49E+01 
14. 1.82E+01 
15. 1.80E+01 
16. 4.01E+01 
17. 3.09E+01 
18. 8.14E+00 
19. 5.03E+01 
20. 2.09E+01 
21. 9.58E+00 
22. 6.70E+01 
23. 8.56E+00 
24. 1.13E+01 
25. 9.10E+01 
26. 8.10E+00 
Run Number Net Infiltration Rate 
(mm/yr) 
27. 4.66E+01 
28. 3.94E+01 
29. 5.70E+01 
30. 2.42E+01 
31. 2.04E+01 
32. 4.66E+01 
33. 3.51E+01 
34. 4.34E+01 
35. 2.11E+01 
36. 3.84E+01 
37. 5.27E+00 
38. 2.98E+01 
39. 3.35E+01 
40. 2.21E+01 
41. 6.47E+00 
42. 1.38E+01 
43. 3.74E+01 
44. 2.45E+01 
45. 6.46E+00 
46. 4.91E+01 
47. 2.87E+01 
48. 7.57E+00 
49. 2.87E+01 
50. 8.61E+00 
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Analysis of Infiltration Uncertainty U0095 
Table 6-5. Resulting Net Infiltration Rates for 100 Realizations, Including Contingency Area 
(Continued) 
Run Number Net Infiltration Rate 
(mm/yr) 
51. 4.33E+01 
52. 3.52E+00 
53. 1.49E+01 
54. 1.09E+01 
55. 1.17E+01 
56. 4.73E+01 
57. 1.24E+01 
58. 4.80E+01 
59. 6.34E+00 
60. 2.24E+01 
61. 6.31E+00 
62. 2.07E+00 
63. 1.06E+01 
64. 1.83E+00 
65. 2.65E+01 
66. 1.45E+01 
67. 1.89E+01 
68. 9.8E+00 
69. 6.71E+00 
70. 3.50E+01 
71. 9.33E+00 
72. 9.19E+00 
73. 2.01E+01 
74. 1.09E+01 
75. 4.38E+01 
76. 1.21E+00 
77. 2.88E+01 
78. 1.71E+01 
79. 5.67E+01 
80. 5.35E+01 
81. 7.84E+00 
82. 7.56E+00 
Run Number 
83. 
84. 
85. 
86. 
87. 
88. 
89. 
90. 
91. 
92. 
93. 
94. 
95. 
96. 
97. 
98. 
99. 
100. 
Net Infiltration Rate 
(mm/yr) 
3.57E+01 
2.22E+01 
2.68E+01 
1.55E+01 
2.65E+00 
1.29E+01 
5.34E+00 
1.18E+01 
4.35E+01 
1.82E+01 
2.84E+01 
1.40E+01 
2.40E+01 
1.70E+01 
1.01E+01 
1.691E+01 
5.26E+01 
2.51E+01 
Output DTN: SN0308T0503100.008 
NOTE: Mean =24.1 
St Dev=17.5 
(GSLIB HISTPLT V2.01 calculates 
the standard deviation using N 
(where N is the sample size) which is 
incorrect; rather N -1 should be 
used. Thus the value of the standard 
deviation of 17.5 was obtained by 
multiplying the value from GSLIB 
HISTPLT V2.01 (SNL 2002 [158223]) 
N 
by 
.)
N -1 
ANL-NBS-HS-000027 REV 01 48 October 2003 

Analysis of Infiltration Uncertainty U0095 
6.2.2 Uncertainty Analysis Results Excluding Contingency Area 
A frequency histogram of net infiltration rates also displays the locations of the analog values in 
Figure 6-3a. Figure 6-3b displays the same data as a cumulative distribution plot. These figures 
are meant to display the data found in Table 6-6 (Column 2). The distribution displayed in 
Figures 6-3a and b for the uncertain net infiltration rates has a mean of 24.4 [mm/yr] and a 
standard deviation of 17.7 [mm/yr] (see Note of Table 6-6). 
Table 6-6. Resulting Net Infiltration Rates for 100 Realizations, Excluding Contingency Area 
Run Net Infiltration 
Number Rate (mm/yr) 
1. 3.08E+01 
2. 1.93E+01 
3. 1.27E+01 
4. 2.43E+01 
5. 2.21E+01 
6. 1.43E+00 
7. 1.04E+01 
8. 3.83E+01 
9. 5.33E+01 
10. 2.96E+01 
11. 7.14E+01 
12. 1.55E+01 
13. 1.50E+01 
14. 1.82E+01 
15. 1.82E+01 
16. 4.05E+01 
17. 3.11E+01 
18. 8.35E+00 
19. 5.03E+01 
20. 2.11E+01 
21. 9.67E+00 
22. 6.83E+01 
23. 8.65E+00 
24. 1.15E+01 
25. 9.17E+01 
26. 8.28E+00 
27. 4.76E+01 
28. 4.03E+01 
29. 5.78E+01 
30. 2.43E+01 
31. 2.08E+01 
Run Net Infiltration 
Number Rate (mm/yr) 
32. 4.73E+01 
33. 3.58E+01 
34. 4.37E+01 
35. 2.12E+01 
36. 3.86E+01 
37. 5.42E+00 
38. 2.98E+01 
39. 3.40E+01 
40. 2.22E+01 
41. 6.60E+00 
42. 1.41E+01 
43. 3.76E+01 
44. 2.51E+01 
45. 6.55E+00 
46. 4.99E+01 
47. 2.93E+01 
48. 7.72E+00 
49. 2.90E+01 
50. 8.70E+00 
51. 4.36E+01 
52. 3.58E+00 
53. 1.51E+01 
54. 1.10E+01 
55. 1.18E+01 
56. 4.75E+01 
57. 1.25E+01 
58. 4.88E+01 
59. 6.46E+00 
60. 2.26E+01 
61. 6.48E+00 
62. 2.12E+00 
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Analysis of Infiltration Uncertainty U0095 
Table 6-6. Resulting Net Infiltration Rates for 100 Realizations, Excluding Contingency Area (Continued) 
Run Net Infiltration Rate 
Number (mm/yr) 
63. 1.07E+01 
64. 1.88E+00 
65. 2.72E+01 
66. 1.46E+01 
67. 1.91E+01 
68. 1.01E+01 
69. 6.80E+00 
70. 3.60E+01 
71. 9.59E+00 
72. 9.30E+00 
73. 2.04E+01 
74. 2.38E+01 
75. 4.46E+01 
76. 1.25E+00 
77. 2.90E+01 
78. 1.72E+01 
79. 5.80E+01 
80. 5.41E+01 
81. 7.94E+00 
82. 7.74E+00 
83. 3.57E+01 
84. 2.29E+01 
85. 2.69E+01 
86. 1.55E+01 
87. 2.71E+00 
88. 1.30E+01 
89. 5.44E+00 
90. 1.19E+01 
91. 4.61E+01 
92. 1.83E+01 
93. 2.94E+01 
94. 1.41E+01 
95. 2.41E+01 
96. 1.72E+01 
Run Net Infiltration Rate 
Number (mm/yr) 
97. 1.02E+01 
98. 1.70E+01 
99. 5.40E+01 
100. 2.52E+01 
Output-DTN: SN0308T0503100.008 
NOTE: Mean =24.4 St Dev=17.7 
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Analysis of Infiltration Uncertainty U0095 
Frequency 
Net Infiltration 
0. 20. 40. 60. 80. 100. 
0.000 
0.040 
0.080 
0.120 
0.160 
Net Infiltration 
mean 24.1 
minimum 1.21 
0.200 
0.240 
0.280 
0.320 
0.360 
0.400 
0.22 
0.40 
0.38 
9.5 
17.0 
25.0 
33.02.0 
Number of Data 100 
std. dev. 17.5 
coef. of var 0.73 
maximum 91.0 
upper quartile 35.0 
median 20.3 
lower quartile 10.2 
NOTE: The lower-bound, mean, and upper-bound analog weighting factors are equal to the sums of the bin 
frequency values belonging to the net infiltration rate ranges for the corresponding analog. Bin size 
facilitates the visual evaluation of weighting factors. This plot represents data presented in Table 6-5 
(column 2) only. 
Figure 6-2a. Histogram, Including Contingency Area, of Average Annual Net Infiltration and Weighting 
Factors for Glacial Transition Climate 
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Analysis of Infiltration Uncertainty U0095 
lower-boundweig hting factors: 
Cumulative Frequency 
Net Infiltration (mm/yr) 
0. 20. 40. 60. 80. 100. 
0.00 
0.20 
0.40 
0.60 
0.80 
1.00 
Net Infiltration 
mean 24.1 
minimum 1.21 
: 
meanweighting factors: 
upper-boundweighting factors: 
Number of Data 100 
std. dev. 17.5 
coef. of var 0.73 
maximum 91.0 
upper quartile 35.0 
median 20.3 
lower quartile 10.2 
25 mm/yr (boundary between mean and upper ranges) 
9.5 mm/yr (boundary between lower and mean ranges) 
NOTE: Locations of * show the boundaries between net infiltration corresponding to lower-bound, mean, and upper-
bound climates. 
Figure 6-2b. Cumulative Distribution Plot, Including Contingency Area, of Average Annual Infiltration and 
Weighting Factors for Glacial Transition Climate 
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Analysis of Infiltration Uncertainty U0095 
Frequency 
Net Infiltration 
0. 20. 40. 60. 80. 100. 
0.000 
0.040 
0.080 
0.120 
0.160 
Net Infiltration 
mean 24.4 
minimum 1.25 
0.200 
0.240 
0.280 
0.320 
0.360 
0.400 
0.440 
0.24 
0.41 
0.35 
2.0 
10.5 
19.0 
27.0 
35.0 
Number of Data 100 
std. dev. 17.7 
coef. of var 0.73 
maximum 91.7 
upper quartile 35.8 
median 20.6 
lower quartile 10.3 
NOTE: The lower-bound, mean, and upper-bound analog weighting factors are equal to the sums of the bin 
frequency values belonging to the net infiltration rate ranges for the corresponding analog. This plot 
represents data presented in Table 6-6 (column 2) only. 
Figure 6-3a. Histogram, Excluding Contingency Area, of Average Annual Infiltration and Weighting 
Factors for Glacial Transition Climate 
ANL-NBS-HS-000027 REV 01 53 October 2003 

Analysis of Infiltration Uncertainty U0095 
Cumulative Frequency 
Net Infiltration 
0. 20. 40. 60. 80. 100. 
0.00 
0.20 
0.40 
0.60 
0.80 
1.00 
Net Infiltration 
mean 24.4 
minimum 1.25 
lower-boundweig hting factor: 
meanweighting factor: 
upper-boundweighting factor: 
Number of Data 100 
std. dev. 17.7 
coef. of var 0.73 
maximum 91.7 
upper quartile 35.8 
median 20.6 
lower quartile 10.3 
10.5 27 
NOTE: Locations of * show the boundaries between net infiltration corresponding to lower-bound, mean, and upper-
bound climates. 
Figure 6-3b. Cumulative Distribution Plot, Excluding Contingency Area, of Average Annual Infiltration 
and Weighting Factors for Glacial Transition Climate 
6.3 CALCULATION OF NET INFILTRATION WEIGHTING FACTORS FOR TSPA 
The final desired product from this uncertainty analysis was to obtain weighting factors, w1, w2, 
w3, for the lower-bound, mean, and upper-bound analog climate infiltration rate maps (USGS 
2001 [160355], Section 6.11.3). 
Subsections 6.3.1 and 6.3.2 discuss the calculation of the weighting factors for model domains 
footprints including and excluding the contingency area, respectively. 
6.3.1 Calculation Including the Contingency Area 
Figure 6-2a is a histogram of the frequency distribution of the 100 realizations in each of the 19 
bins within the lower and upper ranges of the distribution. This figure also displays the values of 
R1, R2, and R3, the lower-bound, mean, and upper-bound analog climate net infiltration rates, 
ANL-NBS-HS-000027 REV 01 54 October 2003 

Analysis of Infiltration Uncertainty U0095 
respectively, spatially averaged over the simulated multi-rectangular region representing the 
repository footprint (including the contingency area). Additionally, s and R , the standard 
deviation and mean of the uncertainty distribution, respectively, are displayed for informative 
purposes; this information is not used to determine the weighting factors. The values R1, R2, and 
R3 are rounded to the nearest millimeter per year. Figure 6-2b represents the same data as a 
cumulative distribution plot. 
Based on the skewness of the distribution of the net infiltration displayed in Figure 6-2a and the 
relative positioning of the climate analog values calculated (Attachment IV), a decision was 
made to use a simple graphical partitioning of the distribution into three parts assigned to the 
lower-bound, mean, and upper-bound climates. This method is more transparent than the 
approach used in the previous revision, REV 00, of the document (CRWMS M&O 2000 
[143244]). Then the net infiltration weighting factors for the lower-bound, mean, and upper-
bound glacial climates are determined as the cumulative probability of the occurrence of net 
infiltration rate within a range of 09.5 mm/yr (lower analog value is 2 mm/yr), 9.525 mm/yr 
(mean analog value is 17 mm/yr), and 2595 mm/yr (upper analog value is 33 mm/yr), 
respectively. Thus, the weighting factor is linked to the range of the infiltration rates for each 
climate scenario. 
In average net infiltration space, R1.2.0, R2.17.0, and R3. 33.0 in units of millimeter per year 
(Table 6-7). In addition, s . 17.5 and R . 24.1 (Table 6-5) in units of millimeter per year 
correspond to the standard deviation and the mean of the uncertainty distribution. To calculate 
the weighting factors, the ranges of the net infiltration corresponding to the lower-bound, mean, 
and upper-bound climate analogs were determined by the following ad hoc procedure. First, the 
lower-mean and mean-upper boundaries are defined using the midpoints between the low and 
mean and between the mean and upper-bound analogs, which are 9.5 mm/yr and 25.0 mm/yr, 
respectively. Then, the other two boundaries are assigned as 0.0 and 95.0 which bracket the end 
points of the distribution. The analog values are represented by dashed lines in Figure 6-2a, with 
the bin boundaries indicated by solid vertical lines). The final step in calculating the weighting 
factors is to merely add the heights (representing the fraction of realizations) of the bins located 
within the boundaries (solid lines) defining the lower-bound, mean, and upper-bound climate 
analogs. If a bin falls partially within two different climate analogs, then the bin is apportioned 
according to the fraction of that bin on each side of the corresponding boundary. For the lower-
bound climate, the average net infiltration ranges between 0.0 and 9.5, for the mean, between 9.5 
and 25.0; and for the upper-bound, between 25.0 and 95; (units are mm/year). There are two 
complete bins (moving from left to right) within the low climate analog boundaries. The mean 
climate analog contains a fraction (1/10) of the second bin and the next three complete bins. All 
of the remaining bins, of course, fall completely within the high climate analog (there are 12 of 
them), counting the included empty bins. 
Alternatively, the weighting factors can be estimated from the cumulative distribution plot 
(Figure 6-2b). The values estimated are consistent with the values determined as described in the 
previous paragraph. 
When the contributions (frequencies) of all the bins (and fractions of bins) belonging to each 
analog are summed, the values of wi are then 0.22, 0.40, and 0.38 for the weighting factors 
ANL-NBS-HS-000027 REV 01 55 October 2003 

Analysis of Infiltration Uncertainty U0095 
corresponding to the lower-bound, mean, and upper-bound climate infiltration maps, respectively 
(Output-DTN: SN0308T0503100.008). The height of the dashed lines are the values of the 
corresponding weighting factors in Figure 6-2a. 
6.3.2 Calculation Excluding the Contingency Area 
Figure 6-3a is a histogram of the distribution showing the fraction of the 100 realizations in each 
of the 19 bins within the lower and upper ranges of the distribution. This figure also displays the 
values of R1, R2, and R3, the lower-bound, mean, and upper-bound analog climate infiltration 
rate maps spatially averaged over the simulated multi-rectangular region, representing the 
repository footprint excluding the contingency area. Additionally, s and R , the standard 
deviation and mean of the uncertainty distribution, respectively, are displayed for informative 
purposes and not used to determine the weighting factors. Figure 6-3b represents the same data 
as a cumulative distribution plot. 
In average net infiltration space, R1.2.0, R2.19.0, and R3. 35.0 in units of millimeter per year 
(Table 6-7). In addition, s . 17.7 and R . 24.4 (Table 6-6) in units of millimeter per year 
correspond to the standard deviation and the mean of the uncertainty distribution. 
The widths of the segments corresponding to the lower-bound, middle, and upper-bound climate 
infiltration maps were determined by the following ad hoc procedure. First, the midpoints were 
placed between the lower and mean and between the mean and upper analogs (in averaged net 
infiltration space, i.e., 10.5 mm/yr and 27.0 mm/yr, respectively) and then as the two 
corresponding segment boundaries. In addition, the other two boundaries are 0.0 and 95.0. The 
analog values are represented by dashed lines in Figure 6-3a, with the bin boundaries indicated 
by solid vertical lines. The heights of the solid lines are the values of the corresponding 
weighting factors. The final step in calculating the weighting factors is to merely add the heights 
(representing the fraction of realizations) of the bins located within the boundaries defining the 
lower-bound, mean, and upper-bound climate analogs. If a bin falls partially within two different 
climate analogs, then the bin is apportioned according to the fraction of that bin on each side of 
the corresponding boundary. For the lower-bound climate, the boundaries fall between average 
net infiltrations between 0.0 and 10.5; for the mean, between 10.5 and 27.0, and the upper-
bound, between 27.0 and 95 (units are mm/year). There are two complete bins (moving from left 
to right) within the lower climate analog boundaries, plus a fraction (1/10) of the next bin. The 
mean climate analog contains 9/10 of this same bin plus the next two complete bins and 2/5 of 
the next. Thus 3/5 of that same bin is within the upper-bound climate analog boundaries. All of 
the remaining bins, of course, fall completely within the high climate analog (there are 13 of 
them). 
Alternatively, the weighting factors can be visually estimated from the cumulative distribution 
plot (Figure 6-3b). Here, the weighting factors are estimated from the locations of the (*) symbol 
on the vertical axis. The values estimated are consistent with the values determined as described 
in the previous paragraph. 
When the contributions (frequencies) of all the bins (and fractions of bins) belonging to each 
analog are summed, the values of wi are then 0.24, 0.41, and 0.35 for the weighting factors 
corresponding to the lower-bound, mean, and upper-bound climate infiltration maps, respectively 
ANL-NBS-HS-000027 REV 01 56 October 2003 

Analysis of Infiltration Uncertainty U0095 
(Output-DTN: SN0308T0503100.008). The heights of the dashed lines are the values of the 
corresponding weighting factors. 
Table 6-7 summarizes the results for the analog-map representative values and the weighting 
factors corresponding to the lower-bound, mean, and upper-bound climates for the glacial 
transition climate regime. 
Table 6-7. Summary of Analog Infiltration Results and Weighting Factors Calculated in This Analysis 
Glacial-
transition 
Climate 
Analog Value 
Include Contingency 
Area a, b 
Output-DTN: 
SN0309T0503100.010 
Weighting Factor c 
Include Contingency 
Area a, b 
Output-DTN: 
SN0308T0503100.008 
Analog Value 
Exclude Contingency 
Area a, b 
Output-DTN: 
SN0309T0503100.010 
Weighting Factor c 
Exclude Contingency 
Area a,b 
Output-DTN 
SN0308T0503100.008 
Lower-
bound 2.0 [mm/yr] 0.22 2.0 [mm/yr] 0.24 
Mean 17.0 [mm/yr] 0.40 19.0 [mm/yr] 0.41 
Upper-
bound 33.0 [mm/yr] 0.38 35.0 [mm/yr] 0.35 
a
NOTES: Analog values are calculated using the infiltration rate maps calculated by the USGS for the 
lower-bound, mean, and upper-bound glacial transition climates (DTN: GS000308311221.005 
[147613]) averaged over the simulated multi-rectangular region including and excluding the 
contingency area (Figure 1-1). 
The calculated analog values for the approximate multi-rectangular regions including and 
excluding the contingency area are, respectively, 1.78, 17.35, and 32.93 mm/yr and 1.93, 18.64, 
and 35.34 for the lower-bound, mean, and upper-bound glacial transition climates (Attachment 
IV). The values in the table (Columns 2 and 4) and used to calculate the weighting factors have 
been rounded to the nearest mm/yr. The minor differences between the calculated means for 
the exact and simulated footprint (see Attachment IV) are consistent with expected differences, 
because of the differences in the two areas. The rectangular area is larger than the potential 
repository area (see Figure 1-1) and includes locations with relatively higher estimates of net 
infiltration, which causes a slight increase in the means calculated for the rectangular area 
relative to the mean calculated for the potential repository area. 
b 
Weighting factors are calculated as discussed in Section 6.3.1, 6.3.2 
6.4 SUMMARY OF UNCERTAINTY ANALYSIS 
An uncertainty analysis was performed using the LHS technique. The calculation consisted of a 
set of 100 realizations (see Attachment III) of the selected set of 12 uncertain input parameters 
(Table 6-3). Column 2 in Tables 6-5 and 6-6 represent the resulting net infiltrations averaged 
over the simulated repository footprint, including and excluding the contingency area. The net 
infiltration map realizations result from the propagation of the resulting input sample space 
through the infiltration model, INFIL VA_2.a1 (SNL 2001 [147608]). Each of the rate maps (for 
every realization) is spatially averaged over the simulated repository footprint (Attachment IV) 
to obtain a single distribution. Each distribution is displayed as a frequency histogram (Figures 
6-2a and 6-3a) for the net infiltrations. Likewise, the three net infiltration rate maps for the 
lower-bound, mean, and upper-bound climates (DTN: GS000308311221.005 [147613] are 
spatially averaged over the repository footprint in this analysis, as discussed in Attachment IV. 
These spatially averaged maps for the analog climates are referred to, here, as analog values. 
In Figures 6-2a and 6-3a, the graphical locations of the analog values are represented by three 
values along the horizontal axis for the calculations including and excluding the contingency 
ANL-NBS-HS-000027 REV 01 57 October 2003 

Analysis of Infiltration Uncertainty U0095 
areas, respectively. The appropriate distribution is partitioned according to the method described 
in Section 6.3.1 or in 6.3.2. The resulting ranges of average net infiltration belonging to the 
lower-bound, mean, and upper-bound climates are defined by this partition. Thus, the weighting 
factors corresponding to these sets of ranges are determined by the frequency of net infiltration 
maps whose spatial average over the footprint fall within that range. 
An inspection of Figures 6-2 and 6-3 reveals that the value of the somewhat relatively large 
weight for the upper-bound analog value is reflected in the fact that the distribution is skewed 
toward values to the right of the mean, though there is a high density of values within the 
midrange of the distribution. Note that the upper quartile boundary is almost exactly the same as 
the upper-bound analog value. Approximately 25% of the infiltration map realizations have 
larger amounts of net infiltration than that corresponding to the upper-bound analog map. This 
may reflect the effects of lognormally distributed input such as bedrock permeability, which has 
a strong effect on infiltration, as discussed in Flint et al. (2001 [164506]). 
One standard deviation to the right of the mean of the distribution is between 41 and 42 mm/yr, 
and two standard deviations to the right is between 59 and 60 mm/yr; the latter includes all but 
the three greatest values of net infiltration (for either footprint option). Thus, 97% of the 
distribution is within 2s of the mean,  (i.e., 97% is within  +/- 2s). Thus, the upper-bound 
weighting factor is essentially determined within 2s of . 
6.4.1 Discussion of Sensitivity Results 
A sensitivity analysis using Microsoft Excel 2000 (V.9.0.5121 SR-1, using the CORREL 
function), shows that the most significant parameter for net infiltration is precipitation (Table 68, 
Column 5), followed by soil depth (Table 6-8, Column 4), potential evapotranspiration (Table 
6-8, Column 6), and bedrock permeability (Table 6-8, Column 7). Table 6-8 (from Excel) shows 
all twelve sampled input parameters with the calculated correlation coefficients, based on the 
equation: 
1 
n 
. (x- )( y-y)
i xi
ni=1
.=
xy
, ss
xy (Eq. 6-2) 
where  is the mean and n is the number of samples. The nominator is the covariance, and s is 
the standard deviation. 
Table 6-8. Correlation Coefficients between Uncertain Input Parameters and Output Net Infiltrations 
(excluding the contingency area), from Microsoft Excel 2000 
Parameter index in LHS X(1) X(2) X(3) X(4) X(5) X(6) 
Parameter ID BRPOROS BRZDepth soildepm precipm potermul brperm 
Correlation Coefficient -0.091 -0.050 -0.493 0.638 -0.341 0.236 
Parameter index in LHS X(7) X(8) X(9) X(10) X(11) X(12) 
Parameter ID soilperm etcoeffa etcoeffb flarea subpar1 snowpar2 
Correlation Coefficient 0.009 -0.098 -0.185 -0.029 0.022 0.047 
Output DTN: SN0309T0503100.011 
NOTE: If the parameter BRPERM, which has a lognormal distribution, is log-
transformed, the resulting parameter has a correlation of 0.305 
SOILPERM also has a lognormal distribution but does not have a significant 
correlation coefficient 
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Analysis of Infiltration Uncertainty U0095 
6.4.2 Deterministic Mean Net Infiltration Result Using Tule Lake 
An additional deterministic (not statistical) calculation was performed to evaluate the aggregate 
(spatial) net infiltration (within the simulated region excluding the contingency area) applying 
the mean values from the uncertain parameter distributions to the climate input represented in the 
Tule Lake input file, Tulelake.inp (used in the uncertainty analysis). In other words, all of the 
sampled parameters have the mean value assigned (for multipliers, this value is 1.0). See 
Attachment V for documentation of the input used in this calculation. 
The resulting net infiltration is 17.8 mm/yr. This value is 0.8 mm/yr, or about 4% smaller than 
the value obtained from the USGS (DTN: GS000308311221.005 [147613]) for the simulated 
region in this analysis. However, the mean precipitation in Tulelake.inp is 278 mm/yr, less than 
the mean value from the infiltration report for the potential repository region (USGS 2001 
[160355], Table 6-19) of 323 mm/year. In addition, the mean daily temperature in Tulelake.inp is 
about 8 Celsius, and the mean temperatures used in the lower-bound and upper-bound glacial 
transition climates were both approximately 9-10 Celsius, respectively (USGS 2001 [160355], 
Table 6-6). The difference in average annual precipitation will reduce the net infiltration for Tule 
Lake relative to the mean calculated in the infiltration report for a similar region. The 
temperature difference is quite small, though a warmer average air temperature may imply a little 
more evapotranspiration; the effect on net infiltration is not nearly as significant as the effect 
caused by the average annual precipitation differences, as shown in the sensitivity analysis. 
Though precipitation is the most important parameter affecting infiltration, average annual 
precipitation is not necessarily a good indicator of infiltration. This is because (1) heavy 
precipitation events at Yucca Mountain are episodic (USGS 2001 [160355], Sections 6.3.4) and 
(2) below a threshold precipitation amount, at most negligible infiltration will occur due to 
competing processes removing soil water content (e.g., evapotranspiration, runoff). Furthermore, 
the 2001 infiltration numerical model footprint boundary (where the data in USGS 2001 
[160355], Tables 6-6 and 6-19, are applicable) includes an area on the southwest side with 
relatively large infiltrations (USGS 2001 [160355], Figure 6-36) that is no longer within the 
current design LA footprint (nor the specific region simulated in this analysis, Figure IV-2). 
Thus, it is difficult to conclude whether Tule Lake is underpredicting or overpredicting net 
infiltration as a mean glacial-transition-climate analog relative to the lower-bound or upper-
bound climate analogs used in the infiltration report. 
6.5 FEPS DISCUSSION 
Table 6-9 summarizes the features, events, and processes (FEPs) that were taken from the LA 
FEP List (DTN: MO0307SEPFEPS4.000 [164527]). The LA FEP List is a revision of the 
previous project FEP list (Freeze et al. 2001 [154365]) used to develop the list of included FEPs 
in the Technical Work Plan for: Performance Assessment Unsaturated Zone (BSC 2002 
[160819], Table 2-6). The selected FEPs are those taken from the LA FEP List that are 
associated with the subject matter of this report, regardless of the anticipated status for exclusion 
or inclusion in TSPA-LA as represented in BSC (2002 [160819]). The results of this analysis are 
part of the basis for the treatment of FEPs as discussed in the Total System Performance 
Assessment-License Application Methods and Approach (BSC 2002 [160146], Section 3.2.2). 
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Analysis of Infiltration Uncertainty U0095 
The cross-reference for each FEP to the relevant subsection (or subsections) of this report is also 
given below. 
Below in Table 6-9 are summary descriptions and documentation of the inclusion of the 
applicable FEPs as incorporated in this analysis. 
Table 6-9. Table of FEPs 
LA FEP 
Number FEP Name YMP Description Section 
Discussed 
Treatment of FEP in This Report Including 
Disposition 
1.2.02.01.0A Fractures Groundwater flow in the Yucca 
Mountain region and transport of any 
released radionuclides may take 
place along fractures. The rate of 
flow and the extent of transport in 
fractures are influenced by 
characteristics such as orientation, 
aperture, asperity, fracture length, 
connectivity, and the nature of any 
linings or infills. 
6.1.2 The disposition of the FEP1.2.02.01.0A is handled by 
incorporation of the fracture parameters bedrock 
permeability (BRPERM) and the bedrock porosity) 
(BRPOROS ) that are included implicitly in the 
determination of the weighting factors. 
The uncertainties for these parameters are described 
in Table 6-2 and 6-3. These uncertainties are 
propagated through the infiltration numerical model 
and so are implicitly included in the output (weighting 
factors) that is passed to TSPA-LA (Output-DTN: 
SN0308T0503100.008). 
1.3.01.00.0A Climate 
change 
Climate change may affect the long-
term performance of the repository. 
This includes the effects of long-term 
change in global climate (e.g., 
glacial/interglacial cycles) and 
shorter-term change in regional and 
local climate. Climate is typically 
characterized by temporal variations 
in precipitation and temperature. 
*6.1, 6.2, 6.3 Climate change is incorporated in this report through 
the use of the analog climate (lower-bound, mean, and 
upper-bound) infiltration rate maps (see Table 6-7, 
DTN: GS000308311221.005 [147613]) developed by 
the USGS in the report Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 
[160355]) by using the climate analog data as direct 
input. 
It is incorporated implicitly by inclusion of the spatial 
average analog net infiltration rate maps in the 
calculation of the weighting factors which are passed 
to TSPA-LA (Output-DTN: SN0308T0503100.008). 
2.2.03.02.0A Rock 
properties of 
host rock and 
other units 
Physical properties such as porosity 
and permeability of the relevant rock 
units, soils, and alluvium are 
necessary for the Performance 
Assessment. Possible 
heterogeneities in these properties 
should be considered. Questions 
concerning events and processes 
that may cause these physical 
properties to change over time are 
considered in other FEPs 
6.1.2.1, 
6.1.2.2, 
6.1.2.3 
This FEP disposition is through inclusion of the 
fracture parameters bedrock permeability (BRPERM) 
and bedrock porosity (BRPOROS). 
The uncertainties for these parameters are described 
in Tables 6-2 and 6-3. These uncertainties are 
propagated through the infiltration numerical model 
and so are implicitly included in the output (weighting 
factors) that is passed to TSPA-LA (Output-DTN: 
SN0308T0503100.008). Heterogeneities in these 
properties are included in the input used in the 
analysis reported in Simulation of Net Infiltration for 
Modern and Potential Future Climates (USGS 2001 
[160355]). 
2.2.07.01.0A Locally 
saturated flow 
at bedrock/ 
alluvium 
contact 
The YMP description is In washes in 
arid areas, infiltration can descend to 
the alluvium/bedrock interface and 
then proceed down the wash at that 
interface as a saturated flow system 
distant from the surface and distinct 
from the local water table. 
6.1.2 Flow through the alluvium/bedrock interface is 
incorporated into the uncertainty analysis using the 
uncertain parameters such as soil depth (SOILDEPM), 
the soil permeability (SOILPERM), and the effective 
bedrock permeability (BRPERM). 
It is incorporated implicitly by inclusion of uncertainty in 
the soil depth, the soil permeability, and the effective 
bedrock permeability in the calculation of the weighting 
factors which are passed to TSPA-LA (Output-DTN: 
SN0308T0503100.008). 
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Analysis of Infiltration Uncertainty U0095 
Table 6-9. Table of FEPs (Continued) 
LA FEP 
Number 
FEP Name YMP Description Section 
Discussed 
Treatment of FEP inThis Report Including 
Disposition 
2.2.07.08.0A Fracture flow 
in the UZ 
Fractures or other analogous channels 
act as conduits for fluids to move into the 
subsurface to interact with the repository 
and as conduits for fluids to leave the 
vicinity of the repository and be 
conducted to the SZ. Water may flow 
through only a portion of the fracture 
network, including flow through a 
restricted portion of a given fracture 
plane. 
6.1.2.1, 
6.1.2.2, 
6.1.2.3 
This FEP is implicitly included in the determination 
of the weighing factors fed to TSPA-LA (Output-
DTN: SN0308T0503100.008). This FEP is 
incorporated in the uncertain parameters describing 
the bedrock permeability multiplier (BRPERM) and 
bedrock porosity (BRPOROS). 
2.3.01.00.0A Topography 
and 
morphology 
The YMP description is This FEP is 
related to the topography and surface 
morphology of the disposal region. 
Topographical features include outcrops 
and hills, water-filled depressions, 
wetlands, recharge areas, and discharge 
areas. Topography, precipitation, and 
surficial permeability distribution in the 
system will determine the flow boundary 
conditions, i.e. location and amount of 
recharge and discharge in the system. 
6.1.2 Topographical features, precipitation, and surficial 
permeability distribution are incorporated into the 
INFIL (V2.0 (USGS 2001 [139422]) or VA_2.a1 
(SNL 2001 [147608])) model while precipitation and 
surficial permeability distribution are also 
incorporated into the uncertainty analysis. 
Topographical features are captured in the INFIL 
(V2.0 (USGS 2001 [139422]) or VA_2.a1 (SNL 
2001 [147608])) model using data from the Digital 
Elevation Model (DEM). Precipitation and the 
surficial permeability distribution are captured in the 
uncertainty analysis using the precipitation 
multiplier (PRECIPM), the soil permeability 
multiplier (SOILPERM), and the effective bedrock 
permeability multiplier (BRPERM). 
It is incorporated implicitly by inclusion of 
uncertainty in the precipitation multiplier, soil 
permeability multiplier, and effective bedrock 
permeability multiplier in the calculation of the 
weighting factors which are passed to TSPA-LA 
(Output-DTN: SN0308T0503100.008). 
2.3.11.01.0A Precipitation Precipitation is an important control on 
the amount of recharge. It transports 
solutes with it as it flows downward 
through the subsurface or escapes as 
runoff. The amount of precipitation 
depends on climate 
6.1.2 Precipitation is incorporated in this analysis through 
the precipitation-rate multiplier (Table 6-3 and 
Section 6.1.2). The precipitation-rate multiplier 
operates on the precipitation rate, as prescribed in 
the input file TULELAKE.INP, which contains the 
precipitation record for the selected mean glacial-
transition-climate analog site, within the infiltration 
model software, INFIL VA_2.a1 (SNL 2001 
[147608]) (and also INFIL V2.0; USGS 2001 
[139422]). 
2.3.11.02.0A Surface 
runoff and 
flooding 
The YMP description is Surface runoff 
and evapotranspiration are components 
in the water balance, together with 
precipitation and infiltration. They can 
also be important vehicles for the 
dispersion of contaminants. Surface 
runoff produces erosion, and can feed 
washes, arroyos, and impoundments, 
where flooding may lead to increased 
recharge. 
6.1.2 Evapotranspiration is incorporated in this analysis 
through the two evapotranspiration coefficient-rate 
multipliers (Table 6-3 and Section 6.1.2.). The 
evapotranspiration rate multiplier operates on the 
evapotranspiration rate, as calculated within the 
infiltration model software, INFIL VA_2.a1 (SNL 
2001 [147608]) (and also INFIL V2.0; USGS 2001 
[139422]). Surface runoff is also incorporated 
through the inclusion of a parameter that defines 
the fraction of each grid cell in the infiltration model 
that is affected by overland flow and channel flow 
during the routing of runoff (FLAREA). 
It is incorporated implicitly by inclusion of 
uncertainty in the fraction of each grid cell in the 
infiltration model that is affected by overland flow 
and channel flow during the routing of runoff 
(FLAREA) in the calculation of the weighting factors 
which are passed to TSPA-LA (Output-DTN: 
SN0308T0503100.008). 
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Analysis of Infiltration Uncertainty U0095 
Table 6-9. Table of FEPs (Continued) 
LA FEP FEP YMP Description Section Treatment of FEP in This Report Including 
Number Name Discussed Disposition 
2.3.11.03.0A Infiltration 
and 
recharge 
Infiltration into the subsurface provides a 
boundary condition for groundwater flow. 
The amount and location of the infiltration 
influences the hydraulic gradient and the 
height of the water table. Different 
sources of recharge water could change 
the chemistry of groundwater passing 
through the repository. Mixing of these 
waters with other groundwaters could 
result in precipitation, dissolution, and 
altered chemical gradients. 
1.1, 6.1.2.1 Infiltration uncertainty as it applies to the 
determination of weighting factors fed to TSPA-LA 
(Output-DTN: SN0308T0503100.008) is a main 
focus of this report. The way it is handled is 
summarized in Subsections 1.1 paragraph 3. 
TSPA License Application (LA) has included three 
distinct climate regimes in the comprehensive 
repository performance analysis for Yucca 
Mountain: present-day, monsoon, and glacial 
transition. Each climate regime was characterized 
using three infiltration-rate maps, including a lower-
and upper-bound and a mean value (equal to the 
average of the two boundary values). For each of 
these maps, which were obtained based on analog 
site climate data, a spatially averaged value was 
also calculated by the USGS. For a more detailed 
discussion of these infiltration-rate maps, see 
Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355]). 
For this Scientific Analysis Report, spatially 
averaged values were calculated for the lower-
bound, mean, and upper-bound climate analogs 
only for the glacial transition climate regime, within 
the simulated multi-rectangular region 
approximating the repository footprint, shown in 
Figure 1-1. (For brevity, these maps will be referred 
to as the analog maps, and the corresponding 
averaged net infiltration values as the analog 
values.)  
and 6.1.2.1, paragraph 1: 
This uncertainty analysis uses the mean and 
ranges of uncertain parameters (upper and lower 
bounds), parameter distribution types (normal, 
lognormal, or uniform), and correlation values (all 
parameters have values of zero) between 
parameters for selected model input parameters 
considered potentially significant to evaluate the net 
infiltration uncertainties. The names and types of 
the 12 uncertain parameters that were selected for 
sampling for the glacial transition climate scenario 
are shown in Table 6-1. 
The net infiltration maps (DTN: 
GS000308311221.005 [147613]) which define a 
boundary condition for groundwater flow in the 
unsaturated zone are generated in the report 
Simulation of Net Infiltration for Modern and 
Potential Future Climates (USGS 2001 [160355]). 
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Analysis of Infiltration Uncertainty U0095 
6.6 DISCUSSION OF BARRIER CAPABILITY 
The surficial soils and underlying few meters of bedrock itself are natural barriers to downward 
water infiltration. The surficial soils function as a barrier by diverting runoff (because some 
water is arriving as precipitation and runon) and by storing the remainder of water so that some 
of it is removed by ET. Substantial amount of surface water thus diverted or evaporated cannot 
present a source of net infiltration (USGS 2001 [160355], p. 23). Based on the mean analog 
values of the precipitation and net infiltration for the lower-bound, mean, and upper-bound 
glacial climate (USGS 2001 [160355], Table 6-19), Table 6-10 lists the estimated percentage of 
net infiltration over precipitation. This table indicates that only 1.1%, 6.1%, and 8.5% of 
precipitation may become net infiltration for the lower-, mean- and upper-bound glacial 
transition climate, respectively. 
Table 6-10. Percentage of Net Analog Infiltration over Precipitation for Glacial Transition Climates over 
the Repository Footprint (data from USGS 2001 [160355], Table 6-19) 
Glacial Transition 
Climate States 
Precipitation 
(mm/year) 
Net Infiltration 
(mm/year) 
Net Infiltration % 
Lower-bound 205.5 2.2 1.1 
Mean 323.1 19.8 6.1 
Upper-bound 440.6 37.3 8.5 
This report directly addresses the uncertainty associated with the infiltration model for this 
barrier. This is accomplished quantitatively in Section 6; further qualitative discussion of 
uncertainty in the infiltration model follows in the infiltration report (USGS 2001 [160355], 
Section 7.2). Furthermore, the weighting factors developed in this report for the glacial transition 
climate for the entire compliance period strengthens the performance assessment done in TSPALA 
by adding conservatism to the infiltration calculation as it is incorporated into the 
performance assessment model for TSPA-LA. 
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INTENTIONALLY LEFT BLANK 
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Analysis of Infiltration Uncertainty U0095 
7. CONCLUSIONS 
7.1 SUMMARY 
A set of uncertain input parameters (Table 6-3), based on probability density function 
characterizing climatic conditions and soil/rock properties, was developed and used to perform a 
probabilistic analysis of the net infiltration uncertainty for the glacial transition climate regime 
(Output-DTN: SN0309T0503100.009). The Output-DTN: SN0309T0503100.011 was a 
statistical tool developed to technically support the distributions ascribed to the set of uncertain 
input parameters (see Section 6.1.2.1.) The uncertainty analysis was performed using 100 
realizations of the set of uncertain input parameters to generate corresponding net infiltration 
maps, using the computer code INFIL VA_2.a1 (SNL 2000 [147608]). For each realization, a 
single representative net infiltration rate is obtained by calculating the spatially averaged net 
infiltration rate over a multi-rectangular region (see Figure 1-1), approximating the footprint of 
the repository. The uncertainty analysis was provided for two possible repository footprints, one 
that included a potential contingency disposal area, and one that did not. The time duration for 
this glacial transition climate regime covered most of the 10,000-year performance period (from 
2,000-10,000 years) considered for TSPA-LA. 
For each of the two possible repository footprints, we determined a frequency histogram of the 
net infiltration rate resulting from the set of 100 realizations. The averaged net infiltration rates 
provided by the USGS (DTN: GS000308311221.005 [147613]) were then used (as direct input) 
to determine the average net infiltration over the simulated repository footprint. The output 
technical product of the computation (Output-DTN: SN0309T0503100.010) discussed in 
Attachment IV (see also Table 6-7) were then used to partition each of the histograms (with and 
without the contingency area) into three parts, corresponding to the lower-bound, mean, and 
upper-bound glacial-transition-climate net infiltration rates. In this way, the uncertainty 
distributions were used to determine weighting factors for the range of the net infiltration rates, 
characterizing each of these climates (Output-DTN: SN0308T0503100.008). The results are 
based on input that is qualified, and are displayed in Table 7-1. 
Table 7-1. Weighting Factors of the Net Infiltration Rates to be Used by TSPA for the Glacial Transition 
Lower-Bound, Mean, and Upper-Bound Analog Infiltration-Rate Maps 
Symbol 
Area Including Contingency 
Output-DTN: 
SN0308T0503100.008 
Area Excluding Contingency 
Output-DTN: 
SN0308T0503100.008 Climate 
Weighting 
Factor 
Net Infiltration 
Rate, mm/yr. 
Weighting 
Factor 
Net Infiltration 
Rate, mm/yr. 
w1 0.22 09.5 0.24 010.5 Lower-bound 
w2 0.40 9.525 0.41 10.527.0 Mean 
w3 0.38 2595 0.35 27.095 Upper-bound 
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Analysis of Infiltration Uncertainty U0095 
7.2 LIMITATIONS AND UNCERTAINTIES 
This uncertainty analysis should be evaluated with the following considerations: 
 Input parameters used for the uncertainty analysis of the net infiltration for the glacial 
transition climate present a combination of the aleotoric parameters (spatially variable) 
and epistemic (based on the degree of current knowledge of changes of climatic 
conditions and soil/rock properties). 
 It is possible that the lognormal probability distribution of the permeability (with high 
permeability values typical for saturated fractures) significantly influences the net 
infiltration uncertainty distribution and overestimates the net-infiltration weighting 
factors for the upper-bound glacial transition state. 
7.2.1 Statistical Limitations and Uncertainties 
Limitations on the number of potential samples are driven by the number and size of watersheds 
used in the analysis. The limitations in the input distributions and their ranges are propagated 
through the analysis to the output net infiltration-rate distributions. In addition, all of the 
irreducible uncertainties inherent to infiltration phenomena and reducible uncertainties, such as 
those caused by measurement error, that may produce uncertainty in the results reported in 
Simulation of Net Infiltration for Modern and Potential Future Climates (USGS 2001 [160355]), 
are implicitly incorporated in this scientific analysis report. Clearly this analysis depends directly 
and to a great extent on the inputs and results produced by the infiltration numerical model, 
INFIL V A_2.a1 (SNL 2000 [147608]) (numerically equivalent to INFIL V2.0 (USGS 2001 
[139422]). Thus, the accuracy and precision of the present analysis is limited by the accuracy 
and precision of the infiltration numerical model (USGS 2001 [160355]). 
7.3 GENERAL IMPACT OF UNRESOLVED TECHNICAL INFORMATION 
This document may be affected by technical product input information that requires 
confirmation. The status of the input information quality may be confirmed by review of the 
Document Input Reference System (DIRS) database. 
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Analysis of Infiltration Uncertainty U0095 
8. INPUTS AND REFERENCES 
The following is a list of the references cited in this document. Column 1 represents the unique 
six digit numerical identifier (the Document Input Reference System [DIRS] number), which is 
placed in the text following the reference callout (e.g., BSC 2002 [160819]). The purpose of 
these numbers is to assist the reader in locating a specific reference. Within the reference list, 
multiple sources by the same author (e.g., BSC 2002) are sorted alphabetically by title. 
8.1 CITED DOCUMENTS 
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MD-000005 REV 00. Las Vegas, Nevada: Bechtel SAIC Company. ACC: 
MOL.20011211.0095. 
158794 BSC (Bechtel SAIC Company) 2002. Guidelines for Developing and Documenting 
Alternative Conceptual Models, Model Abstractions, and Parameter Uncertainty in 
the Total System Performance Assessment for the License Application. TDR-WIS-
PA-000008 REV 00, ICN 01. Las Vegas, Nevada: Bechtel SAIC Company. ACC: 
MOL.20020904.0002. 
159527 BSC (Bechtel SAIC Company) 2002. Repository Design, Repository/PA IED 
Subsurface Facilities Plan Sht. 1 of 5, Sht. 2 of 5, Sht. 3 of 5, Sht. 4 of 5, and Sht. 5 of 
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Assessment Unsaturated Zone. TWP-NBS-HS-000003 REV 02. Las Vegas, Nevada: 
Bechtel SAIC Company. ACC: MOL.20030102.0108. 
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Application Methods and Approach. TDR-WIS-PA-000006 REV 00. Las Vegas, 
Nevada: Bechtel SAIC Company. ACC: MOL.20020923.0175. 
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Engineers. TIC: 238300. 
163705 Gilbert, R.O. 1987. Statistical Methods for Environmental Pollution Monitoring. 
New York, New York: John Wiley & Sons. TIC: 252619. 
164070 Guertal, W. 2001. Seepage into Alcove 1. Scientific Notebook SN-USGS-SCI-108-
V1. ACC: MOL.20011219.0325. 
164071 Guertal, W. 2001. Seepage into Alcove 1. Scientific Notebook SN-USGS-SCI-108-
V2. ACC: MOL.20011219.0326. 
156572 Helton, J.C. and Davis, F.J. 2000. Sampling-Based Methods for Uncertainty and 
Sensitivity Analysis. SAND99-2240. Albuquerque, New Mexico: Sandia National 
Laboratories. TIC: 251256. 
163475 Helton, J.C. and Davis, F.J. 2002. Latin Hypercube Sampling and the Propagation of 
Uncertainty in Analyses of Complex Systems. SAND2001-0417. Albuquerque, New 
Mexico: Sandia National Laboratories. TIC: 254367. 
100951 Helton, J.C.; Bean, J.E.; Berglund, J.W.; Davis, F.J.; Economy, K.; Garner, J.W.; 
Johnson, J.D.; MacKinnon, R.J.; Miller, J.; OBrien, D.G.; Ramsey, J.L.; Schreiber, 
J.D.; Shinta, A.; Smith, L.N.; Stoelzel, D.M.; Stockman, C.; and Vaughn, P. 1998. 
Uncertainty and Sensitivity Analysis Results Obtained in the 1996 Performance 
Assessment for the Waste Isolation Pilot Plant. SAND98-0365. Albuquerque, New 
Mexico: Sandia National Laboratories. TIC: 238277. 
127858 Helton, J.C.; Garner, J.W.; McCurley, R.D.; and Rudeen, D.K. 1991. Sensitivity 
Analysis Techniques and Results for Performance Assessment at the Waste Isolation 
Pilot Plant. SAND90-7103. Albuquerque, New Mexico: Sandia National 
Laboratories. ACC: NNA.19930104.0089. 
116809 Hevesi, J.A.; Flint, A.L.; and Istok, J.D. 1992. Precipitation Estimation in 
Mountainous Terrain Using Multivariate Geostatistics. Part II: Isohyetal Maps. 
Journal of Applied Meteorology, 31, (7), 677-688. Boston, Massachusetts: American 
Meteorological Society. TIC: 225248. 
165064 Iman, R.L. and Conover, W.J. 1982. Sensitivity Analysis Techniques: Self-Teaching 
Curriculum. NUREG/CR-2350. Washington, D.C.: U.S. Nuclear Regulatory 
Commission. ACC: HQS.19880517.2724. 
100905 Iman, R.L. and Shortencarier, M.J. 1984. A FORTRAN 77 Program and Users 
Guide for the Generation of Latin Hypercube and Random Samples for Use with 
Computer Models. NUREG/CR-3624. Washington, D.C.: U.S. Nuclear Regulatory 
Commission. TIC: 224592. 
ANL-NBS-HS-000027 REV 01 69 October 2003 

Analysis of Infiltration Uncertainty U0095 
100153 LeCain, G.D. 1997. Air-Injection Testing in Vertical Boreholes in Welded and 
Nonwelded Tuff, Yucca Mountain, Nevada. Water-Resources Investigations Report 
96-4262. Denver, Colorado: U.S. Geological Survey. ACC: MOL.19980310.0148. 
100052 LeCain, G.D. 1998. Results from Air-Injection and Tracer Testing in the Upper Tiva 
Canyon, Bow Ridge Fault, and Upper Paintbrush Contact Alcoves of the Exploratory 
Studies Facility, August 1994 through July 1996, Yucca Mountain, Nevada. Water-
Resources Investigations Report 98-4058. Denver, Colorado: U.S. Geological 
Survey. ACC: MOL.19980625.0344. 
163183 Levitt, D.G.; Lohrstorfer, C.F.; Sully, M.J.; and Ginanni, J.M. 1996. An Arid Zone 
Lysimeter Facility for Performance Assessment and Closure Investigations at the 
Nevada Test Site. HLW, LLW, Mixed Wastes and Environmental Restoration  
Working Towards a Cleaner Environment, WM 96, Proceedings, February 25-29, 
1996, Tucson, Arizona. Tucson, Arizona: Laser Options. TIC: 254421. 
163191 Levitt, D.G.; Sully, M.J.; and Lohrstorfer, C.F. 1996. Modeling Evapotranspiration 
from Arid Environments: Literature Review and Preliminary Model Results. Las 
Vegas, Nevada: Bechtel Nevada. TIC: 254273. 
162470 Liu, H-H.; Haukwa, C.B.; Ahlers, C.F.; Bodvarsson, G.S.; Flint, A.L.; and Guertal, 
W.B. 2003. Modeling Flow and Transport in Unsaturated Fractured Rock: An 
Evaluation of the Continuum Approach. Journal of Contaminant Hydrology, 62-63, 
173-188. New York, New York: Elsevier. TIC: 254205. 
125317 Maidment, D.R., ed. 1993. Handbook of Hydrology. New York, New York: 
McGraw-Hill. TIC: 236568. 
162947 McCurley, R. 2003.  Evaluation of the Occurrence of Termite Species and 
Potential Termite Burrowing Depths in the Area of the Nevada Test Site: Present 
Data and for the Next 10,000 Years by Myles, T.G. and Hooten, M.M. 
Memorandum from R. McCurley (SNL) to Records Processing Center (RPC), 
October 22, 2003, with attachment. ACC: MOL.20031023.0116. 
127905 McKay, M.D.; Beckman, R.J.; and Conover, W.J. 1979. A Comparison of Three 
Methods for Selecting Values of Input Variables in the Analysis of Output from a 
Computer Code. Technometrics, 21, (2), 239-245. Alexandria, Virginia: American 
Statistical Association. TIC: 221741. 
149850 Mongano, G.S.; Singleton, W.L.; Moyer, T.C.; Beason, S.C.; Eatman, G.L.W.; Albin, 
A.L.; and Lung, R.C. 1999. Geology of the ECRB Cross Drift - Exploratory Studies 
Facility, Yucca Mountain Project, Yucca Mountain, Nevada. [Deliverable 
SPG42GM3]. Denver, Colorado: U.S. Geological Survey. ACC: 
MOL.20000324.0614. 
163274 NRC (U.S. Nuclear Regulatory Commission) 2003. Yucca Mountain Review Plan, 
Final Report. NUREG-1804, Rev. 2. Washington, D.C.: U.S. Nuclear Regulatory 
Commission, Office of Nuclear Material Safety and Safeguards. TIC: 254568. 
ANL-NBS-HS-000027 REV 01 70 October 2003 

Analysis of Infiltration Uncertainty U0095 
125321 Priestley, C.H.B. and Taylor, R.J. 1972. On the Assessment of Surface Heat Flux 
and Evaporation Using Large-Scale Parameters. Monthly Weather Review, 100, (2), 
81-92. Washington, D.C.: U.S. Department of Commerce. TIC: 235941. 
125981 Rechard, R.P. 1996. An Introduction to the Mechanics of Performance Assessment 
Using Examples of Calculations Done for the Waste Isolation Pilot Plant Between 
1990 and 1992. SAND93-1378 Revised. Albuquerque, New Mexico: Sandia 
National Laboratories. TIC: 245715. 
128001 Rundel, P.W. and Nobel, P.S. 1991. Structure and Function in Desert Root 
Systems. Plant Root Growth, An Ecological Perspective, Special Publication 
Number 10, 349-378. London, England: Blackwell Scientific Publications. TIC: 
242299. 
163930 Saliby, E. and Pacheco, F. 2002. An Emperical Evaluation of Sampling Methods in 
Risk Analysis Simulation: Quasi-Monte Carlo, Descriptive Sampling, and Latin 
Hypercube Sampling. Proceedings of the 2002 Winter Simulation Conference, [San 
Diego, California, December 8-11, 2002]. Ycesan, E.; Chen, C.-H.; Snowdon, J.L.; 
and Charnes, J.M.; eds. 1606-1610. [New York, New York: Institute of Electrical 
and Electronics Engineers]. TIC: 254434. 
154246 USDA (U.S. Department of Agriculture) 1994. State Soil Geographic (STATSGO) 
Data Base, Data Use Information. Miscellaneous Publication Number 1492. 
Washington, D.C.: U.S. Department of Agriculture, Natural Resources Conservation 
Service, National Soil Survey Center. TIC: 249639. 
158378 USGS (U.S. Geological Survey) 2001. Future Climate Analysis. ANL-NBS-GS-
000008 REV 00 ICN 01. Denver, Colorado: U.S. Geological Survey. ACC: 
MOL.20011107.0004. 
160355 USGS (U.S. Geological Survey) 2001. Simulation of Net Infiltration for Modern and 
Potential Future Climates. ANL-NBS-HS-000032 REV 00 ICN 02. Denver, 
Colorado: U.S. Geological Survey. ACC: MOL.20011119.0334. 
162955 Wallace, A.; Romney, E.M.; and Cha, J.W. 1980. Depth Distribution of Roots of 
Some Perennial Plants in the Nevada Test Site Area of the Northern Mojave Desert. 
Great Basin Naturalist Memoirs, 4, 201-207. [Provo, Utah]: Brigham Young 
University. TIC: 254271. 
162961 Wirth, S.; Brown, T.; and Beyeler, W. 1999. Native Plant Uptake Model for 
Radioactive Waste Disposal Areas at the Nevada Test Site. SAND98-1789. 
Albuquerque, New Mexico: Sandia National Laboratories. TIC: 254423. 
Software Cited 
152614 Dynamic Graphics. 1998. Software Code: EARTHVISION. 5.1. Silicon Graphics 
Indigo R4000. 10174-5.1-00. 
ANL-NBS-HS-000027 REV 01 71 October 2003 

Analysis of Infiltration Uncertainty U0095 
147277 SNL (Sandia National Laboratories) 2000. Software Code: LHS. V2.50. DEC 
Alpha/Open VMS.AXP V7.2. 10205-2.50-00. 
147608 SNL (Sandia National Laboratories) 2001. Software Code: INFIL. VA_2.a1. DEC 
Alpha, OpenVMS V7.2-1. 10253-A_2.a1-00. 
158223 SNL (Sandia National Laboratories) 2002. Software Code: GSLIB HISTPLT. 
V2.01. 10802-2.01-00. 
164058 SNL (Sandia National Laboratories) 2003. Software Code: ALGEBRACDB. V2.35. 
Compaq ALPHA/OpenVMS 7.3-1. 10985-2.35-00. 
164055 SNL (Sandia National Laboratories) 2003. Software Code: CAMCON_LIB. V2.19. 
Compaq ALPHA/OpenVMS 7.3-1. 10992-2.19-00. 
164056 SNL (Sandia National Laboratories) 2003. Software Code: CAMDAT_LIB. V1.24. 
Compaq ALPHA/OpenVMS 7.3-1. 10991-1.24-00. 
164057 SNL (Sandia National Laboratories) 2003. Software Code: CAMSUPES_ LIB. 
V2.21. Compaq ALPHA/OpenVMS 7.3-1. 10990-2.21-00. 
163676 SNL (Sandia National Laboratories) 2003. Software Code: POSTINFIL. V2.50. 
Compaq ALPHA/OpenVMS 7.3-1. 10983-2.50-00. 
163675 SNL (Sandia National Laboratories) 2003. Software Code: POSTLHS. V4.07. 
Compaq ALPHA/OpenVMS 7.3-1. 10989-4.07-00. 
163674 SNL (Sandia National Laboratories) 2003. Software Code: PREINFIL. V1.20. 
Compaq ALPHA/OpenVMS 7.3-1. 10982-1.20-00. 
163673 SNL (Sandia National Laboratories) 2003. Software Code: PRELHS. V2.02. 
Compaq ALPHA/OpenVMS 7.3-1. 10981-2.02-00. 
139422 USGS (U.S. Geological Survey) 2001. Software Code: INFIL. V2.0. PC. 10307-
2.0-00. 
8.2 CODES, STANDARDS, REGULATIONS, AND PROCEDURES 
156605 10 CFR 63. Energy: Disposal of High-Level Radioactive Wastes in a Geologic 
Repository at Yucca Mountain, Nevada. Readily available. 
AP-2.22Q, Rev. 1, ICN 0. Classification Analyses and Maintenance of Q-List. Washington, 
D.C.: U.S. Department of Energy, Office of Civilian Radioactive Waste Management. ACC: 
DOC.20030807.0002. 
AP-SI.1Q, Rev. 5, ICN 2. Software Management. Washington, D.C.: U.S. Department of 
Energy, Office of Civilian Radioactive Waste Management. ACC: DOC.20030902.0003. 
ANL-NBS-HS-000027 REV 01 72 October 2003 

Analysis of Infiltration Uncertainty U0095 
AP-SI.3Q, Rev. 1, ICN 1. Software Independent Verification and Validation. Washington, 
D.C.: U.S Department of Energy, Office of Civilian Radioactive Waste Management. ACC: 
DOC.200300902.0002. 
AP-SIII.9Q, Rev. 1, ICN 1. Scientific Analyses. Washington, D.C.: U.S. Department of Energy, 
Office of Civilian Radioactive Waste Management. ACC: DOC.20030929.0005. 
8.3 SOURCE DATA, LISTED BY DATA TRACKING NUMBER 
146853 GS000308311221.004. Geospatial Input Data for Infil V2.0 FY99. Submittal date: 
03/01/2000. 
147613 GS000308311221.005. Net Infiltration Modeling Results for 3 Climate Scenarios for 
FY99. Submittal date: 03/01/2000. 
147602 GS000308311221.010. Developed Daily Climate Data from Tule Lake, California 
Used for Infiltration Uncertainty Analysis. Submittal date: 03/07/2000. 
147615 GS000308311221.011. Template Files for Uncertainty Analyses. Submittal date: 
03/13/2000. 
162980 GS000808312242.006. Pulse Flow Meter Data for the Alcove 1 Infiltration 
Experiment from 02/19/99 to 06/20/00. Submittal date: 09/07/2000. 
162979 GS990108312242.006. Pulse Flow Meter Data for the Alcove 1 Infiltration 
Experiment from 03/08/98 to 12/04/98. Submittal date: 01/29/1999. 
164527 MO0307SEPFEPS4.000. LA FEP List. Submittal date: 07/31/2003. 
8.4 OUTPUT DATA, LISTED BY DATA TRACKING NUMBER 
SN0308T0503100.008. Revised Frequency Distributions For Net Infiltrations And Weighting 
Factors Applied To Lower, Mean, And Upper Climates. Submittal date: 08/28/2003. 
SN0309T0503100.009. Updated Input Parameter Distributions Used For Infiltration Uncertainty 
Analysis. Submittal date: 09/15/2003. 
SN0309T0503100.010. Updated Annual Average Net Infiltration Using Five Approximations 
Of The Repository Footprint. Submittal date: 09/15/2003. 
SN0309T0503100.011. Statistical Tests For Normalcy And Conversion Of Daily Precipitation 
Data Into Annual Precipitation Data. Submittal date: 09/15/2003. 
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Analysis of Infiltration Uncertainty U0095 
INTENTIONALLY LEFT BLANK 
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Analysis of Infiltration Uncertainty U0095 
ATTACHMENT I 
LISTING OF SAMPLE INPUT FOR SOFTWARE 
Example input files are included for the following software in order of use in analysis. They 
appear in this attachment in the order below. Table I-1 contains a cross-reference chart 
describing the linkage of input files and output files for these software. 
PRELHS V2.02 (SNL 2003 [163673]) 
LHS V2.50 (SNL 2000 [147277]) 
POSTLHS V4.07 (SNL 2003 [163675]) 
PREINFIL V1.20 (SNL 2003 [163674]) 
INFIL V. A_2.a1 (SNL 2000 [147608]) 
POSTINFIL V2.50 (SNL 2003 [163676]) 
ALGEBRACDB V2.35 (SNL 2003 [164058]) 
GSLIB HISTPLT V2.02 (SNL 2002 [158223]) 
ANL-NSB-HS-000027 REV 01 I-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-1. Parameter Naming Convention Correspondence Between Tables I-2a and I-6 or I-7 
Parameter Name 
I-2a I-6 and I-7 
BRPOROS RKPOR 
BRZDEPTH RDEPTH4 
SOILDEPM SDFACT 
PRECIPM PPTFACT 
POTETMUL ETFACT 
BRPERM IMBFACT 
SOILPERM SKSFACT 
ETCOEFFA BARSOIL1 
ETCOEFFB BARSOIL2 
SUBPARI SUBPARI 
SNOPARI SNOPARI 
NOTE: Parameter names may occur in upper or 
lower case, and are equivalent. 
ANL-NSB-HS-000027 REV 01 I-2 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-2a. Input User Control File for PRELHS software item 
! DESCRIPTION: 
! 
! 
PRELHS Variable Sampling Input File for Glacial Transition Climate 
!========= No Comments Allowed between *ECHO and *ENDECHO ============== 
*ECHOLHS 
TITLE BEGIN LHS, Aug 22, 2003 SAMPLING FOR FOOTPRINT SET WATERSHEDSNOBS 100 
RANDOM SEED 0733050198 
OUTPUT CORR HIST DATA PLOT 
*ENDECHO 
! 
!==== PROPERTIES TO BE RETRIEVED FROM YMP DATABASE, '.SDB' ====
*RETRIEVE 
! 
MATERIALS, FOOTPRNT 
PROPERTIES, BRPOROS, BRZDEPTH, SOILDEPM, PRECIPM, POTETMUL, BRPERM, &
SOILPERM, ETCOEFFA, ETCOEFFB, FLAREA, SUBPAR1, SNOPAR1! 
!======================================================================= 
! 
*END 
NOTE: Statements following ! are comments and not read as input 
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Analysis of Infiltration Uncertainty 
U0095 
Table I-2b. ASCII Datafile Containing Uncertain Parameter Distributions Used to Set Up Input Files for LHS 
PARAMETERS.SDB;7 22-AUG-2003 16:18:24.92 
*HEADERLINES=
1 
*ENTRY=IDMTRL,IDPRAM
ID 2:5 I4 'ID' 
IDMTRL 7:14 A8 'MATERIAL ID' 
IDPRAM 16:23 A8 'PARAMETER ID' 
MEAN 24:35 1PE12.4 'MEAN' 
MEDIAN 36:47 1PE12.4 'MEDIAN' 
LOWRNG 48:59 1PE12.4 'MINIMUM' 
HIRNGE 60:71 1PE12.4 'MAXIMUM' 
VRYFRC 72:83 1PE12.4 'COEFFICIENT OF VARIATION' 
SCALE 84:95 1PE12.4 'PROBABILITY' 
DISTYP 97:108 A12 'DISTRIBUTION' 
UNITS 110:121 A12 'UNITS' 
IDWELL 123:130 A8 'DUMMY WELL ID' 
IDSCAL 123:130 A8 'DUMMY SCALE ID' 
*NMGEOL=PARAMETERS.SDB 
*NSDBVR=
1 
*ENDDSCR 
BRPOROS, BRZDEPTH, SOILDEPM, PRECIPM, POTETMUL, BRPERM,
SOILPERM, ETCOEFFA, ETCOEFFB, FLAREA, SNOPAR1, SUBPAR1ID IDMTRL IDPRAM MEAN MEDIAN LOWRNG HIRNGE VRYFRC SCALE DISTYP UNITS 
1001 FOOTPRNT BRPOROS 9.0000E-03 9.0000E-03 2.0000E-03 2.4000E-02 0.0000E+00 0.0000E+00 NORMAL NONE 
1002 FOOTPRNT BRZDEPTH 1.5000E+00 1.5000E+00 0.0000E+00 3.0000E+00 0.0000E+00 0.0000E+00 NORMAL m 
1003 FOOTPRNT SOILDEPM 1.0000E+00 1.0000E+00 1.0000E-01 1.9000E+00 0.0000E+00 0.0000E+00 NORMAL NONE 
1004 FOOTPRNT PRECIPM 1.0000E+00 1.0000E+00 6.0000E-01 1.4000E+00 0.0000E+00 0.0000E+00 NORMAL NONE 
1005 FOOTPRNT POTETMUL 1.0000E+00 1.0000E+00 6.0000E-01 1.4000E+00 0.0000E+00 0.0000E+00 NORMAL NONE 
1006 FOOTPRNT BRPERM 1.0000E+00 1.0000E+00 1.0000E-01 1.0000E+01 0.0000E+00 0.0000E+00 LOGNORMAL NONE 
1007 FOOTPRNT SOILPERM 1.0000E+00 1.0000E+00 1.0000E-01 1.0000E+01 0.0000E+00 0.0000E+00 LOGNORMAL NONE 
1008 FOOTPRNT ETCOEFFA 1.0000E+01 1.0000E+01 1.0000E-01 1.9900E+01 0.0000E+00 0.0000E+00 NORMAL NONE 
1009 FOOTPRNT ETCOEFFB 1.0400E+00 1.0400E+00 5.4000E-01 1.5400E+00 0.0000E+00 0.0000E+00 NORMAL NONE 
1010 FOOTPRNT FLAREA 2.5000E-01 2.5000E-01 1.0000E-02 4.9000E-01 0.0000E+00 0.0000E+00 NORMAL NONE 
1011 FOOTPRNT SNOPAR1 1.7800E+00 1.7800E+00 7.8000E-01 2.7800E+00 0.0000E+00 0.0000E+00 UNIFORM NONE 
1012 FOOTPRNT SUBPAR1 1.0000E-01 1.0000E-01 0.0000E+00 2.0000E-01 0.0000E+00 0.0000E+00 UNIFORM NONE 
NOTE: 
See Table I-1 for parameter naming convention correspondence to Table I-6 or I-7. 
The negative sign was assigned to ETCOEFFA in the code INFIL 
ANL-NSB-HS-000027 REV 01 I-
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October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-3. Input file for LHS that is automatically produced by PRELHS software item. 
NOBS 100 
RANDOM SEED 0733050198 
NORMAL FOOTPRNT BRPOROS 
2.00000E-03 2.40000E-02 
NORMAL FOOTPRNT BRZDEPTH 
0.00000E+00 3.00000E+00 
NORMAL FOOTPRNT SOILDEPM 
1.00000E-01 1.90000E+00 
NORMAL FOOTPRNT PRECIPM 
6.00000E-01 1.40000E+00 
NORMAL FOOTPRNT POTETMUL 
6.00000E-01 1.40000E+00 
LOGNORMAL FOOTPRNT BRPERM 
1.00000E-01 1.00000E+01 
LOGNORMAL FOOTPRNT SOILPERM 
1.00000E-01 1.00000E+01 
NORMAL FOOTPRNT ETCOEFFA 
1.00000E-01 1.99000E+01 
NORMAL FOOTPRNT ETCOEFFB 
5.40000E-01 1.54000E+00 
NORMAL FOOTPRNT FLAREA 
1.00000E-02 4.90000E-01 
UNIFORM FOOTPRNT SUBPAR1 
0.00000E+00 2.00000E-01 
UNIFORM FOOTPRNT SNOPAR1 
7.80000E-01 2.78000E+00 
OUTPUT CORR HIST DATA PLOT 
NOTES: See Attachment II for output from LHS. 
Parameter names may occur in upper or lower case, and are equivalent. 
ETCOEFFA is listed as a positive value, and the sign is changed. 
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Analysis of Infiltration Uncertainty U0095 
Table I-4. Sample Input User Control File for POSTLHS Software item which Post-processes the LHS 
Output 
!======================================================================= 
! TITLE: POSTLHS input file == POSTLHS.INP! ANALYST: R. McCurley--08/22/2003 SNL/GRAM 505-998-0045!======================================================================= 
! 
! 
! 
DESCRIPTION: YMP INFIL FOOTPRINT WATERSHEDS ANALYSIS, GlacialTransition 
! 
!======================================================================= 
*ATTRIBUTE_STORE 
MATERIALS = FOOTPRNT , &
! ATTRIBUTE_NAMES = 
PROPERTY_NAMES = BRPOROS, BRZDEPTH, SOILDEPM, PRECIPM, POTETMUL, BRPERM, &
SOILPERM, ETCOEFFA, ETCOEFFB, FLAREA, SUBPAR1, SNOPAR1! 
!======================================================================= 
*END 
NOTE: Documented directory location, name, and date of file. Internal comments may not reflect correct 
information regarding this. 
Statements following ! are comments and not read as input 
ANL-NSB-HS-000027 REV 01 I-6 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-5. Sample Input User Control File for PREINFIL Software item 
PREINFIL user input file!Analyst--Ron McCurley GRAM! Date Aug 22, 2003!Begin input*FILES 
NAMES: MAIN=INFILMN_US1_R###.OUT, ECHO=INFILECHO_R###.OUT, &
SUMMARY=INFILSM_US1_R###.OUT 
*REPLACE 
REGION: FOOTPRNT 
PROPERTIES: PPTFACT=PRECIPM,ETFACT=POTETMUL,RDEPTH3=BRZDEPTH, &
SKSFACT=SOILPERM, FLAREA=SAME, &
SDFACT=SOILDEPM, RKPOR=BRPOROS, IMBFACT=BRPERM, BARSOIL1=ETCOEFFA, &
BARSOIL2=ETCOEFFB, SNOPAR1=SAME, SUBPAR1=SAME
*END 
NOTE: Statements following ! are comments and not read as input 
ANL-NSB-HS-000027 REV 01 I-7 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-6. Template Input User Control File for INFIL Version A_2a.1 Input to PREINFIL 
Source DTN: GS000308311221.011 [147615] 
1 0.00000001 IROUT(1 = coupled, 0 = uncoupled, -1 = flow routing off, -2 = infil off), IFRTOL2 2 1.78 ISNOW, ISNWMOD, SNOPAR1 
3 0.1 0.3 ISUBLIM, SUBPAR1, SUBPAR2
0 1. IPPTTEST (1 for testing), PPTTEST = constant
0 .0 IETTEST (1 for testing), ETTEST = constant
30.0 CELSIZE (node spacing (meters): using for flow volume calculations)
544721.0 4072203.0 xcfs,ycfs: coords for discharge cell1950 1 1996 
366 1 5 yr1 = start year, dnn1 = start day, yr2 = end year, dn2 = end day1 1 1 1 multipliers ( pptfact, etfact, imbfact, sksfact)
1.0 0 0.4 SDFACT (soil depth multiplier), IVEGC (set to 1 for map data), FVEGC (use if IVEGC = 0)
1.0 0.8 0.8 0.2 ROOTF1,ROOTF2,ROOTF3,ROOTF4
1.0 1.0 0.5 0.1 MAXWGT1, MAXWGT2, MAXWGT3, MAXWGT4
0.3 2.0 3.0 2.0 RDEPTH1,RDEPTH2,RDEPTH3,RDEPTH4,RDEPTHF
0.02 1.0 .25 RKPOR, RKMMFACT, FLAREA1 1 0 INFMOD, ETMOD, RUNMOD
-10.0 1.04 BARSOIL1, BARSOIL2: bare soil et parameters3 17.3 
11.74 IAIRTEMP = 1 for new air temp model, ATEMP1 = avg. air temp, ATEMP2 = air temp seasonaldeviation 
2 HSTEP: time step for PET model (hours)
5 181 3 PPTYUC (=5 diminished elev. correlation, =2 for 4JA , =1 for simple elevation transfer), AAPREPX, IPPTDATTulelake.inp input file name: daily precip
0 1 0.5 1 1 dpthflag, irtz, delvwcf, moistcr, fracmod
0 1.75 IVWCFLG, vwcfact 
us1.w20 input file name: map parameters (*.inp)-1us1-gm1.2a1 dayall: average daily mass balance terms1 1 ndaymap, imap70 1995 
us1-gm1.2a2us1-gm1.2a3 output file name: daily mass balanceus1-gm1.2a4 output file name: total daily fluxes1 1 dbgflag, dbgflag2us1-gm1.2a5 output file name: annual mass balance terms 
0 IDEBUG: debugging option parameterus1-gm1.2a6 new debug fileus1-gm1 map output: annual totals or mult-year averages--------------- Parameters for dynamic root-zone function --------------------------------------
depthm 
rtza rtzb rtzc rtzd bsoil delvwc 
1 0.5 15 3 3 2 0.30 0.50 
2 1.5 15 4 2 2 0.20 0.50 
ANL-NSB-HS-000027 REV 01 I-8 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-6. Template Input User Control File for INFIL Version A_2a.1 Input to PREINFIL (Continued) 
3 4.5 10 1.5 1 2 0.10 0.50 
4 6.0 10 1.5 1 2 0.05 0.25 
--------------- Soil Properties (Brooks & Corey/van Genuchten combined) -------------------------------------------
--fdcp etresidpor beta alpah ksat PE B n vg-alpha sorp SOILP potis--Kg s /m^3J/Kg 1/(J/Kg) ??? J/Kg
10 
0.242 0.054 0.366 -3.5 1.26 5.6E-04 -1.19E+00 4.72 1.24 5.2E-01 0.390 0.05 -1.0E+02 
0.173 0.023 0.315 -3.5 1.26 1.2E-03 -9.41E-01 3.70 1.31 6.2E-01 0.500 0.05 -1.0E+02 
0.163 0.017 0.325 -3.5 1.26 1.3E-03 -8.60E-01 3.36 1.36 6.6E-01 0.510 0.05 -1.0E+02 
0.073 0.002 0.281 -3.5 1.26 3.8E-03 -6.22E-01 2.18 1.62 8.7E-01 0.700 0.05 -1.0E+02 
0.200 0.035 0.330 -3.5 1.26 6.7E-04 -1.07E+00 4.14 1.78 5.6E-01 0.400 0.05 -1.0E+02 
0.150 0.011 0.339 -3.5 1.26 2.7E-03 -7.55E-01 3.06 1.40 7.4E-01 0.700 0.05 -1.0E+02 
0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
0.189 0.028 0.322 -3.5 1.26 5.7E-04 -1.08E+00 3.88 1.30 5.5E-01 0.370 0.05 -1.0E+02 
0.189 0.028 0.322 -3.5 1.26 5.7E-05 -1.08E+00 3.88 1.00 5.5E-01 0.037 0.05 -1.0E+02 
---------------Rockl Properties (Brooks & Corey/van Genuchten combined)--------------------------------------------
rkcp 
129 
etresidpor beta alpha ksat PE 
Kg s /m^3J/Kg 
B n vg-alpha fracks imbibe 
1/(J/Kg) Kg s /m^3mm/dy 
potirJ/Kg 
0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 0.52 0.00056 500 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.06 -100 
0.388 0.039 0.393 -1.5 1.26 0.000053 -242 4.57 1.38 2400 0.000053 2.74 -100 
0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
0.248 0.01 0.253 -1.5 1.26 3.8E-06 -82.3 2.71 1.84 830 3.9E-06 3.34 -100 
0.159 0.01 0.164 -1.5 1.26 1.2E-06 -140 3.61 1.53 1400 1.3E-06 1.13 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
ANL-NSB-HS-000027 REV 01 I-9 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-6. Template Input User Control File for INFIL Version A_2a.1 Input to PREINFIL (Continued) 
25 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
26 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
27 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
28 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
29 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
30 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
31 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
32 0.43 0.044 0.435 -1.5 1.26 0.0004 
33 0.43 0.044 0.435 -1.5 1.26 0.0004 
34 0.43 0.044 0.435 -1.5 1.26 0.0004 
35 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
36 0.401 0.07 0.406 -1.5 1.26 0.000052 
37 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
38 0.401 0.07 0.406 -1.5 1.26 0.000052 
39 0.494 0.05 0.499 -1.5 1.26 0.000088 
40 0.494 0.05 0.499 -1.5 1.26 0.000088 
41 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
42 0.485 0.05 0.49 -1.5 1.26 0.00042 
43 0.485 0.05 0.49 -1.5 1.26 0.00042 
44 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
45 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
99 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
46 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
47 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
48 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
49 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
50 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
51 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
52 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
53 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
54 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
55 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
56 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
57 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
58 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
59 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
60 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
61 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
62 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
63 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
64 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
65 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
66 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
67 0.031 0.018 0.036 -1.5 1.26 5.0E-09 
68 0.168 0.021 0.173 -1.5 1.26 7.3E-08 
69 0.327 0.066 0.332 -1.5 1.26 4.5E-09 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4000 3.78 1.49 40000 0.000088 75.62 -100 
-341 4.19 1.43 3400 0.000088 75.62 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-26.9 5.6 1.29 270 2.1E-07 0.09 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-88.1 6.43 1.25 890 3.7E-07 0.25 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-0.6 3.39 1.58 10 2.4E-07 0.17 -100 
-125 5.36 1.31 1300 1.3E-07 0.07 -100 
-39 5.66 1.29 390 6.6E-08 0.02 -100 
ANL-NSB-HS-000027 REV 01 I-10 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-6. Template Input User Control File for INFIL Version A_2a.1 Input to PREINFIL (Continued) 
70 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
71 0.327 0.066 0.332 -1.5 1.26 4.5E-09 
72 0.317 0.023 0.322 -1.5 1.26 3.8E-08 
73 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
74 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
75 0.281 0.051 0.286 -1.5 1.26 1.7E-08 
76 0.112 0.011 0.117 -1.5 1.26 4.1E-08 
77 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
201 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
202 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
203 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
204 0.35 0.065 0.366 -1.5 1.26 0.0011 
205 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
206 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
207 0.401 0.07 0.406 -1.5 1.26 0.000052 
208 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
209 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
210 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
211 0.112 0.011 0.117 -1.5 1.26 4.1E-08 
212 0 0.01 0.13 -1.5 1.26 2.3E-08 
213 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
214 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
301 0.35 0.065 0.366 -1.5 1.26 0.0011 
302 0.35 0.065 0.366 -1.5 1.26 0.0011 
303 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
304 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
305 0.388 0.039 0.393 -1.5 1.26 0.000053 
306 0.401 0.07 0.406 -1.5 1.26 0.000052 
307 0.401 0.07 0.406 -1.5 1.26 0.000052 
308 0.401 0.07 0.406 -1.5 1.26 0.000052 
309 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
310 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
311 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
312 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
313 0.248 0.01 0.253 -1.5 1.26 3.8E-06 
314 0.248 0.01 0.253 -1.5 1.26 3.8E-06 
315 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
316 0.159 0.01 0.164 -1.5 1.26 1.2E-06 
317 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
318 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
319 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
320 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
321 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
322 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
323 0.388 0.039 0.393 -1.5 1.26 0.000053 
324 0.43 0.044 0.435 -1.5 1.26 0.0004 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-39 5.66 1.29 390 6.6E-08 0.01 -100 
-181 4.01 1.46 1800 9.9E-08 1.65 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-17.5 4.01 1.45 180 7.8E-08 0.02 -100 
-3.2 3.07 1.68 36 1.0E-07 0.09 -100 
-88.1 6.43 1.25 890 3.7E-07 0.25 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-0.93 3.6 1.25 120 1.4E-07 500 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-3.2 3.07 1.68 36 1.0E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-0.93 3.6 1.25 0.52 0.00056 500 -100 
-0.93 3.6 1.25 0.52 0.00056 500 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-242 4.57 1.38 2400 0.000053 2.74 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-82.3 2.71 1.84 830 3.9E-06 3.34 -100 
-82.3 2.71 1.84 830 3.9E-06 3.34 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-140 3.61 1.53 1400 1.3E-06 1.13 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-242 4.57 1.38 2400 0.000053 2.74 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
ANL-NSB-HS-000027 REV 01 I-11 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-6. Template Input User Control File for INFIL Version A_2a.1 Input to PREINFIL (Continued) 
325 0.494 0.05 0.499 -1.5 1.26 0.000088 
326 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
327 0.485 0.05 0.49 -1.5 1.26 0.00042 
328 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
329 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
330 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
331 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
332 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
333 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
334 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
335 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
336 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
345 0.097 0.01 0.102 -1.5 1.26 1.3E-07 
-4000 3.78 1.49 40000 0.000088 75.62 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-154.6 5.02 1.56 1560 2.9E-07 0.24 -100 
NOTES: Line 9 data on simulation time in years is shadowed because even though Tule Lake data is provided beginning in 1931, the code is only using the data 
from 1950 onward through 1996 
Line 14 comment on right side should not include RDEPTH3 (no such data item is read by INFIL V A_2.a1). Thus, RDEPTH4 is 3rd (not 4th) actual entry 
on this line. 
Line 19 data on air temperature is shadowed because the code is reading air temperature data directly from a file; it does not use the value of 17.3. 
ANL-NSB-HS-000027 REV 01 I-12 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-7. Sample Input User Control File for INFIL Version A_2a.1 Produced by PREINFIL 
INFIL_US1_R001.INP;4 
22-AUG-2003 16:52:14.26 
INFIL2a1.ctl: T1 test Wash, Tule Lake, us1-2a1-gm1-k2-w20 (11/18/1999)
1 0.00000001 
IFRTOL 
IROUT(1 = coupled, 0 = uncoupled, -1 = flow routing off, -2 = infil off), 
2 2 2.16E+00 ISNOW ISNWMOD SNOPAR1 
3 1.57E-01 3.00E-01 ISUBLIM SUBPAR1 SUBPAR2 
0 1. 
0 .0 
30.0 
544721.0 4072203.0 
1950 1 1996 366 1 5 
1.12E+00 9.01E-01 3.70E+00 1.85E+00 
1.23E+00 0 4.00E-01 
1.0 0.8 0.8 0.2 
1.0 1.0 0.5 0.1 
0.30 2.00 2.06 2.00 
IPPTTEST (1 for testing), PPTTEST = constantIETTEST (1 for testing), ETTEST = constantCELSIZE (node spacing (meters): using for flow volume calculations)
xcfs,ycfs: coords for discharge cellyr1 = start year, dnn1 = start day, yr2 = end year, dn2 = end dayMULTIPLI( PPTFACT ETFACT IMBFACT SKSFACT)
SDFACT (SOIL DEPTH 
ROOTF1,ROOTF2,ROOTF3,ROOTF4MAXWGT1, MAXWGT2, MAXWGT3, MAXWGT4RDEPTH1 RDEPTH2 RDEPTH3 RDEPTH4 
1.82E-02 1.00E+00 3.04E-01 RKPOR RKMMFACT FLAREA 
1 1 
-11.210 
0 
1.102 
INFMOD, ETMOD, RUNMODBARSOIL1 BARSOIL2 
3 17.3 
seaso 
11.74 IAIRTEMP = 1 for new air temp model, ATEMP1 = avg. air temp, ATEMP2 = air temp 
2 
5 181 
transf 
3 
HSTEP: time step for PET model (hours)
PPTYUC (=5 diminished elev. correlation, =2 for 4JA , =1 for simple elevation 
Tulelake.inp0 1 
0 1.75 
us1.w20 
-1 
0.5 1 1 
input file name: daily precipdpthflag, irtz, delvwcf, moistcr, fracmodIVWCFLG, vwcfact 
input file name: map parameters (*.inp) 
us1-gm1.2a11 1 
70 1995 
dayall: average daily mass balance termsndaymap, imap 
us1-gm1.2a2INFILSM_US1_R001.OUT 
INFILMN_US1_R001.OUT 
1 1 
us1-gm1.2a50 
INFILECHO_R001.OUT 
dbgflag, dbgflag2output file name: annual mass balance terms 
IDEBUG: debugging option parameter 
us1-gm1 map output: annual totals or mult-year averages 
--------------- Parameters for dynamic root-zone function --------------------------------------
ANL-NSB-HS-000027 REV 01 I-13 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-7. Sample Input User Control File for INFIL Version A_2a.1 Produced by PREINFIL (Continued) 
depthm 
rtza rtzb rtzc rtzd bsoil delvwc 
4 
1 0.5 15 3 3 2 0.30 0.50 
2 1.5 15 4 2 2 0.20 0.50 
3 4.5 10 1.5 1 2 0.10 0.50 
4 6.0 10 1.5 1 2 0.05 0.25 
--------------- Soil Properties (Brooks & Corey/van Genuchten combined) -------------------------------------------
fdcp etresidpor beta alpah ksat PE B n vg-alpha sorp SOILP potisKg s /m^3J/Kg 1/(J/Kg) ??? J/Kg10 
1 0.242 0.054 0.366 -3.5 1.26 5.6E-04 -1.19E+00 4.72 1.24 5.2E-01 0.390 0.05 -1.0E+02 
2 0.173 0.023 0.315 -3.5 1.26 1.2E-03 -9.41E-01 3.70 1.31 6.2E-01 0.500 0.05 -1.0E+02 
3 0.163 0.017 0.325 -3.5 1.26 1.3E-03 -8.60E-01 3.36 1.36 6.6E-01 0.510 0.05 -1.0E+02 
4 0.073 0.002 0.281 -3.5 1.26 3.8E-03 -6.22E-01 2.18 1.62 8.7E-01 0.700 0.05 -1.0E+02 
5 0.200 0.035 0.330 -3.5 1.26 6.7E-04 -1.07E+00 4.14 1.78 5.6E-01 0.400 0.05 -1.0E+02 
6 0.150 0.011 0.339 -3.5 1.26 2.7E-03 -7.55E-01 3.06 1.40 7.4E-01 0.700 0.05 -1.0E+02 
7 0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
8 0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
9 0.189 0.028 0.322 -3.5 1.26 5.7E-04 -1.08E+00 3.88 1.30 5.5E-01 0.370 0.05 -1.0E+02 
10 0.189 0.028 0.322 -3.5 1.26 5.7E-05 -1.08E+00 3.88 1.00 5.5E-01 0.037 0.05 -1.0E+02 
---------------Rockl Properties (Brooks & Corey/van Genuchten combined)--------------------------------------------
rkcp etresidpor beta alpha ksat PE B n vg-alpha fracks imbibe potirKg s /m^3J/Kg 1/(J/Kg) Kg s /m^3mm/dy J/Kg129 
1 0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 0.52 0.00056 500 -100 
2 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
3 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
4 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
5 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
6 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
7 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
8 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
9 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
10 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
11 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.06 -100 
12 0.388 0.039 0.393 -1.5 1.26 0.000053 -242 4.57 1.38 2400 0.000053 2.74 -100 
13 0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
14 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
15 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
16 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
17 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
18 0.248 0.01 0.253 -1.5 1.26 3.8E-06 -82.3 2.71 1.84 830 3.9E-06 3.34 -100 
19 0.159 0.01 0.164 -1.5 1.26 1.2E-06 -140 3.61 1.53 1400 1.3E-06 1.13 -100 
ANL-NSB-HS-000027 REV 01 I-14 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-7. Sample Input User Control File for INFIL Version A_2a.1 Produced by PREINFIL (Continued) 
20 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
21 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
22 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
23 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
24 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
25 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
26 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
27 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
28 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
29 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
30 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
31 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
32 0.43 0.044 0.435 -1.5 1.26 0.0004 
33 0.43 0.044 0.435 -1.5 1.26 0.0004 
34 0.43 0.044 0.435 -1.5 1.26 0.0004 
35 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
36 0.401 0.07 0.406 -1.5 1.26 0.000052 
37 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
38 0.401 0.07 0.406 -1.5 1.26 0.000052 
39 0.494 0.05 0.499 -1.5 1.26 0.000088 
40 0.494 0.05 0.499 -1.5 1.26 0.000088 
41 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
42 0.485 0.05 0.49 -1.5 1.26 0.00042 
43 0.485 0.05 0.49 -1.5 1.26 0.00042 
44 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
45 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
99 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
46 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
47 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
48 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
49 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
50 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
51 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
52 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
53 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
54 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
55 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
56 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
57 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
58 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
59 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
60 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
61 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
62 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
63 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
64 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4000 3.78 1.49 40000 0.000088 75.62 -100 
-341 4.19 1.43 3400 0.000088 75.62 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-26.9 5.6 1.29 270 2.1E-07 0.09 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-88.1 6.43 1.25 890 3.7E-07 0.25 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
ANL-NSB-HS-000027 REV 01 I-15 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-7. Sample Input User Control File for INFIL Version A_2a.1 Produced by PREINFIL (Continued) 
65 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
66 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
67 0.031 0.018 0.036 -1.5 1.26 5.0E-09 
68 0.168 0.021 0.173 -1.5 1.26 7.3E-08 
69 0.327 0.066 0.332 -1.5 1.26 4.5E-09 
70 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
71 0.327 0.066 0.332 -1.5 1.26 4.5E-09 
72 0.317 0.023 0.322 -1.5 1.26 3.8E-08 
73 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
74 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
75 0.281 0.051 0.286 -1.5 1.26 1.7E-08 
76 0.112 0.011 0.117 -1.5 1.26 4.1E-08 
77 0.043 0.002 0.048 -1.5 1.26 1.6E-07 
201 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
202 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
203 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
204 0.35 0.065 0.366 -1.5 1.26 0.0011 
205 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
206 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
207 0.401 0.07 0.406 -1.5 1.26 0.000052 
208 0.089 0.03 0.094 -1.5 1.26 7.5E-09 
209 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
210 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
211 0.112 0.011 0.117 -1.5 1.26 4.1E-08 
212 0 0.01 0.13 -1.5 1.26 2.3E-08 
213 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
214 0.232 0.024 0.237 -1.5 1.26 3.8E-07 
301 0.35 0.065 0.366 -1.5 1.26 0.0011 
302 0.35 0.065 0.366 -1.5 1.26 0.0011 
303 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
304 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
305 0.388 0.039 0.393 -1.5 1.26 0.000053 
306 0.401 0.07 0.406 -1.5 1.26 0.000052 
307 0.401 0.07 0.406 -1.5 1.26 0.000052 
308 0.401 0.07 0.406 -1.5 1.26 0.000052 
309 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
310 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
311 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
312 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
313 0.248 0.01 0.253 -1.5 1.26 3.8E-06 
314 0.248 0.01 0.253 -1.5 1.26 3.8E-06 
315 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
316 0.159 0.01 0.164 -1.5 1.26 1.2E-06 
317 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
318 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
319 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
-26.9 5.6 1.29 270 2.2E-07 0.07 -100 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-0.6 3.39 1.58 10 2.4E-07 0.17 -100 
-125 5.36 1.31 1300 1.3E-07 0.07 -100 
-39 5.66 1.29 390 6.6E-08 0.02 -100 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-39 5.66 1.29 390 6.6E-08 0.01 -100 
-181 4.01 1.46 1800 9.9E-08 1.65 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-17.5 4.01 1.45 180 7.8E-08 0.02 -100 
-3.2 3.07 1.68 36 1.0E-07 0.09 -100 
-88.1 6.43 1.25 890 3.7E-07 0.25 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-0.93 3.6 1.25 120 1.4E-07 500 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-88.1 6.43 1.25 890 3.7E-07 0.41 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-1.8 2.31 2.14 22 2.5E-07 0.14 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.09 -100 
-3.2 3.07 1.68 36 1.0E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6.8 3.31 1.6 72 4.4E-07 0.05 -100 
-0.93 3.6 1.25 0.52 0.00056 500 -100 
-0.93 3.6 1.25 0.52 0.00056 500 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-242 4.57 1.38 2400 0.000053 2.74 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-4150 6.78 1.23 42000 0.000052 46.66 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-82.3 2.71 1.84 830 3.9E-06 3.34 -100 
-82.3 2.71 1.84 830 3.9E-06 3.34 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-140 3.61 1.53 1400 1.3E-06 1.13 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
ANL-NSB-HS-000027 REV 01 I-16 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table I-7. Sample Input User Control File for INFIL Version A_2a.1 Produced by PREINFIL (Continued) 
320 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
321 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
322 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
323 0.388 0.039 0.393 -1.5 1.26 0.000053 
324 0.43 0.044 0.435 -1.5 1.26 0.0004 
325 0.494 0.05 0.499 -1.5 1.26 0.000088 
326 0.077 0.011 0.082 -1.5 1.26 5.4E-09 
327 0.485 0.05 0.49 -1.5 1.26 0.00042 
328 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
329 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
330 0.043 0.005 0.048 -1.5 1.26 1.6E-07 
331 0.151 0.007 0.156 -1.5 1.26 1.7E-07 
332 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
333 0.149 0.01 0.154 -1.5 1.26 2.0E-08 
334 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
335 0.105 0.02 0.11 -1.5 1.26 4.0E-09 
336 0.125 0.01 0.13 -1.5 1.26 2.3E-08 
345 0.097 0.01 0.102 -1.5 1.26 1.3E-07 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-242 4.57 1.38 2400 0.000053 2.74 -100 
-1790 6.81 1.23 18000 0.0004 13.83 -100 
-4000 3.78 1.49 40000 0.000088 75.62 -100 
-12 3.04 1.69 120 1.4E-07 0.06 -100 
-5260 5.86 1.28 53000 0.00042 276.49 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-88.1 6.43 1.25 890 3.7E-07 0.35 -100 
-377 2.11 2.4 3800 2.8E-07 0.20 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-65.3 5.09 1.33 660 1.2E-07 0.05 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-6 3.92 1.47 64 2.4E-07 0.09 -100 
-26.9 5.6 1.29 270 2.2E-07 0.09 -100 
-154.6 5.02 1.56 1560 2.9E-07 0.24 -100 
NOTES: Line 9 data on simulation time in years is shadowed because even though Tule Lake data is provided beginning in 1931, the code is only using the data 
from 1950 onward through 1996 
Line 14 comment on right side should not include RDEPTH3 (no such data item is read by INFIL V A_2.a1). Thus, RDEPTH4 is 3rd (not 4th) actual entry 
on this line. 
Line 19 data on air temperature is shadowed because the code is reading air temperature data directly from a file; it does not use the value of 17.3. 
ANL-NSB-HS-000027 REV 01 I-17 October 2003 

Analysis of Infiltration Uncertainty 
Table I-8. Sample Input User Control File for POSTINFIL Software item 
POSTINF_US1.INP;7 26-AUG-2003 09:35:10.46 
!POSTINFIL input control file for watershed US1
!Store mean infiltration and no. of active cells for watershed US1 
*STORE, &
ARRAY=GLOBAL, STEP=1, COPY=0, &
NAMES: MEAN_INFIL=INF_US1,NUMBER_CELLS=NCELLUS1,MEAN_RUNOFF=RUN_US1
*coord, &
number=5, &
number=4, &
rect: x1=547750., x2=548550., y1=4077000., y2=4078400., &
rect: x1=547350., x2=548550., y1=4078400., y2=4079490., &
rect: x1=547350., x2=549200., y1=4079490., y2=4080228., &
rect: x1=547350., x2=548900., y1=4080228., y2=4081200.
*END 
NOTE: Statements following ! are comments and not read as input 
ANL-NSB-HS-000027 REV 01 I-18 October 2003 

Analysis of Infiltration Uncertainty 
Table I-9. Input File for ALGEBRACDB for Obtaining Weighted Average over 
Repository Footprint, Glacial Transition Climate 
ALG_MEAN.INP;16 18-FEB-2003 13:22:58.40 
!======================================================================= 
!$ compute the weighted mean infiltration rate
!$ sum over cells from all watersheds in repository footprint
TEMPSUM1 = NCELLSE7+NCELLSE8+NCELLSE9+NCELSE10 
TEMPSUM2 = NCELLWT2+NCELLDH4+NCELLDH3+NCELLCW1+NCELLSW1 
SUMCELLS= MAKEGLOB(TEMPSUM1+TEMPSUM2+NCELLWW1+NCELLUS1)
!$ 
TMPMEAN1 = NCELLWT2*INF_WT2 + NCELLDH4*INF_DH4 + NCELLDH3*INF_DH3 
TMPMEAN2 = NCELLCW1*INF_CW1 + NCELLSW1*INF_SW1 + NCELLWW1*INF_WW1 
TMPMEAN3 = NCELLSE7*INF_SE7 + NCELLSE8*INF_SE8 + NCELLSE9*INF_SE9 
TMPMEAN4 = NCELSE10*INF_SE10 + NCELLUS1*INF_US1 
INFMEAN = MAKEGLOB(TMPMEAN1 + TMPMEAN2 + TMPMEAN3 + TMPMEAN4)/SUMCELLSEXIT 
NOTES: This input file did not change for the new distribution set 
Statements following ! are comments and not read as input 
ANL-NSB-HS-000027 REV 01 I-19 October 2003 

Analysis of Infiltration Uncertainty 
Table I-10. Input MEAN_NOCONT.PAR File for HISTPLT Contains User Control Input 
START OF PARAMETERS: 
MEAN_nocont.DAT -file with data 
2 0 -columns for variable and weight
0.0 100.00 -trimming limitsMEAN_nocont.ps -file for PostScript output
0.00 100.00 -attribute minimum and maximum 
-1.0 -frequency maximum (<0 for automatic)
20 -number of classes 
0 -0=arithmetic, 1=log scaling0 -0=frequency, 1=cumulative histogram-1 -number of cum. quantiles (<0 for all)
4 -number of decimal places (<0 for auto.)
Net Infiltration -title 
1.5 -positioning of stats (L to R: -1 to 1)
-1.1e21 -reference value for box plot 
NOTE: Output variable. 
Statements following ! are comments and not read as input 
ANL-NSB-HS-000027 REV 01 I-20 October 2003 

Analysis of Infiltration Uncertainty 
Table I-11. Input MEAN_NOCONT.DAT File for HISTPLT Contains Spatially Averaged Net Infiltration 
Rates for 100 Realizations 
Net Infiltration 5.200000E+01 3.584125E+00 
5.300000E+01 1.508128E+01 
Net Infiltration 5.400000E+01 1.097829E+01 
1.000000E+00 3.079317E+01 5.500000E+01 1.179343E+01 
2.000000E+00 1.928659E+01 5.600000E+01 4.752187E+01 
3.000000E+00 1.267163E+01 5.700000E+01 1.247029E+01 
4.000000E+00 2.425489E+01 5.800000E+01 4.880799E+01 
5.000000E+00 2.211648E+01 5.900000E+01 6.457878E+00 
6.000000E+00 1.429575E+00 6.000000E+01 2.261053E+01 
7.000000E+00 1.039542E+01 6.100000E+01 6.475675E+00 
8.000000E+00 3.829909E+01 6.200000E+01 2.123507E+00 
9.000000E+00 5.330711E+01 6.300000E+01 1.071773E+01 
1.000000E+01 2.964881E+01 6.400000E+01 1.877090E+00 
1.100000E+01 7.136793E+01 6.500000E+01 2.715320E+01 
1.200000E+01 1.548387E+01 6.600000E+01 1.460489E+01 
1.300000E+01 1.499520E+01 6.700000E+01 1.908889E+01 
1.400000E+01 1.822721E+01 6.800000E+01 1.010454E+01 
1.500000E+01 1.821940E+01 6.900000E+01 6.796621E+00 
1.600000E+01 4.047265E+01 7.000000E+01 3.600076E+01 
1.700000E+01 3.112090E+01 7.100000E+01 9.594579E+00 
1.800000E+01 8.348252E+00 7.200000E+01 9.303779E+00 
1.900000E+01 5.027693E+01 7.300000E+01 2.044018E+01 
2.000000E+01 2.109658E+01 7.400000E+01 2.377228E+01 
2.100000E+01 9.674167E+00 7.500000E+01 4.456317E+01 
2.200000E+01 6.829691E+01 7.600000E+01 1.247509E+00 
2.300000E+01 8.645650E+00 7.700000E+01 2.903187E+01 
2.400000E+01 1.150310E+01 7.800000E+01 1.724594E+01 
2.500000E+01 9.168285E+01 7.900000E+01 5.792326E+01 
2.600000E+01 8.281649E+00 8.000000E+01 5.413282E+01 
2.700000E+01 4.760906E+01 8.100000E+01 7.941258E+00 
2.800000E+01 4.033131E+01 8.200000E+01 7.742651E+00 
2.900000E+01 5.777871E+01 8.300000E+01 3.569651E+01 
3.000000E+01 2.425288E+01 8.400000E+01 2.294829E+01 
3.100000E+01 2.078906E+01 8.500000E+01 2.693925E+01 
3.200000E+01 4.733222E+01 8.600000E+01 1.551060E+01 
3.300000E+01 3.582712E+01 8.700000E+01 2.706384E+00 
3.400000E+01 4.367863E+01 8.800000E+01 1.295347E+01 
3.500000E+01 2.121077E+01 8.900000E+01 5.440431E+00 
3.600000E+01 3.859789E+01 9.000000E+01 1.187560E+01 
3.700000E+01 5.417884E+00 9.100000E+01 4.610298E+01 
3.800000E+01 2.984533E+01 9.200000E+01 1.826513E+01 
3.900000E+01 3.400833E+01 9.300000E+01 2.942361E+01 
4.000000E+01 2.224382E+01 9.400000E+01 1.406856E+01 
4.100000E+01 6.601534E+00 9.500000E+01 2.413916E+01 
4.200000E+01 1.408699E+01 9.600000E+01 1.721134E+01 
4.300000E+01 3.758164E+01 9.700000E+01 1.021559E+01 
4.400000E+01 2.515456E+01 9.800000E+01 1.702860E+01 
4.500000E+01 6.553335E+00 9.900000E+01 5.404278E+01 
4.600000E+01 4.988036E+01 1.000000E+02 2.515358E+01 
4.700000E+01 2.926154E+01 
4.800000E+01 7.720592E+00 
4.900000E+01 2.903201E+01 
5.000000E+01 8.698252E+00 
5.100000E+01 4.361856E+01 
ANL-NSB-HS-000027 REV 01 I-21 October 2003 

Analysis of Infiltration Uncertainty 
INTETIONALLY LEFT BLANK 
ANL-NSB-HS-000027 REV 01 I-22 October 2003 

Analysis of Infiltration Uncertainty U0095 
ATTACHMENT II 
FLOW DIAGRAM OF UNCERTAINTY ANALYSIS FOR ONE REALIZATION 
This attachment contains a diagram showing the flow of information as the uncertainty analysis 
proceeds towards the final product of each realization. The whole process is repeated 100 times, 
resulting in an uncertainty distribution for the infiltration-rate maps as spatially averaged over 
the modeled rectangular region. 
ANL-NBS-HS-000027 REV 01 Attachment II-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
Generate LHS 
Table I-2a 
Table I-2B Table I-3 
Sampled
Uncertain 
PRELHS LHS Parameter Set
Parameter 
100 realizations 
Table I-4 
X 100 realizations 
POSTLHS Computational Database 
Accumulates sampled k input parameters from LHS
Transfers n (n=100) 
sets of k parameters e.g. (k=12 for the glacial transition) 
Note: Tables are in Attachment 
Input data 
Input control 
ANL-NBS-HS-000027 REV 01 Attachment II-2 October 2003 

Analysis of Infiltration Uncertainty U0095 
Computer Net Infiltration Map and Average Net Infiltration for 
PREINFIL INFIL POSComputational 
Results Database ALGEBRACDB 
X 100 
realizations 
..Wk 
lAanalarea 
Simulated Region 
Table I-5 Table I-7 Table I-8 
Table I-9 
Table I-6 Tulelakeinp 
* Watershed Names: 
atershed name.in 
TINFIL 
Computes infiltration rate 
maps for each of n sets of 
sampled input parameters. 
Each output CDB file iteratively accumulates rates for each watershed until all 
watersheds are included: also contains sampled input parameter values 
PostINFIL is run sequentially 
for watersheds Wz..
where k is the number of 
watershed incuded in the 
analysis 
LGEBRACDGB combines data from 
all the watersheds used in the 
ysis into one value representing 
the average over the loaded footprint 
* W
Note: Tables are in Attachment I 
WW1 WT2 
Input data CW1 SE7 
Input control SW1 SE8 
US1 SE9 
DH3 SE10 
DH4 
ANL-NBS-HS-000027 REV 01 Attachment II-3 October 2003 

Analysis of Infiltration Uncertainty 
U0095 
Generate Histograms and Weighting Factors 
Table I-11 
Table I-10 
Tabulation of net 
Final CDB infiltration rates HISTPLT HISTOGRAM 
per realization 
Contains average infiltration 
Generates histogram (discrete 
rates over repository footprint PDF) distribution mean, and 
for each realization standard deviation 
Net infiltration rate maps for 
lower, mean, and upper 
glacial transition climates 
(DTN: GS00030811221.005) 
[147613] 
Average Net 
infiltration for
EXCEL 
simulated region and 
exact footprint (DTN: 
SN309T0503100.010) 
Attachment IV 
Determine Weighting 
Factors for Lower, Mean, 
Upper Glacial Transition
Note: Tables are in Attachment 
Climates
Input data 
DTN: SN309T0503100.010 
Input control 
ANL-NBS-HS-000027 REV 01 Attachment II-
4 
October 2003 

Analysis of Infiltration Uncertainty U0095 
ATTACHMENT III 
OUTPUT FILE FROM LHS SAMPLED VALUES OF INPUT PARAMETERS FOR ALL 
100 REALIZATIONS 
This attachment contains sampled values for the twelve uncertain input parameters listed in 
Table 6-3 (as obtained from LHS) using 100 realizations. 
(LHS first echos the input; random seed, number of realizations, sampled parameter names, distribution 
types and ranges. Then the actual sampled values for the 12 uncertain parameters for each of the 100 
realizations begins following the heading. LATIN HYPERCUBE SAMPLE INPUT VECTORS on 
page III-3, where the sampled values for the first 10 parameters are listed first, horizontally, then for all 
100 realizations, and then the sampled values for the remaining last two parameters are listed, again for 
100 realizations. The realization number increases vertically downward. Below this table is another table 
showing the ranks for each parameter versus realization. And below this, finally, are displayed graphical 
representations of the resulting Latin Hypercube distribution for each parameter.) 
ANL-NBS-HS-000027 REV 01 Attachment III-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-2 October 2003 
Table III-1. LHS Output File Containing Sampled Values for 12 Uncertain Parameters 
1 
TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
RANDOM SEED = 733050198 
NUMBER OF VARIABLES = 12 
NUMBER OF OBSERVATIONS = 100 
0 THE SAMPLE INPUT VECTORS WILL BE PRINTED ALONG WITH THEIR CORRESPONDING RANKS 
0 HISTOGRAMS OF THE ACTUAL SAMPLE WILL BE PLOTTED FOR EACH INPUT VARIABLE 
0 THE CORRELATION MATRICES (RAW DATA AND RANK CORRELATIONS) WILL BE PRINTED 
0 A PLOT FILE OF SAMPLED VALUES AND CUMULATIVE PROBABILITIES WILL BE CREATED 
1 
TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
VARIABLE DISTRIBUTION RANGE LABEL 
0 1 NORMAL0 2 NORMAL0 3 NORMAL0 4 NORMAL0 5 NORMAL0 6 LOGNORMAL 
2.0000E-03 TO 2.4000E-02 FOOTPRNT BRPOROS 
0.0000E+00 TO 3.000 
0.1000 TO 1.900 
0.6000 TO 1.400 
0.6000 TO 1.400 
0.1000 TO 10.00 
FOOTPRNT BRZDEPTH 
FOOTPRNT SOILDEPM 
FOOTPRNT PRECIPM 
FOOTPRNT POTETMUL 
FOOTPRNT BRPERM 

Analysis of Infiltration Uncertainty U0095 
0 7 LOGNORMAL 0.1000 TO 10.00 FOOTPRNT SOILPERM 
0 8 NORMAL 0.1000 TO 19.90 FOOTPRNT ETCOEFFA 
0 9 NORMAL 0.5400 TO 1.540 FOOTPRNT ETCOEFFB 
0 10 NORMAL 1.0000E-02 TO 0.4900 FOOTPRNT FLAREA 
0 11 UNIFORM 0.0000E+00 TO 0.2000 FOOTPRNT SUBPAR1 
0 12 UNIFORM 0.7800 TO 2.780 FOOTPRNT SNOPAR1 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0LATIN HYPERCUBE SAMPLE INPUT VECTORS 
RUN NO. X(1) X(2) X(3) X(4) X(5) X(6) X(7) X(8) X(9) X(10) 
0 1 1.823E-02 2.060E+00 1.230E+00 1.115E+00 9.015E-01 3.698E+00 1.851E+00 1.121E+01 1.102E+00 3.044E-01 
0 2 1.284E-02 3.000E+00 7.175E-01 8.211E-01 7.525E-01 6.332E-01 2.890E+00 1.366E+01 1.158E+00 1.557E-01 
0 3 1.694E-02 2.801E+00 9.871E-01 9.971E-01 1.077E+00 3.644E-01 1.035E+00 9.421E+00 8.562E-01 3.208E-01 
0 4 7.808E-03 1.536E+00 6.747E-01 9.582E-01 1.375E+00 4.567E+00 1.450E+00 1.356E+01 1.165E+00 4.268E-01 
0 5 1.674E-02 1.322E+00 1.217E+00 1.024E+00 9.981E-01 4.088E+00 1.226E+00 5.313E+00 1.177E+00 2.193E-01 
0 6 1.361E-02 1.576E+00 1.450E+00 6.208E-01 8.708E-01 8.936E-01 1.896E+00 1.088E+01 7.500E-01 1.340E-01 
0 7 1.736E-02 1.515E+00 1.091E+00 9.348E-01 9.136E-01 5.330E-01 5.526E-01 9.808E+00 1.354E+00 3.492E-01 
0 8 1.560E-02 1.168E+00 3.948E-01 1.194E+00 1.020E+00 2.993E-01 1.021E+00 8.538E+00 1.193E+00 1.893E-01 
0 9 1.172E-02 1.054E+00 6.379E-01 1.144E+00 1.104E+00 2.529E+00 8.038E-01 5.179E+00 5.400E-01 8.259E-02 
0 10 1.134E-02 1.295E+00 1.292E+00 1.073E+00 8.152E-01 1.661E+00 2.610E-01 1.499E+00 1.467E+00 2.785E-01 
0 11 9.853E-03 2.268E+00 8.968E-01 1.252E+00 7.342E-01 1.007E+00 3.259E-01 7.534E+00 6.023E-01 1.303E-01 
0 12 7.563E-03 1.210E+00 1.204E+00 8.813E-01 1.123E+00 5.763E+00 8.696E-01 9.352E+00 1.150E+00 2.856E-01 
0 13 1.356E-02 1.774E+00 1.392E+00 1.170E+00 1.135E+00 1.063E+00 8.321E-01 1.695E+01 1.403E+00 4.811E-01 
0 14 8.031E-03 1.810E+00 8.060E-01 8.351E-01 1.099E+00 3.049E+00 1.179E+00 2.771E+00 1.325E+00 2.183E-01 
0 15 4.424E-03 2.021E+00 8.375E-01 8.849E-01 9.188E-01 6.677E-01 5.081E-01 1.140E+01 1.062E+00 2.707E-01 
0 16 1.031E-02 2.840E+00 8.235E-01 1.177E+00 1.049E+00 2.067E+00 2.220E+00 7.330E+00 1.265E+00 2.907E-01 
ANL-NBS-HS-000027 REV 01 Attachment III-3 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 17 2.054E-02 2.156E+00 9.597E-01 1.102E+00 1.006E+00 2.753E+00 2.087E-01 7.963E+00 9.041E-01 4.194E-01 
0 18 1.631E-02 2.013E+00 1.332E+00 6.838E-01 9.656E-01 7.951E+00 3.044E+00 3.420E+00 6.412E-01 3.573E-01 
0 19 6.506E-03 2.298E+00 5.468E-01 9.258E-01 9.488E-01 1.000E+01 4.167E-01 1.214E+01 9.933E-01 1.944E-01 
0 20 2.117E-02 1.421E+00 1.725E+00 1.153E+00 9.650E-01 2.613E+00 2.796E-01 1.894E+01 6.666E-01 1.836E-01 
0 21 2.019E-02 1.088E+00 9.112E-01 9.036E-01 1.206E+00 6.143E-01 9.508E-01 1.210E+01 1.026E+00 2.750E-01 
0 22 1.213E-02 1.490E+00 5.120E-01 1.225E+00 8.440E-01 1.246E+00 1.693E+00 9.031E+00 1.120E+00 2.346E-01 
0 23 2.272E-02 1.837E+00 1.121E+00 9.242E-01 1.038E+00 1.453E+00 2.416E+00 1.104E+01 1.312E+00 1.000E-02 
0 24 1.375E-02 1.729E+00 1.037E+00 9.756E-01 1.072E+00 3.132E-01 1.000E+01 1.990E+01 8.043E-01 2.331E-01 
0 25 1.161E-02 5.303E-01 7.009E-01 1.357E+00 8.334E-01 3.322E+00 6.063E-01 1.654E+01 7.821E-01 1.279E-01 
0 26 1.420E-02 1.847E+00 1.054E+00 8.575E-01 8.780E-01 2.607E-01 4.570E+00 7.680E+00 9.812E-01 2.615E-01 
0 27 8.134E-03 2.217E+00 4.487E-01 9.433E-01 6.727E-01 7.443E-01 1.289E+00 1.182E+01 1.143E+00 2.931E-01 
0 28 9.155E-03 1.303E+00 2.265E-01 9.059E-01 1.024E+00 1.092E+00 2.647E+00 1.572E+01 1.049E+00 3.741E-01 
0 29 1.248E-02 6.803E-01 4.792E-01 9.912E-01 7.209E-01 1.492E+00 6.805E-01 9.528E+00 7.139E-01 4.411E-01 
0 30 1.573E-02 5.906E-01 1.065E+00 1.038E+00 1.082E+00 2.001E+00 1.814E+00 1.017E+01 1.052E+00 3.320E-01 
0 31 1.439E-02 2.471E+00 1.980E-01 7.330E-01 1.058E+00 8.465E-01 9.613E-01 9.783E+00 8.274E-01 1.745E-01 
0 32 1.616E-02 2.069E+00 1.202E+00 1.325E+00 9.705E-01 1.180E+00 1.464E+00 4.730E+00 9.189E-01 3.029E-01 
0 33 1.644E-02 1.553E+00 5.347E-01 1.070E+00 1.028E+00 5.539E-01 8.893E-01 3.989E+00 8.921E-01 3.356E-01 
0 34 4.801E-03 1.232E+00 1.415E+00 1.282E+00 9.279E-01 2.182E+00 6.225E-01 6.821E+00 9.121E-01 7.665E-02 
0 35 6.676E-03 1.882E+00 7.410E-01 8.227E-01 9.762E-01 2.906E+00 6.115E+00 1.410E+01 9.748E-01 3.830E-01 
0 36 1.386E-02 1.364E+00 1.045E+00 1.034E+00 8.252E-01 5.499E+00 3.224E+00 1.508E+01 1.022E+00 1.685E-01 
0 37 1.913E-02 1.918E+00 6.722E-01 7.822E-01 8.854E-01 1.540E-01 7.950E-01 1.281E+01 1.220E+00 2.143E-01 
0 38 1.540E-02 7.329E-01 6.579E-01 1.013E+00 1.283E+00 2.438E+00 1.396E+00 5.802E+00 9.466E-01 2.052E-01 
0 39 1.504E-02 1.340E+00 6.069E-01 1.130E+00 1.153E+00 6.613E-01 3.595E-01 6.003E+00 7.724E-01 2.544E-01 
0 40 1.274E-02 2.253E+00 1.344E+00 1.118E+00 1.042E+00 2.273E+00 1.197E+00 1.530E+01 9.624E-01 3.420E-01 
0 41 9.393E-03 1.403E-01 1.900E+00 8.661E-01 1.014E+00 1.318E+00 7.292E-01 1.598E+01 8.986E-01 1.622E-01 
0 42 1.757E-02 1.198E+00 7.616E-01 1.020E+00 1.120E+00 3.357E-01 1.505E+00 1.143E+01 1.185E+00 2.517E-01 
ANL-NBS-HS-000027 REV 01 Attachment III-4 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 43 1.778E-02 1.460E+00 1.027E+00 9.552E-01 6.915E-01 6.622E+00 5.691E-01 1.235E+01 1.106E+00 2.251E-01 
0 44 1.891E-02 1.760E+00 1.179E+00 1.262E+00 1.033E+00 3.778E-01 1.994E+00 1.774E+01 1.006E+00 3.529E-01 
0 45 2.184E-02 1.709E+00 1.488E+00 1.004E+00 1.112E+00 7.848E-01 3.056E-01 7.237E+00 1.298E+00 1.457E-01 
0 46 7.393E-03 -2.384E-07 7.962E-01 1.008E+00 6.082E-01 8.729E-01 9.021E+00 6.139E+00 1.093E+00 2.392E-01 
0 47 1.226E-02 9.947E-01 9.202E-01 1.108E+00 8.830E-01 5.887E-01 2.328E+00 1.472E+01 1.032E+00 1.002E-01 
0 48 8.774E-03 1.067E+00 1.435E+00 1.054E+00 1.066E+00 2.735E-01 6.694E+00 8.199E+00 1.179E+00 4.109E-02 
0 49 1.657E-02 1.235E+00 3.032E-01 8.403E-01 1.011E+00 1.537E+00 3.422E-01 1.051E+01 8.205E-01 3.896E-01 
0 50 1.289E-02 7.498E-01 7.653E-01 7.585E-01 8.964E-01 3.969E-01 4.910E-01 8.801E+00 1.365E+00 1.515E-01 
0 51 2.000E-03 1.121E+00 4.129E-01 1.084E+00 1.212E+00 1.695E+00 1.201E-01 1.255E+01 9.522E-01 2.721E-01 
0 52 1.113E-02 1.407E+00 1.365E+00 8.053E-01 1.143E+00 7.692E-01 6.369E-01 1.187E+01 1.016E+00 3.688E-01 
0 53 1.018E-02 1.674E+00 8.769E-01 1.080E+00 1.323E+00 6.935E-01 1.560E+00 8.603E+00 1.490E+00 2.558E-01 
0 54 1.846E-02 9.085E-01 8.451E-01 7.558E-01 7.670E-01 1.128E+00 9.251E-01 7.508E+00 1.385E+00 2.886E-01 
0 55 1.946E-02 9.208E-01 1.128E+00 9.101E-01 9.056E-01 7.050E-01 7.726E-01 1.032E+01 1.224E+00 2.088E-01 
0 56 1.868E-02 1.589E+00 1.275E+00 1.125E+00 8.406E-01 4.988E+00 5.553E+00 2.205E+00 9.879E-01 3.480E-01 
0 57 1.201E-02 8.746E-01 1.167E+00 9.619E-01 1.110E+00 9.152E-01 3.862E-01 9.227E+00 1.131E+00 1.902E-01 
0 58 1.795E-02 2.523E+00 5.941E-01 1.051E+00 9.838E-01 8.043E-01 2.702E+00 8.509E-01 1.281E+00 2.213E-01 
0 59 3.468E-03 6.100E-01 1.610E+00 9.517E-01 9.823E-01 2.890E-01 3.504E+00 6.865E+00 1.088E+00 3.006E-01 
0 60 1.458E-02 2.177E+00 3.243E-01 8.438E-01 1.244E+00 1.927E+00 7.183E-01 1.160E+01 8.598E-01 1.142E-01 
0 61 1.260E-02 6.677E-01 1.752E+00 1.099E+00 9.216E-01 1.309E-01 1.605E+00 1.082E+01 9.649E-01 2.669E-01 
0 62 1.321E-02 8.442E-01 1.316E+00 6.000E-01 9.348E-01 1.369E+00 1.000E-01 5.681E+00 9.996E-01 2.806E-01 
0 63 6.252E-03 2.102E+00 1.070E+00 8.120E-01 7.936E-01 5.129E-01 4.722E-01 1.455E+01 1.125E+00 3.984E-01 
0 64 5.682E-03 2.412E+00 1.248E+00 6.596E-01 1.349E+00 1.195E+00 1.660E+00 5.477E+00 1.167E+00 6.914E-02 
0 65 9.701E-03 9.489E-01 7.140E-01 1.216E+00 1.267E+00 4.108E-01 1.154E+00 1.426E+01 1.099E+00 2.014E-01 
0 66 1.474E-02 1.954E+00 1.007E+00 9.833E-01 1.163E+00 2.146E+00 6.478E-01 9.644E+00 1.329E+00 3.125E-01 
0 67 1.058E-02 1.784E+00 1.644E+00 9.149E-01 6.000E-01 1.576E+00 1.333E+00 1.307E+01 8.758E-01 3.251E-01 
0 68 8.447E-03 1.870E+00 1.509E+00 1.160E+00 1.070E+00 2.248E-01 2.046E+00 1.317E+01 1.060E+00 4.458E-01 
ANL-NBS-HS-000027 REV 01 Attachment III-5 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 69 9.306E-03 1.030E+00 1.252E+00 7.244E-01 7.780E-01 1.266E+00 2.176E-01 1.405E+01 1.140E+00 9.449E-02 
0 70 5.598E-03 1.523E+00 4.971E-01 1.043E+00 9.298E-01 3.472E-01 8.560E-01 6.474E+00 9.714E-01 3.080E-01 
0 71 2.783E-03 1.625E+00 1.144E+00 1.146E+00 1.147E+00 1.712E-01 1.401E-01 1.023E+01 1.233E+00 2.603E-01 
0 72 1.973E-02 1.734E+00 1.459E+00 9.393E-01 1.089E+00 1.610E+00 1.766E+00 4.148E+00 7.620E-01 2.440E-01 
0 73 2.251E-02 1.661E+00 5.729E-01 8.919E-01 8.610E-01 6.009E-01 6.956E-01 1.295E+01 1.078E+00 1.793E-01 
0 74 1.457E-02 2.401E+00 1.300E+00 1.195E+00 9.398E-01 4.335E-01 1.055E+00 6.672E+00 1.010E+00 3.810E-01 
0 75 1.069E-02 1.441E+00 6.246E-01 1.064E+00 8.032E-01 9.749E-01 4.674E+00 1.166E+01 1.114E+00 1.393E-01 
0 76 1.344E-02 1.642E+00 1.566E+00 7.045E-01 1.055E+00 7.304E-01 5.377E-01 1.338E+01 1.043E+00 2.828E-01 
0 77 1.309E-02 2.674E+00 1.520E+00 1.400E+00 1.266E+00 1.414E+00 1.283E+00 1.109E+01 9.288E-01 1.545E-01 
0 78 1.597E-02 1.278E+00 1.114E+00 1.088E+00 9.907E-01 9.450E-01 9.999E-01 8.901E+00 1.540E+00 1.066E-01 
0 79 1.191E-02 7.920E-01 7.853E-01 1.315E+00 9.447E-01 8.237E-01 2.091E+00 3.165E+00 1.081E+00 2.027E-01 
0 80 1.145E-02 1.902E+00 9.287E-01 1.234E+00 8.629E-01 1.735E+00 1.105E+00 1.236E+01 9.382E-01 1.967E-01 
0 81 1.729E-02 1.614E+00 8.539E-01 8.981E-01 1.400E+00 5.194E-01 5.193E-01 1.056E+01 8.511E-01 3.135E-01 
0 82 1.118E-02 1.393E+00 1.108E+00 9.919E-01 1.167E+00 1.883E-01 3.572E-01 7.093E+00 7.362E-01 2.267E-01 
0 83 1.713E-02 8.070E-01 9.913E-01 1.208E+00 1.130E+00 3.382E+00 1.625E-01 1.486E+01 1.256E+00 1.205E-01 
0 84 1.039E-02 2.561E+00 1.014E+00 1.092E+00 8.092E-01 2.093E-01 1.089E+00 6.331E+00 1.037E+00 1.641E-01 
0 85 1.399E-02 1.483E+00 8.857E-01 1.183E+00 1.180E+00 1.831E+00 2.510E+00 1.740E+01 1.418E+00 2.969E-01 
0 86 1.511E-02 9.743E-01 9.619E-01 8.553E-01 8.915E-01 2.332E+00 4.326E-01 1.072E+01 1.213E+00 3.386E-01 
0 87 2.400E-02 3.183E-01 9.348E-01 7.756E-01 1.230E+00 1.000E-01 1.371E+00 1.267E+01 9.410E-01 1.839E-01 
0 88 9.524E-03 1.964E+00 1.190E+00 9.654E-01 1.195E+00 3.939E+00 4.592E-01 1.555E+01 1.252E+00 2.421E-01 
0 89 8.916E-03 1.980E+00 1.576E+00 8.757E-01 9.562E-01 5.685E-01 4.499E-01 1.002E+01 9.270E-01 2.452E-01 
0 90 1.000E-02 1.161E+00 1.153E+00 9.305E-01 1.233E+00 9.926E-01 3.194E+00 7.832E+00 8.151E-01 2.635E-01 
0 91 1.578E-02 1.022E+00 1.000E-01 1.044E+00 1.094E+00 4.579E-01 3.903E-01 4.329E+00 7.918E-01 3.263E-01 
0 92 1.229E-02 1.915E-01 1.263E+00 9.818E-01 1.189E+00 1.349E+00 4.099E+00 9.083E+00 8.358E-01 4.900E-01 
0 93 1.495E-02 2.136E+00 9.796E-01 1.138E+00 7.849E-01 2.420E-01 2.419E-01 1.810E+01 6.957E-01 2.498E-01 
0 94 7.027E-03 1.696E+00 1.088E+00 9.710E-01 1.047E+00 1.033E+00 7.562E-01 9.910E+00 1.287E+00 2.111E-01 
ANL-NBS-HS-000027 REV 01 Attachment III-6 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-7 October 2003 
0 95 1.330E-02 1.383E+00 8.685E-01 1.014E+00 9.574E-01 1.883E+00 5.894E-01 1.383E+01 1.199E+00 1.704E-01 
0 96 1.096E-02 2.342E+00 1.839E+00 1.060E+00 1.002E+00 4.879E-01 1.863E-01 1.000E-01 8.723E-01 2.310E-01 
0 97 1.082E-02 1.266E+00 9.462E-01 7.967E-01 8.518E-01 4.733E-01 2.268E+00 8.052E+00 8.878E-01 3.641E-01 
0 98 8.661E-03 1.139E+00 8.125E-01 8.728E-01 1.175E+00 1.137E+00 3.860E+00 8.292E+00 5.755E-01 3.582E-02 
0 99 1.524E-02 4.409E-01 7.356E-01 1.290E+00 7.100E-01 4.349E-01 2.921E-01 8.436E+00 1.241E+00 4.031E-01 
0 100 1.413E-02 4.268E-01 1.372E+00 1.028E+00 9.944E-01 3.196E+00 3.608E+00 4.833E+00 1.072E+00 3.177E-01 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 
0LATIN HYPERCUBE SAMPLE INPUT VECTORS 
RUN NO. X(11) X(12) 
0 1 1.571E-01 2.158E+00 
0 2 7.899E-02 1.084E+00 
0 3 4.278E-02 1.073E+00 
0 4 1.945E-01 1.778E+00 
0 5 2.968E-04 8.480E-01 
0 6 1.137E-01 2.000E+00 
0 7 4.974E-02 1.687E+00 
0 8 1.170E-01 1.806E+00 
0 9 1.689E-01 1.169E+00 
0 10 1.595E-01 1.047E+00 
0 11 1.192E-01 2.216E+00 
0 12 1.819E-01 2.654E+00 
0 13 1.973E-01 1.849E+00 
0 14 6.094E-02 1.668E+00 
0 15 2.240E-02 1.587E+00 
0 16 1.261E-01 2.285E+00 
08/22/03 16:27:48 

Analysis of Infiltration Uncertainty U0095 
0 17 1.061E-01 8.812E-01 
0 18 3.334E-02 2.513E+00 
0 19 1.374E-01 1.399E+00 
0 20 1.318E-01 2.001E+00 
0 21 8.391E-02 1.916E+00 
0 22 5.225E-03 1.629E+00 
0 23 1.150E-01 1.945E+00 
0 24 7.343E-02 1.821E+00 
0 25 1.624E-01 2.581E+00 
0 26 5.193E-02 1.747E+00 
0 27 8.031E-02 2.772E+00 
0 28 7.456E-02 1.787E+00 
0 29 1.762E-02 9.068E-01 
0 30 7.349E-03 9.300E-01 
0 31 1.549E-01 8.084E-01 
0 32 1.339E-01 2.498E+00 
0 33 1.357E-01 2.758E+00 
0 34 4.017E-02 1.710E+00 
0 35 8.800E-02 2.732E+00 
0 36 1.443E-01 2.047E+00 
0 37 1.741E-01 2.604E+00 
0 38 8.808E-02 2.339E+00 
0 39 9.344E-02 1.139E+00 
0 40 4.684E-02 1.110E+00 
0 41 1.391E-02 2.166E+00 
0 42 1.611E-01 1.872E+00 
ANL-NBS-HS-000027 REV 01 Attachment III-8 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 43 1.720E-01 8.214E-01 
0 44 1.468E-02 2.232E+00 
0 45 9.658E-02 2.523E+00 
0 46 1.760E-01 1.498E+00 
0 47 1.105E-01 1.577E+00 
0 48 1.425E-01 1.005E+00 
0 49 1.491E-01 1.333E+00 
0 50 6.248E-02 2.022E+00 
0 51 2.432E-02 2.469E+00 
0 52 1.255E-01 9.749E-01 
0 53 9.936E-02 1.306E+00 
0 54 1.405E-01 1.272E+00 
0 55 8.284E-03 2.407E+00 
0 56 5.477E-02 2.197E+00 
0 57 3.717E-02 1.231E+00 
0 58 1.097E-01 2.430E+00 
0 59 8.425E-02 1.030E+00 
0 60 1.711E-01 2.663E+00 
0 61 1.856E-01 2.709E+00 
0 62 1.027E-01 2.255E+00 
0 63 1.175E-02 2.094E+00 
0 64 5.221E-02 1.509E+00 
0 65 3.294E-03 2.108E+00 
0 66 6.838E-02 2.632E+00 
0 67 3.874E-02 1.723E+00 
0 68 3.449E-02 1.430E+00 
ANL-NBS-HS-000027 REV 01 Attachment III-9 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 69 2.707E-02 2.273E+00 
0 70 9.583E-02 1.477E+00 
0 71 7.627E-02 1.368E+00 
0 72 4.562E-02 1.199E+00 
0 73 5.641E-02 9.557E-01 
0 74 1.641E-01 1.211E+00 
0 75 3.159E-02 2.301E+00 
0 76 1.517E-01 2.399E+00 
0 77 1.051E-01 1.257E+00 
0 78 1.531E-01 1.538E+00 
0 79 1.675E-01 1.407E+00 
0 80 1.985E-02 1.459E+00 
0 81 7.060E-02 1.617E+00 
0 82 6.630E-02 2.065E+00 
0 83 2.975E-02 1.152E+00 
0 84 5.834E-02 2.578E+00 
0 85 1.010E-01 1.293E+00 
0 86 1.391E-01 1.921E+00 
0 87 1.292E-01 1.644E+00 
0 88 1.214E-01 9.884E-01 
0 89 1.992E-01 1.971E+00 
0 90 1.928E-01 2.556E+00 
0 91 2.063E-02 2.458E+00 
0 92 6.468E-02 2.350E+00 
0 93 1.906E-01 1.356E+00 
0 94 1.783E-01 1.548E+00 
ANL-NBS-HS-000027 REV 01 Attachment III-10 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 95 1.475E-01 2.690E+00 
0 96 9.158E-02 2.367E+00 
0 97 1.869E-01 7.898E-01 
0 98 1.898E-01 8.639E-01 
0 99 1.828E-01 1.880E+00 
0 100 1.222E-01 2.122E+00 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0RANKS OF LATIN HYPERCUBE SAMPLE INPUT VECTORS 
RUN NO. X(1) X(2) X(3) X(4) X(5) X(6) X(7) X(8) X(9) X(10) 
0 1 87. 81. 73. 75. 29. 91. 74. 62. 62. 71. 
0 2 49. 100. 24. 15. 8. 33. 86. 81. 71. 19. 
0 3 80. 98. 49. 50. 68. 16. 52. 45. 20. 76. 
0 4 14. 53. 21. 41. 99. 94. 65. 80. 72. 96. 
0 5 79. 40. 72. 56. 50. 93. 59. 14. 74. 39. 
0 6 56. 55. 88. 2. 23. 46. 75. 59. 9. 14. 
0 7 83. 51. 60. 36. 31. 27. 28. 49. 93. 84. 
0 8 71. 31. 6. 87. 55. 12. 51. 37. 77. 28. 
0 9 40. 25. 18. 80. 73. 83. 42. 13. 1. 6. 
0 10 37. 38. 78. 67. 15. 70. 9. 3. 98. 61. 
0 11 26. 89. 40. 93. 7. 51. 13. 29. 3. 13. 
0 12 13. 33. 71. 25. 77. 97. 45. 44. 70. 64. 
0 13 55. 67. 85. 84. 79. 53. 43. 95. 96. 99. 
0 14 15. 69. 31. 17. 72. 87. 57. 5. 91. 38. 
0 15 4. 80. 34. 26. 32. 35. 25. 63. 55. 58. 
0 16 29. 99. 33. 85. 62. 77. 79. 27. 86. 66. 
ANL-NBS-HS-000027 REV 01 Attachment III-11 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-12 October 2003 
0 17 95. 85. 46. 73. 52. 85. 6. 32. 27. 95. 
0 18 76. 79. 81. 4. 43. 99. 87. 7. 4. 86. 
0 19 9. 90. 13. 34. 39. 100. 19. 70. 42. 30. 
0 20 96. 46. 97. 82. 42. 84. 10. 99. 5. 26. 
0 21 94. 27. 41. 29. 89. 32. 48. 69. 48. 60. 
0 22 43. 50. 11. 91. 19. 59. 71. 41. 65. 45. 
0 23 99. 70. 63. 33. 59. 65. 82. 60. 90. 1. 
0 24 57. 64. 54. 45. 67. 13. 100. 100. 14. 44. 
0 25 39. 7. 22. 99. 17. 89. 31. 94. 12. 12. 
0 26 61. 71. 56. 21. 24. 9. 94. 30. 40. 55. 
0 27 16. 87. 8. 38. 3. 39. 61. 67. 69. 67. 
0 28 21. 39. 3. 30. 56. 54. 84. 92. 52. 89. 
0 29 46. 11. 9. 48. 6. 66. 35. 46. 7. 97. 
0 30 72. 8. 57. 59. 69. 76. 73. 52. 53. 79. 
0 31 62. 94. 2. 7. 64. 44. 49. 48. 17. 24. 
0 32 75. 82. 70. 98. 44. 57. 66. 11. 29. 70. 
0 33 77. 54. 12. 66. 57. 28. 46. 8. 25. 80. 
0 34 5. 34. 86. 95. 34. 79. 32. 23. 28. 5. 
0 35 10. 73. 26. 16. 45. 86. 97. 84. 39. 91. 
0 36 58. 42. 55. 58. 16. 96. 89. 89. 47. 22. 
0 37 91. 75. 20. 11. 26. 3. 41. 75. 80. 37. 
0 38 70. 12. 19. 53. 96. 82. 64. 17. 34. 34. 
0 39 67. 41. 16. 78. 82. 34. 16. 18. 11. 52. 
0 40 48. 88. 82. 76. 60. 80. 58. 90. 36. 82. 
0 41 23. 2. 100. 22. 54. 61. 38. 93. 26. 20. 
0 42 84. 32. 27. 55. 76. 14. 67. 64. 76. 51. 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-13 October 2003 
0 43 85. 48. 53. 40. 4. 98. 29. 71. 63. 41. 
0 44 90. 66. 68. 94. 58. 17. 76. 97. 44. 85. 
0 45 97. 63. 90. 51. 75. 41. 12. 26. 89. 16. 
0 46 12. 1. 30. 52. 2. 45. 99. 19. 60. 46. 
0 47 44. 22. 42. 74. 25. 30. 81. 87. 49. 8. 
0 48 19. 26. 87. 63. 65. 10. 98. 34. 75. 3. 
0 49 78. 35. 4. 18. 53. 67. 14. 55. 16. 92. 
0 50 50. 13. 28. 9. 28. 18. 24. 39. 94. 17. 
0 51 1. 28. 7. 69. 90. 71. 2. 73. 35. 59. 
0 52 35. 45. 83. 13. 80. 40. 33. 68. 46. 88. 
0 53 28. 61. 38. 68. 97. 36. 68. 38. 99. 53. 
0 54 88. 18. 35. 8. 9. 55. 47. 28. 95. 65. 
0 55 92. 19. 64. 31. 30. 37. 40. 54. 81. 35. 
0 56 89. 56. 77. 77. 18. 95. 96. 4. 41. 83. 
0 57 42. 17. 67. 42. 74. 47. 17. 43. 67. 29. 
0 58 86. 95. 15. 62. 47. 42. 85. 2. 87. 40. 
0 59 3. 9. 95. 39. 46. 11. 90. 24. 59. 69. 
0 60 64. 86. 5. 19. 93. 75. 37. 65. 21. 10. 
0 61 47. 10. 98. 72. 33. 2. 69. 58. 37. 57. 
0 62 52. 16. 80. 1. 36. 63. 1. 16. 43. 62. 
0 63 8. 83. 58. 14. 12. 25. 23. 86. 66. 93. 
0 64 7. 93. 74. 3. 98. 58. 70. 15. 73. 4. 
0 65 25. 20. 23. 90. 95. 19. 56. 85. 61. 32. 
0 66 65. 76. 51. 47. 83. 78. 34. 47. 92. 73. 
0 67 31. 68. 96. 32. 1. 68. 62. 77. 23. 77. 
0 68 17. 72. 91. 83. 66. 7. 77. 78. 54. 98. 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-14 October 2003 
0 69 22. 24. 75. 6. 10. 60. 7. 83. 68. 7. 
0 70 6. 52. 10. 60. 35. 15. 44. 21. 38. 72. 
0 71 2. 58. 65. 81. 81. 4. 3. 53. 82. 54. 
0 72 93. 65. 89. 37. 70. 69. 72. 9. 10. 48. 
0 73 98. 60. 14. 27. 21. 31. 36. 76. 57. 25. 
0 74 63. 92. 79. 88. 37. 20. 53. 22. 45. 90. 
0 75 32. 47. 17. 65. 13. 49. 95. 66. 64. 15. 
0 76 54. 59. 93. 5. 63. 38. 27. 79. 51. 63. 
0 77 51. 97. 92. 100. 94. 64. 60. 61. 31. 18. 
0 78 74. 37. 62. 70. 48. 48. 50. 40. 100. 9. 
0 79 41. 14. 29. 97. 38. 43. 78. 6. 58. 33. 
0 80 38. 74. 43. 92. 22. 72. 55. 72. 32. 31. 
0 81 82. 57. 36. 28. 100. 26. 26. 56. 19. 74. 
0 82 36. 44. 61. 49. 84. 5. 15. 25. 8. 42. 
0 83 81. 15. 50. 89. 78. 90. 4. 88. 85. 11. 
0 84 30. 96. 52. 71. 14. 6. 54. 20. 50. 21. 
0 85 59. 49. 39. 86. 86. 73. 83. 96. 97. 68. 
0 86 68. 21. 47. 20. 27. 81. 20. 57. 79. 81. 
0 87 100. 4. 44. 10. 91. 1. 63. 74. 33. 27. 
0 88 24. 77. 69. 43. 88. 92. 22. 91. 84. 47. 
0 89 20. 78. 94. 24. 40. 29. 21. 51. 30. 49. 
0 90 27. 30. 66. 35. 92. 50. 88. 31. 15. 56. 
0 91 73. 23. 1. 61. 71. 22. 18. 10. 13. 78. 
0 92 45. 3. 76. 46. 87. 62. 93. 42. 18. 100. 
0 93 66. 84. 48. 79. 11. 8. 8. 98. 6. 50. 
0 94 11. 62. 59. 44. 61. 52. 39. 50. 88. 36. 

Analysis of Infiltration Uncertainty U0095 
0 95 53. 43. 37. 54. 41. 74. 30. 82. 78. 23. 
0 96 34. 91. 99. 64. 51. 24. 5. 1. 22. 43. 
0 97 33. 36. 45. 12. 20. 23. 80. 33. 24. 87. 
0 98 18. 29. 32. 23. 85. 56. 92. 35. 2. 2. 
0 99 69. 6. 25. 96. 5. 21. 11. 36. 83. 94. 
0 100 60. 5. 84. 57. 49. 88. 91. 12. 56. 75. 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0RANKS OF LATIN HYPERCUBE SAMPLE INPUT VECTORS 
RUN NO. X(11) X(12) 
0 1 79. 69. 
0 2 40. 16. 
0 3 22. 15. 
0 4 98. 50. 
0 5 1. 4. 
0 6 57. 61. 
0 7 25. 46. 
0 8 59. 52. 
0 9 85. 20. 
0 10 80. 14. 
0 11 60. 72. 
0 12 91. 94. 
0 13 99. 54. 
0 14 31. 45. 
0 15 12. 41. 
0 16 64. 76. 
ANL-NBS-HS-000027 REV 01 Attachment III-15 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 17 54. 6. 
0 18 17. 87. 
0 19 69. 31. 
0 20 66. 62. 
0 21 42. 57. 
0 22 3. 43. 
0 23 58. 59. 
0 24 37. 53. 
0 25 82. 91. 
0 26 26. 49. 
0 27 41. 100. 
0 28 38. 51. 
0 29 9. 7. 
0 30 4. 8. 
0 31 78. 2. 
0 32 67. 86. 
0 33 68. 99. 
0 34 21. 47. 
0 35 44. 98. 
0 36 73. 64. 
0 37 88. 92. 
0 38 45. 78. 
0 39 47. 18. 
0 40 24. 17. 
0 41 7. 70. 
0 42 81. 55. 
ANL-NBS-HS-000027 REV 01 Attachment III-16 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 43 87. 3. 
0 44 8. 73. 
0 45 49. 88. 
0 46 89. 36. 
0 47 56. 40. 
0 48 72. 12. 
0 49 75. 28. 
0 50 32. 63. 
0 51 13. 85. 
0 52 63. 10. 
0 53 50. 27. 
0 54 71. 25. 
0 55 5. 82. 
0 56 28. 71. 
0 57 19. 23. 
0 58 55. 83. 
0 59 43. 13. 
0 60 86. 95. 
0 61 93. 97. 
0 62 52. 74. 
0 63 6. 66. 
0 64 27. 37. 
0 65 2. 67. 
0 66 35. 93. 
0 67 20. 48. 
0 68 18. 33. 
ANL-NBS-HS-000027 REV 01 Attachment III-17 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 69 14. 75. 
0 70 48. 35. 
0 71 39. 30. 
0 72 23. 21. 
0 73 29. 9. 
0 74 83. 22. 
0 75 16. 77. 
0 76 76. 81. 
0 77 53. 24. 
0 78 77. 38. 
0 79 84. 32. 
0 80 10. 34. 
0 81 36. 42. 
0 82 34. 65. 
0 83 15. 19. 
0 84 30. 90. 
0 85 51. 26. 
0 86 70. 58. 
0 87 65. 44. 
0 88 61. 11. 
0 89 100. 60. 
0 90 97. 89. 
0 91 11. 84. 
0 92 33. 79. 
0 93 96. 29. 
0 94 90. 39. 
ANL-NBS-HS-000027 REV 01 Attachment III-18 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-19 October 2003 
0 95 74. 96. 
0 96 46. 80. 
0 97 94. 1. 
0 98 95. 5. 
0 99 92. 56. 
0 100 62. 68. 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 1 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.1650000E-02 1 X 
0.2750000E-02 1 X 
0.3850000E-02 1 X 
0.4950000E-02 2 XX 
0.6050000E-02 4 XXXX 
0.7149999E-02 4 XXXX 
0.8249999E-02 6 XXXXXX 
0.9349999E-02 7 XXXXXXX 
0.1045000E-01 8 XXXXXXXX 
0.1155000E-01 8 XXXXXXXX 
0.1265000E-01 9 XXXXXXXXX 
0.1375000E-01 10 XXXXXXXXXX 
0.1485000E-01 8 XXXXXXXX 
0.1595000E-01 8 XXXXXXXX 
0.1705000E-01 7 XXXXXXX 

Analysis of Infiltration Uncertainty U0095 
0.1815000E-01 5 XXXXX 
0.1925000E-01 4 XXXX 
0.2035000E-01 2 XX 
0.2145000E-01 2 XX 
0.2255000E-01 2 XX 
0.2365000E-01 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.1999998E-02 0.2400000E-01 0.2200000E-01 0.1299409E-01 0.1299157E-01 0.2160614E-04 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 2 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
-0.7500000E-01 
0.7500000E-01 
0.2250000 
0.3750000 
0.5250000 
0.6750001 
0.8250001 
0.9750001 
1 X 
1 X 
1 X 
3 XXX 
2 XX 
5 XXXXX 
4 XXXX 
7 XXXXXXX 
ANL-NBS-HS-000027 REV 01 Attachment III-20 October 2003 

Analysis of Infiltration Uncertainty U0095 
1.125000 8 XXXXXXXX 
1.275000 9 XXXXXXXXX 
1.425000 9 XXXXXXXXX 
1.575000 9 XXXXXXXXX 
1.725000 9 XXXXXXXXX 
1.875000 7 XXXXXXX 
2.025000 7 XXXXXXX 
2.175000 5 XXXXX 
2.325000 4 XXXX 
2.475000 4 XXXX 
2.625000 2 XX 
2.775001 2 XX 
2.925001 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
-0.2384186E-06 3.000000 3.000000 1.499640 1.502515 0.3986081 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 3 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.1349999 1 X 
ANL-NBS-HS-000027 REV 01 Attachment III-21 October 2003 

Analysis of Infiltration Uncertainty U0095 
0.2249999 2 XX 
0.3149998 2 XX 
0.4049998 3 XXX 
0.4949997 4 XXXX 
0.5849997 5 XXXXX 
0.6749997 7 XXXXXXX 
0.7649996 7 XXXXXXX 
0.8549996 9 XXXXXXXXX 
0.9449996 9 XXXXXXXXX 
1.034999 9 XXXXXXXXX 
1.124999 9 XXXXXXXXX 
1.214999 8 XXXXXXXX 
1.304999 7 XXXXXXX 
1.394999 5 XXXXX 
1.484999 5 XXXXX 
1.574999 3 XXX 
1.664999 1 X 
1.754999 2 XX 
1.844999 1 X 
1.934999 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.9999979E-01 1.900000 1.800000 1.000563 0.9991257 0.1434197 
ANL-NBS-HS-000027 REV 01 Attachment III-22 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NBS-HS-000027 REV 01 Attachment III-23 October 2003 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 4 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.6199999 2 XX 
0.6599999 1 X 
0.6999999 2 XX 
0.7399999 4 XXXX 
0.7800000 3 XXX 
0.8200000 5 XXXXX 
0.8600000 7 XXXXXXX 
0.9000000 8 XXXXXXXX 
0.9400001 9 XXXXXXXXX 
0.9800001 9 XXXXXXXXX 
1.020000 9 XXXXXXXXX 
1.060000 8 XXXXXXXX 
1.100000 9 XXXXXXXXX 
1.140000 7 XXXXXXX 
1.180000 5 XXXXX 
1.220000 4 XXXX 
1.260000 2 XX 
1.300000 3 XXX 
1.340000 2 XX 
1.380000 0 

Analysis of Infiltration Uncertainty U0095 
1.420000 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.6000000 1.400000 0.8000001 0.9998415 1.000569 0.2853096E-01 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 5 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.6199999 2 XX 
0.6599999 1 X 
0.6999999 2 XX 
0.7399999 3 XXX 
0.7800000 4 XXXX 
0.8200000 5 XXXXX 
0.8600000 7 XXXXXXX 
0.9000000 8 XXXXXXXX 
0.9400001 9 XXXXXXXXX 
0.9800001 9 XXXXXXXXX 
1.020000 9 XXXXXXXXX 
1.060000 9 XXXXXXXXX 
1.100000 7 XXXXXXX 
ANL-NBS-HS-000027 REV 01 Attachment III-24 October 2003 

Analysis of Infiltration Uncertainty U0095 
1.140000 7 XXXXXXX 
1.180000 6 XXXXXX 
1.220000 4 XXXX 
1.260000 3 XXX 
1.300000 1 X 
1.340000 2 XX 
1.380000 1 X 
1.420000 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.6000000 1.400000 0.8000001 1.000062 0.9998701 0.2863144E-01 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 6 LOGNORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.2499999 24 XXXXXXXXXXXXXXXXXXXXXXXX 
0.7499998 26 XXXXXXXXXXXXXXXXXXXXXXXXXX 
1.250000 16 XXXXXXXXXXXXXXXX 
1.750000 9 XXXXXXXXX 
2.249999 7 XXXXXXX 
2.749999 4 XXXX 
ANL-NBS-HS-000027 REV 01 Attachment III-25 October 2003 

Analysis of Infiltration Uncertainty U0095 
3.249999 4 XXXX 
3.749999 2 XX 
4.249999 1 X 
4.749999 2 XX 
5.249999 1 X 
5.749999 1 X 
6.249999 0 
6.749999 1 X 
7.249999 0 
7.749999 1 X 
8.249998 0 
8.749998 0 
9.249998 0 
9.749998 0 
10.25000 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.9999995E-01 10.00000 9.900004 1.578308 0.9997468 2.868173 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 7 LOGNORMAL DISTRIBUTION 
MIDPOINT FREQ. 
ANL-NBS-HS-000027 REV 01 Attachment III-26 October 2003 

Analysis of Infiltration Uncertainty U0095
ANL-NBS-HS-000027 REV 01 Attachment III-27 October 2003 
0.2499999 24 XXXXXXXXXXXXXXXXXXXXXXXX 
0.7499998 26 XXXXXXXXXXXXXXXXXXXXXXXXXX 
1.250000 16 XXXXXXXXXXXXXXXX 
1.750000 10 XXXXXXXXXX 
2.249999 6 XXXXXX 
2.749999 4 XXXX 
3.249999 3 XXX 
3.749999 3 XXX 
4.249999 1 X 
4.749999 2 XX 
5.249999 0 
5.749999 1 X 
6.249999 1 X 
6.749999 1 X 
7.249999 0 
7.749999 0 
8.249998 0 
8.749998 0 
9.249998 1 X 
9.749998 0 
10.25000 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 

Analysis of Infiltration Uncertainty U0095
ANL-NBS-HS-000027 REV 01 Attachment III-28 October 2003 
0.9999995E-01 10.00000 9.900004 1.586937 1.010666 3.028481 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 8 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.4949997 2 XX 
1.484999 1 X 
2.474998 2 XX 
3.464998 2 XX 
4.454997 5 XXXXX 
5.444996 5 XXXXX 
6.434996 7 XXXXXXX 
7.424995 7 XXXXXXX 
8.414994 9 XXXXXXXXX 
9.404994 9 XXXXXXXXX 
10.39499 10 XXXXXXXXXX 
11.38499 9 XXXXXXXXX 
12.37499 7 XXXXXXX 
13.36499 7 XXXXXXX 
14.35499 5 XXXXX 
15.34499 5 XXXXX 
16.33499 2 XX 
17.32499 3 XXX 

Analysis of Infiltration Uncertainty U0095 
18.31499 1 X 
19.30499 1 X 
20.29499 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.9999847E-01 19.90000 19.80000 9.992899 9.966703 17.41113 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 9 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.5249998 1 X 
0.5749998 1 X 
0.6249998 2 XX 
0.6749998 2 XX 
0.7249998 2 XX 
0.7749999 5 XXXXX 
0.8249999 5 XXXXX 
0.8749999 8 XXXXXXXX 
0.9249999 8 XXXXXXXX 
0.9749999 9 XXXXXXXXX 
1.025000 9 XXXXXXXXX 
ANL-NBS-HS-000027 REV 01 Attachment III-29 October 2003 

Analysis of Infiltration Uncertainty U0095 
1.075000 9 XXXXXXXXX 
1.125000 8 XXXXXXXX 
1.175000 9 XXXXXXXXX 
1.225000 5 XXXXX 
1.275000 6 XXXXXX 
1.325000 3 XXX 
1.375000 3 XXX 
1.424999 2 XX 
1.474999 2 XX 
1.524999 1 X 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.5399998 1.540000 1.000000 1.039693 1.040313 0.4451736E-01 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 10 NORMAL DISTRIBUTION 
MIDPOINT FREQ. 
0.1200000E-01 1 X 
0.3600001E-01 2 XX 
0.6000002E-01 1 X 
0.8400002E-01 3 XXX 
ANL-NBS-HS-000027 REV 01 Attachment III-30 October 2003 

Analysis of Infiltration Uncertainty U0095
ANL-NBS-HS-000027 REV 01 Attachment III-31 October 2003 
0.1080000 3 XXX 
0.1320000 5 XXXXX 
0.1560000 6 XXXXXX 
0.1800000 8 XXXXXXXX 
0.2040000 8 XXXXXXXX 
0.2280000 9 XXXXXXXXX 
0.2520001 10 XXXXXXXXXX 
0.2760001 8 XXXXXXXX 
0.3000001 8 XXXXXXXX 
0.3240001 8 XXXXXXXX 
0.3480001 6 XXXXXX 
0.3720002 5 XXXXX 
0.3960002 3 XXX 
0.4200002 2 XX 
0.4440002 2 XX 
0.4680002 0 
0.4920003 2 XX 
0 100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.9999931E-02 0.4900001 0.4800001 0.2500286 0.2507621 0.1025054E-01 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 11 UNIFORM DISTRIBUTION 

Analysis of Infiltration Uncertainty U0095 
MIDPOINT FREQ. 
0.4949997E-02 5 XXXXX 
0.1484999E-01 4 XXXX 
0.2474998E-01 5 XXXXX 
0.3464998E-01 6 XXXXXX 
0.4454997E-01 4 XXXX 
0.5444996E-01 6 XXXXXX 
0.6434996E-01 5 XXXXX 
0.7424995E-01 5 XXXXX 
0.8414995E-01 5 XXXXX 
0.9404995E-01 4 XXXX 
0.1039499 5 XXXXX 
0.1138499 5 XXXXX 
0.1237499 5 XXXXX 
0.1336499 5 XXXXX 
0.1435499 5 XXXXX 
0.1534499 5 XXXXX 
0.1633499 5 XXXXX 
0.1732499 5 XXXXX 
0.1831499 5 XXXXX 
0.1930499 5 XXXXX 
0.2029499 1 X 
0 100 
ANL-NBS-HS-000027 REV 01 Attachment III-32 October 2003 

Analysis of Infiltration Uncertainty U0095 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.2967655E-03 0.1992379 0.1989412 0.9998050E-01 0.1001890 0.3331727E-02 
1 TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0 HISTOGRAM FOR VARIABLE NO. 12 UNIFORM DISTRIBUTION 
MIDPOINT FREQ. 
0.7424996 
0.8414995 
0.9404994 
1.039499 
1.138499 
1.237499 
1.336499 
1.435499 
1.534499 
1.633499 
1.732499 
1.831499 
1.930499 
2.029499 
2.128499 
2.227499 
1 
X 
5 XXXXX 
5 XXXXX 
5 XXXXX 
4 XXXX 
5 XXXXX 
5 XXXXX 
5 XXXXX 
5 XXXXX 
5 XXXXX 
5 XXXXX 
6 XXXXXX 
4 XXXX 
5 XXXXX 
5 XXXXX 
5 XXXXX 
ANL-NBS-HS-000027 REV 01 Attachment III-33 October 2003 

Analysis of Infiltration Uncertainty U0095 
2.326499 
2.425499 
2.524499 
2.623499 
2.722499 
0 
5 XXXXX 
5 XXXXX 
4 XXXX 
6 XXXXXX 
5 XXXXX 
100 
MIN MAX RANGE MEAN MEDIAN VARIANCE 
0.7897703 2.771902 1.982131 1.780235 1.782253 0.3336386 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0CORRELATIONS AMONG INPUT VARIABLES CREATED BY THE LATIN HYPERCUBE SAMPLE FOR RAW DATA PAGE 
1 
0 1 1.0000 
0 2 -0.0121 1.0000 
0 3 -0.0050 -0.0121 1.0000 
0 4 0.0042 0.0105 -0.0103 1.0000 
0 5 -0.0007 0.0074 -0.0030 -0.0016 1.0000 
0 6 -0.0101 0.0555 0.0140 -0.0395 -0.0271 1.0000 
0 7 -0.0993 -0.1102 0.0319 -0.0290 -0.0889 0.0015 1.0000 
0 8 0.0002 -0.0006 0.0086 0.0084 0.0029 0.0054 0.0018 1.0000 
0 9 0.0065 -0.0072 0.0075 0.0022 0.0071 -0.0458 -0.0680 0.0153 1.0000 
0 10 0.0035 0.0043 -0.0063 0.0062 -0.0101 0.0294 -0.0139 0.0108 0.0018 1.0000 
0 11 0.0468 -0.0164 -0.0226 0.0110 -0.0057 0.0771 0.0207 -0.0168 0.0142 -0.0431 1.0000 
ANL-NBS-HS-000027 REV 01 Attachment III-34 October 2003 

Analysis of Infiltration Uncertainty U0095 
0 12 0.0099 -0.0099 0.0160 -0.0309 -0.0194 0.0053 0.0172 -0.0093 -0.0153 0.0117 0.0086 1.0000 
0 1 2 3 4 5 6 7 8 9 10 11 12 
0VARIABLES 
0THE VARIANCE INFLATION FACTOR FOR THIS MATRIX IS 1.04 
1TITLE SDB Name = PARAMETERS.SDB , Ver = 1 08/22/03 16:27:48 
0CORRELATIONS AMONG INPUT VARIABLES CREATED BY THE LATIN HYPERCUBE SAMPLE FOR RANK DATA PAGE 
1 
0 1 1.0000 
0 2 -0.0177 1.0000 
0 3 -0.0097 0.0432 1.0000 
0 4 0.0330 0.0041 -0.0076 1.0000 
0 5 -0.0011 -0.0263 0.0272 0.0109 1.0000 
0 6 0.0056 -0.0069 0.0359 0.0131 0.0276 1.0000 
0 7 -0.0394 0.0051 0.0212 -0.0045 0.0126 0.0008 1.0000 
0 8 -0.0325 0.0420 -0.0150 -0.0459 -0.0076 0.0227 -0.0610 1.0000 
0 9 -0.0032 -0.0268 -0.0115 0.0025 -0.0192 0.0083 0.0021 0.0513 1.0000 
0 10 0.0442 0.0529 0.0334 -0.0153 0.0084 -0.0095 0.0338 -0.0228 -0.0400 1.0000 
0 11 0.0246 -0.0147 -0.0378 -0.0008 -0.0045 0.0242 0.0031 -0.0322 0.0200 -0.0386 1.0000 
0 12 0.0117 0.0168 0.0022 -0.0239 -0.0349 0.0010 0.0088 0.0132 -0.0117 0.0038 0.0082 1.0000 
0 1 2 3 4 5 6 7 8 9 10 11 12 
0VARIABLES 
0THE VARIANCE INFLATION FACTOR FOR THIS MATRIX IS 1.01 
Note: The correlations in LHS are controlled using a method proposed by Iman and Conover: A discussion of this method 
can be found in Sensitivity Analysis Techniques and Results for Performance Assessment at the Waste Isolation Pilot 
Plant (Helton et al. 1991 [127858]). 
ANL-NBS-HS-000027 REV 01 Attachment III-35 October 2003 

Analysis of Infiltration Uncertainty U0095 
INTENTIONALLY LEFT BLANK 
ANL-NBS-HS-000027 REV 01 Attachment III-36 October 2003 

Analysis of Infiltration Uncertainty U0095 
ATTACHMENT IV 
Annual Average Net Infiltration Using Various Approximations of the Repository 
Footprint (Output-DTN: SN0309T0503100.010) 
This attachment contains descriptions of the calculations of the average net infiltration for the 
exact and simulated approximations to the repository footprint. These calculations require that 
the infiltration maps correspond to the lower, mean, and upper analog glacial transition climates 
in DTN: GS000308311221.005 [147613]. 
ANL-NSB-HS-000027 REV 01 IV-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
Average annual net infiltration was calculated for various approximations of the repository 
footprint for lower, mean, and upper glacial transition climates. Modeling results for the three 
glacial transition climates for an area that overlaps the repository footprint was downloaded from 
the TDMS (DTN: GS000308311221.005 [147613]; Net Infiltration Modeling Results for 3 
Climate Scenarios FY99; Submittal date: 03/01/2000). The coordinates of the repository drifts 
were taken from two documents (BSC 2003 [162289] and BSC 2003 [161727]). All coordinates 
were converted to northing and easting (meters, UTM). 
Five methods were used to represent the repository footprint: 
1) Exact Footprint: the outer drift end-point coordinates were used to represent the exact 
repository footprint and lines were drawn between the outer drift end-point coordinate 
values. All grid locations that were located outside of the footprint defined by the 
outer drift coordinates were deleted. This footprint is shown in Figure IV-1. The data 
files with these data (northing, easting, average annual net infiltration rate (mm/yr) are 
titled exact_glacialL, exact_glacialM, and exact_glacialU for lower, mean, and upper 
glacial transition climates, respectively. 
2) Exact Footprint w/o contingency area: Same as 1), but without the contingency area 
defined in BSC 2003 [162289] and [161727]. This footprint is shown in Figure IV-1. 
The data files with these data (northing, easting, average annual net infiltration rate 
(mm/yr) are titled exact_noCA_glacialL, exact_noCA_glacialM, and 
exact_noCA_glacialU for lower, mean, and upper glacial transition climates, 
respectively. 
3) Single Rectangle: one rectangular box was used to represent the repository footprint. 
All grid locations that were located outside of the footprint defined by the rectangle 
were deleted. This footprint is shown in Figure 1-1 and Figure IV-1. The data files 
with these data (northing, easting, average annual net infiltration rate (mm/yr) are 
titled 1box_glacialL, 1box_glacialM, and 1box_glacialU for lower, mean, and upper 
glacial transition climates, respectively. The coordinates for this box were taken from 
Analysis of Infiltration Uncertainty (CRWMS M&O 2000 [143244]) and they are as 
follows: 
Easting Northing 
547350 4081200 
548690 4081200 
548690 4076700 
547350 4076700 
4) Four Rectangles: four rectangular boxes were used to represent the repository 
footprint, including the contingency area. All grid locations that were located outside 
of the footprint defined by the four rectangles were deleted. This footprint is shown in 
Figure IV-2. The data files with these data (northing, easting, average annual net 
infiltration rate (mm/yr) are titled 4boxes_glacialL, 4boxes_glacialM, and 
4boxes_glacialU for lower, mean, and upper glacial transition climates, respectively. 
ANL-NSB-HS-000027 REV 01 IV-2 October 2003 

Analysis of Infiltration Uncertainty U0095 
This is the method that was used to do the uncertainty calculations in this Scientific 
Analysis Report. The coordinates for these boxes are as follows: 
Box 1 Box 1 Box 2 Box 2 Box 3 Box 3 Box 4 Box 4 
Easting Northing Easting Northing Easting Northing Easting Northing 
547350 4081200 547350 4080228 547350 4079490 547750 4078400 
548900 4081200 549200 4080228 548550 4079490 548550 4078400 
548900 4080228 549200 4079490 548550 4078400 548550 4076100 
547350 4080228 547350 4079490 547350 4078400 547750 4076100 
5) Four Rectangles w/o Contingency Area: Same as 4), but without the contingency 
area defined in BSC 2003 [162289] and [161727]. This footprint is shown in Figure 
IV-2. The data files with these data (northing, easting, average annual net infiltration 
rate (mm/yr) are titled 4boxes_noCA_glacialL, 4boxes_noCA_glacialM, and 
4boxes_noCA_glacialU for lower, mean, and upper glacial transition climates, 
respectively. The coordinates for these boxes are as follows (these rectangular regions 
and how they compare with the exact footprint are illustrated in Figure IV-2): 
Box 1 Box 1 Box 2 Box 2 Box 3 Box 3 Box 4 Box 4 
Easting Northing Easting Northing Easting Northing Easting Northing 
547350 4081200 547350 4080228 547350 4079490 547750 4078400 
548900 4081200 549200 4080228 548550 4079490 548550 4078400 
548900 4080228 549200 4079490 548550 4078400 548550 4077000 
547350 4080228 547350 4079490 547350 4078400 547750 4077000 
The average annual net infiltration values (in mm/yr) using these four approximations of the 
repository footprint for the Lower, Mean, and Upper Glacial Transition Climates are as follows, 
based on the infiltration maps provide in DTN: GS000308311221.005 [147613]: 
Table IV-1 Comparisons of the Spatial Averages for Net Infiltration over the Four-Rectangle Region and 
the Exact Footprint 
Repository Footprint 
Glacial Transition Climate 
Lower Mean Upper 
Approximation Method (mm/year) (mm/year) (mm/year) 
Exact Footprint 1.81 17.63 33.44 
Exact Footprint w/o Contingency Area 1.92 18.57 35.23 
Single Rectangle 2.54 21.02 39.51 
4 Rectangles 1.78 17.35 32.93 
4 Rectangles w/o Contingency Area 1.93 18.64 35.34 
It is important to note that the actual simulated domain used in the realizations developed in the 
uncertainty analysis do not fully cover the actual repository footprint. The simulated domain, as 
ANL-NSB-HS-000027 REV 01 IV-3 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NSB-HS-000027 REV 01 IV-4 October 2003 
actually covered by the watersheds, omits a small area within the approximation of the repository 
footprint using 4 rectangles. A comparison of the model domain, and the actual repository 
footprint, and the approximations of the repository footprint using rectangles is shown in Figure 
IV-3. 
4076000407700040780004079000408000040810004082000547000548000549000550000551000Easting (m, UTM)
Northing (m, UTM)
Contingency Area2003 Design Footprint . 
Perimeter2003 Design Drift Ends 
Infiltration Numerical . 
Model Grid Contingency. 
Area 
Infiltration Numerical . 
Model Grid Without. 
Contingency Area2000 Infiltration Uncertainty . 
Analysis Footprint 
NOTE: Refer to BSC 2003 [162289] for Design Footprint Perimeter and BSC 2003 [161727] for Design Drift Ends. 
The Numerical Model Grid depicted here is a portion of the numerical grid used by the USGS for the 
infiltration calculations zone in ANL-NBS-HS-000032 REV00 ICN02 (USGS 2001 [160355]). 
Refer to CRWMS M&O 2000 [143244]) for 2000 Infiltration Uncertainty Analysis Footprint. 
Figure IV-1. Exact Repository Footprint With Drift End Points, With and Without Contingency Area, and 
the Approximated Footprint Using One Rectangle 

Analysis of Infiltration Uncertainty U0095 
Box 1 
Box 3 
2003 Design Footprint . 
Perimeter 
2003 Design Drift Ends 
Box 2 
Box 4 
4076000 
4077000 
4078000 
4079000 
4080000 
4081000 
4082000 
Northing (m, UTM)
Contingency Area 
547000 548000 549000 550000 551000
Easting (m, UTM)
NOTE: Refer to BSC 2003 [162289] for Design Footprint Perimeter and BSC 2003 [161727] for Design Drift Ends. 
Figure IV-2. Exact Repository Footprint With Drift End Points and Approximated Footprint Using Four 
Rectangles, With and Without Contingency Area. 
ANL-NSB-HS-000027 REV 01 IV-5 October 2003 

Analysis of Infiltration Uncertainty U0095 
ANL-NSB-HS-000027 REV 01 IV-6 October 2003 
4076000407700040780004079000408000040810004082000547000548000549000550000551000Easting (m, UTM)
Northing (m, UTM)
CW1DH3DH4SE10SE7SE8SE9SW1US1WT2WW1lRectanges2000 Infiltration Uncertainty . 
Analysis Footprint2003 Design Footprint. 
Perimeter2003 Design Drift EndsWatershed Symbolic Identifier(see Table 4-3) 
NOTE: The area used in the uncertainty calculations done in this report is within the watershed area as bounded by 
the four boxes. 
Refer to BSC 2003 [162289] for Design Footprint Perimeter and BSC 2003 [161727] for Design Drift Ends. 
Refer to CRWMS M&O 2000 [143244] for Infiltration Uncertainty Analysis Footprint. 
The Numerical Model Grid depicted here is a portion of the numerical grid used by the USGS for the 
infiltration calculations zone in ANL-NBS-HS-000032 REV00 ICN02 (USGS 2001 [160355]). 
Figure IV-3. Map of Watersheds with Respect to the Exact Repository Footprint With Drift End Points 
and Approximated Footprint Using Four Rectangles, With Contingency Area. 

Analysis of Infiltration Uncertainty U0095 
ATTACHMENT V 
Annual Average Net Infiltration Deterministic Calculation Using Tule Lake Climate Data 
ANL-NBS-HS-000027 REV 01 V-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table V-1. Input Control File for INFIL V. A_2.a1  There are eleven of these, one for each watershed 
(The code INFIL V. A_2.a1 must be run eleven separate times, once for each ofthe watersheds) 
INFIL2a1.ctl: T1 test Wash, Tule Lake, us1-2a1-gm1-k2-w20 (11/18/1999)
1 0.00000001 IROUT(1 = coupled, 0 = uncoupled, -1 = flow routing off, -2 = infil off),
IFRTOL 
2 2 1.78 ISNOW, ISNWMOD, SNOPAR1
3 0.1 0.3 ISUBLIM, SUBPAR1, SUBPAR2
0 1. IPPTTEST (1 for testing), PPTTEST = constant
0 .0 IETTEST (1 for testing), ETTEST = constant
30.0 CELSIZE (node spacing (meters): using for flow volume calculations)
544721.0 4072203.0 xcfs,ycfs: coords for discharge cell1950 1 1996 366 1 5 yr1 = start year, dnn1 = start day, yr2 = end year, dn2 = end day1 1 1 1 multipliers ( pptfact, etfact, imbfact, sksfact)
1.0 0 0.4 SDFACT (soil depth multiplier), IVEGC (set to 1 for map data), FVEGC (use ifIVEGC = 0)
1.0 0.8 0.8 0.2 ROOTF1,ROOTF2,ROOTF3,ROOTF4
1.0 1.0 0.5 0.1 MAXWGT1, MAXWGT2, MAXWGT3, MAXWGT4
0.3 2.0 3.0 2.0 RDEPTH1,RDEPTH2,RDEPTH3,RDEPTH4,RDEPTHF
0.02 1.0 .25 RKPOR, RKMMFACT, FLAREA1 1 0 INFMOD, ETMOD, RUNMOD
-10.0 1.04 BARSOIL1, BARSOIL2: bare soil et parameters3 17.3 11.74 IAIRTEMP = 1 for new air temp model, ATEMP1 = avg. air temp, ATEMP2 = air tempseasonal deviation 
2 HSTEP: time step for PET model (hours)
5 181 3 PPTYUC (=5 diminished elev. correlation, =2 for 4JA , =1 for simple elevationtransfer), AAPREPX, IPPTDATTulelake.inp input file name: daily precip
0 1 0.5 1 1 dpthflag, irtz, delvwcf, moistcr, fracmod
0 1.75 IVWCFLG, vwcfact 
us1.w20 input file name: map parameters (*.inp)
-1 
us1-gm1.2a1 dayall: average daily mass balance terms1 1 ndaymap, imap70 1995 
us1-gm1.2a2us1-gm1.2a3 output file name: daily mass balanceus1-gm1.2a4 output file name: total daily fluxes1 1 dbgflag, dbgflag2us1-gm1.2a5 output file name: annual mass balance terms 
0 IDEBUG: debugging option parameterus1-gm1.2a6 new debug fileus1-gm1 map output: annual totals or mult-year averages 
--------------- Parameters for dynamic root-zone function --------------------------------------
--depth rtza rtzb rtzc rtzd bsoil delvwc 
--m 
4 
1 0.5 15 3 3 2 0.30 0.50 
2 1.5 15 4 2 2 0.20 0.50 
3 4.5 10 1.5 1 2 0.10 0.50 
4 6.0 10 1.5 1 2 0.05 0.25 
--------------- Soil Properties (Brooks & Corey/van Genuchten combined) ----------------------------------------
fdcp etresidpor beta alpah ksat PE B n vg-alpha sorp SOILP potis--Kg s /m^3J/Kg 1/(J/Kg) ??? J/Kg
10 
1 0.242 0.054 0.366 -3.5 1.26 5.6E-04 -1.19E+00 4.72 1.24 5.2E-01 0.390 0.05 -1.0E+02 
2 0.173 0.023 0.315 -3.5 1.26 1.2E-03 -9.41E-01 3.70 1.31 6.2E-01 0.500 0.05 -1.0E+02 
3 0.163 0.017 0.325 -3.5 1.26 1.3E-03 -8.60E-01 3.36 1.36 6.6E-01 0.510 0.05 -1.0E+02 
4 0.073 0.002 0.281 -3.5 1.26 3.8E-03 -6.22E-01 2.18 1.62 8.7E-01 0.700 0.05 -1.0E+02 
5 0.200 0.035 0.330 -3.5 1.26 6.7E-04 -1.07E+00 4.14 1.78 5.6E-01 0.400 0.05 -1.0E+02 
6 0.150 0.011 0.339 -3.5 1.26 2.7E-03 -7.55E-01 3.06 1.40 7.4E-01 0.700 0.05 -1.0E+02 
7 0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
8 0.234 0.046 0.370 -3.5 1.26 5.6E-04 -1.10E+00 4.43 1.26 5.5E-01 0.390 0.05 -1.0E+02 
9 0.189 0.028 0.322 -3.5 1.26 5.7E-04 -1.08E+00 3.88 1.30 5.5E-01 0.370 0.05 -1.0E+02 
10 0.189 0.028 0.322 -3.5 1.26 5.7E-05 -1.08E+00 3.88 1.00 5.5E-01 0.037 0.05 -1.0E+02 
---------------Rockl Properties (Brooks & Corey/van Genuchten combined)----------------------------------------
--rkcp etresidpor beta alpha ksat PE B n vg-alpha fracks imbibe potir--Kg s /m^3J/Kg 1/(J/Kg) Kg s /m^3mm/dy J/Kg129 
ANL-NBS-HS-000027 REV 01 V-2 October 2003 

Analysis of Infiltration Uncertainty U0095 
0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 0.52 0.00056 500 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.06 -100 
0.388 0.039 0.393 -1.5 1.26 0.000053 -242 4.57 1.38 2400 0.000053 2.74 -100 
0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
0.248 0.01 0.253 -1.5 1.26 3.8E-06 -82.3 2.71 1.84 830 3.9E-06 3.34 -100 
0.159 0.01 0.164 -1.5 1.26 1.2E-06 -140 3.61 1.53 1400 1.3E-06 1.13 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
0.494 0.05 0.499 -1.5 1.26 0.000088 -4000 3.78 1.49 40000 0.000088 75.62 -100 
0.494 0.05 0.499 -1.5 1.26 0.000088 -341 4.19 1.43 3400 0.000088 75.62 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
0.485 0.05 0.49 -1.5 1.26 0.00042 -5260 5.86 1.28 53000 0.00042 276.49 -100 
0.485 0.05 0.49 -1.5 1.26 0.00042 -5260 5.86 1.28 53000 0.00042 276.49 -100 
0.077 0.011 0.082 -1.5 1.26 5.4E-09 -26.9 5.6 1.29 270 2.1E-07 0.09 -100 
0.043 0.002 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
99 0.043 0.002 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.25 -100 
46 0.151 0.007 0.156 -1.5 1.26 1.7E-07 -377 2.11 2.4 3800 2.8E-07 0.20 -100 
47 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
48 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
49 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
50 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
51 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
52 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
53 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
54 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
55 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
56 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
57 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
58 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
59 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
60 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.09 -100 
61 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.09 -100 
62 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.07 -100 
63 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.07 -100 
64 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.07 -100 
65 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.07 -100 
66 0.089 0.03 0.094 -1.5 1.26 7.5E-09 -1.8 2.31 2.14 22 2.5E-07 0.14 -100 
67 0.031 0.018 0.036 -1.5 1.26 5.0E-09 -0.6 3.39 1.58 10 2.4E-07 0.17 -100 
68 0.168 0.021 0.173 -1.5 1.26 7.3E-08 -125 5.36 1.31 1300 1.3E-07 0.07 -100 
69 0.327 0.066 0.332 -1.5 1.26 4.5E-09 -39 5.66 1.29 390 6.6E-08 0.02 -100 
70 0.089 0.03 0.094 -1.5 1.26 7.5E-09 -1.8 2.31 2.14 22 2.5E-07 0.14 -100 
71 0.327 0.066 0.332 -1.5 1.26 4.5E-09 -39 5.66 1.29 390 6.6E-08 0.01 -100 
72 0.317 0.023 0.322 -1.5 1.26 3.8E-08 -181 4.01 1.46 1800 9.9E-08 1.65 -100 
73 0.232 0.024 0.237 -1.5 1.26 3.8E-07 -6.8 3.31 1.6 72 4.4E-07 0.05 -100 
74 0.232 0.024 0.237 -1.5 1.26 3.8E-07 -6.8 3.31 1.6 72 4.4E-07 0.05 -100 
75 0.281 0.051 0.286 -1.5 1.26 1.7E-08 -17.5 4.01 1.45 180 7.8E-08 0.02 -100 
76 0.112 0.011 0.117 -1.5 1.26 4.1E-08 -3.2 3.07 1.68 36 1.0E-07 0.09 -100 
77 0.043 0.002 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.25 -100 
201 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
202 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.06 -100 
ANL-NBS-HS-000027 REV 01 V-3 October 2003 

Analysis of Infiltration Uncertainty U0095 
203 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
204 0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 120 1.4E-07 500 -100 
205 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
206 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.41 -100 
207 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
208 0.089 0.03 0.094 -1.5 1.26 7.5E-09 -1.8 2.31 2.14 22 2.5E-07 0.14 -100 
209 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
210 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.09 -100 
211 0.112 0.011 0.117 -1.5 1.26 4.1E-08 -3.2 3.07 1.68 36 1.0E-07 0.09 -100 
212 0 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.09 -100 
213 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
214 0.232 0.024 0.237 -1.5 1.26 3.8E-07 -6.8 3.31 1.6 72 4.4E-07 0.05 -100 
301 0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 0.52 0.00056 500 -100 
302 0.35 0.065 0.366 -1.5 1.26 0.0011 -0.93 3.6 1.25 0.52 0.00056 500 -100 
303 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
304 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
305 0.388 0.039 0.393 -1.5 1.26 0.000053 -242 4.57 1.38 2400 0.000053 2.74 -100 
306 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
307 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
308 0.401 0.07 0.406 -1.5 1.26 0.000052 -4150 6.78 1.23 42000 0.000052 46.66 -100 
309 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
310 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
311 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
312 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
313 0.248 0.01 0.253 -1.5 1.26 3.8E-06 -82.3 2.71 1.84 830 3.9E-06 3.34 -100 
314 0.248 0.01 0.253 -1.5 1.26 3.8E-06 -82.3 2.71 1.84 830 3.9E-06 3.34 -100 
315 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
316 0.159 0.01 0.164 -1.5 1.26 1.2E-06 -140 3.61 1.53 1400 1.3E-06 1.13 -100 
317 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
318 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
319 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
320 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
321 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
322 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
323 0.388 0.039 0.393 -1.5 1.26 0.000053 -242 4.57 1.38 2400 0.000053 2.74 -100 
324 0.43 0.044 0.435 -1.5 1.26 0.0004 -1790 6.81 1.23 18000 0.0004 13.83 -100 
325 0.494 0.05 0.499 -1.5 1.26 0.000088 -4000 3.78 1.49 40000 0.000088 75.62 -100 
326 0.077 0.011 0.082 -1.5 1.26 5.4E-09 -12 3.04 1.69 120 1.4E-07 0.06 -100 
327 0.485 0.05 0.49 -1.5 1.26 0.00042 -5260 5.86 1.28 53000 0.00042 276.49 -100 
328 0.151 0.007 0.156 -1.5 1.26 1.7E-07 -377 2.11 2.4 3800 2.8E-07 0.20 -100 
329 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
330 0.043 0.005 0.048 -1.5 1.26 1.6E-07 -88.1 6.43 1.25 890 3.7E-07 0.35 -100 
331 0.151 0.007 0.156 -1.5 1.26 1.7E-07 -377 2.11 2.4 3800 2.8E-07 0.20 -100 
332 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
333 0.149 0.01 0.154 -1.5 1.26 2.0E-08 -65.3 5.09 1.33 660 1.2E-07 0.05 -100 
334 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
335 0.105 0.02 0.11 -1.5 1.26 4.0E-09 -6 3.92 1.47 64 2.4E-07 0.09 -100 
336 0.125 0.01 0.13 -1.5 1.26 2.3E-08 -26.9 5.6 1.29 270 2.2E-07 0.09 -100 
345 0.097 0.01 0.102 -1.5 1.26 1.3E-07 -154.6 5.02 1.56 1560 2.9E-07 0.24 -100
Additional input files for INFIL V. A_2.a1 include the Tule Lake climate input file 
Tulelake.inp, DTN: GS000308311221.010 [147602], (see Table 4-2) and the Watershed Data 
Files DTN: GS000308311221.004 [146853] (see Table 4-3). 
ANL-NBS-HS-000027 REV 01 V-4 October 2003

Analysis of Infiltration Uncertainty U0095 
Table V-2. Output File from Running INFIL V. A_2.a1 Using the Input Control File in Table V-1. 
easting northing precip rain snow-fall snow-cover snow-melt sublimation evapotrans runinfil 
del-soil net-infil runoff run-on mass-balance max-balance mass-balance #2 
547661.0 4078143.0 304.01522 226.52299 77.49223 1302.59009 67.38841 9.26259 263.32949 
0.00000 1.85583 28.08674 0.63935 0.000000 -0.1278977E-12 -0.6755707E-13 -0.2842171E-13 
547661.0 4078203.0 303.91343 226.44715 77.46628 1296.97849 67.32266 9.30349 265.68519 
0.00000 1.83213 25.77829 0.47420 0.000000 0.5684342E-13 -0.4952982E-13 -0.1421085E-13 
547661.0 4078173.0 303.91343 226.44715 77.46628 1298.30510 67.39638 9.22950 263.30361 
0.00000 1.85562 28.02994 0.65435 0.000000 -0.2842171E-13 -0.5961898E-13 -0.1421085E-13 
547661.0 4078383.0 303.81181 226.37144 77.44038 1295.49959 67.49510 9.10541 260.61200 
0.00000 1.88052 30.59610 0.77792 0.000000 -0.2700062E-12 -0.4179990E-13 0.000000 
547661.0 4078233.0 303.81181 226.37144 77.44038 1290.86705 67.23996 9.36153 264.14734 
0.00000 1.83217 26.98083 0.65106 0.000000 0.1421085E-13 -0.5717649E-13 0.000000 
547661.0 4078413.0 303.71027 226.29577 77.41449 1295.14841 67.73032 8.84433 254.51339 
0.00000 1.94099 36.53665 1.03507 0.000000 0.5968559E-12 -0.5095924E-13 0.5400125E-12 
547661.0 4078353.0 303.71027 226.29577 77.41449 1286.54120 67.25837 9.31810 264.17665 
0.00000 1.83088 26.89263 0.65399 0.000000 0.2984279E-12 -0.5329071E-13 0.5400125E-12 
547661.0 4078443.0 303.60869 226.22009 77.38860 1295.14021 67.98307 8.56564 247.64603 
0.00000 2.00652 43.22886 1.32174 0.000000 -0.6963319E-12 -0.4385381E-13 -0.5968559E-12 
547661.0 4078323.0 303.60869 226.22009 77.38860 1296.90595 68.08033 8.46804 259.79965 
0.00000 1.94562 31.83990 0.71524 0.000000 -0.7531753E-12 -0.4507505E-13 -0.5968559E-12 
547661.0 4078263.0 303.60869 226.22009 77.38860 1308.88058 68.76929 7.77661 254.80001 
0.00000 2.04700 37.36647 0.77590 0.000000 -0.5968559E-12 -0.5126455E-13 -0.5968559E-12 
547661.0 4078293.0 303.50728 226.14453 77.36275 1299.10130 68.45735 8.06467 254.12461 
0.00000 2.01867 37.57736 0.88123 0.000000 -0.3694822E-12 -0.6222800E-13 0.7105427E-12 
547631.0 4078443.0 303.40591 226.06900 77.33692 1296.05981 68.54581 7.95097 253.73436 
0.00000 2.02774 37.94976 0.90295 0.000000 0.8526513E-13 -0.5989653E-13 -0.7247536E-12 
547631.0 4078413.0 303.30454 225.99346 77.31108 1286.77768 68.27101 8.20185 248.89155 
0.03603 2.02918 42.16399 1.21578 1.285716 -0.6252776E-12 -0.3996803E-13 -0.6110668E-12 
547631.0 4078383.0 303.10215 225.84266 77.25949 1272.59840 67.98576 8.43853 238.78276 
0.03720 2.12742 51.37157 1.58387 0.9978709 0.2415845E-12 -0.6417089E-13 0.5542233E-12 
547631.0 4078173.0 303.10215 225.84266 77.25949 1283.22938 68.59022 7.83180 249.65341 
0.00000 2.52061 1.60791 40.65094 0.6393480 -0.5258016E-12 -0.4493628E-13 0.5542233E-12 
547631.0 4078203.0 303.00095 225.76726 77.23369 1281.15187 68.72581 7.67081 249.02796 
0.00000 2.53581 1.62676 41.30253 0.6543543 -0.1136868E-11 -0.4418688E-13 0.6963319E-12 
547631.0 4078353.0 302.69799 225.54152 77.15647 1254.89323 67.91946 8.40555 253.56744 
0.00000 2.41831 1.46271 36.01251 0.7779184 -0.1350031E-11 -0.4528322E-13 -0.6110668E-12 
547631.0 4078233.0 302.69799 225.54152 77.15647 1272.35931 68.96159 7.35958 240.52070 
0.00000 2.53827 1.88877 49.55537 0.4742009 -0.1506351E-11 -0.4463097E-13 -0.6110668E-12 
547631.0 4078323.0 302.49637 225.39129 77.10508 1250.62803 68.14121 8.13327 248.93372 
0.00000 2.43656 1.54081 40.62141 0.6539860 -0.1136868E-11 -0.5073719E-13 0.6252776E-12 
547631.0 4078293.0 302.39559 225.31620 77.07939 1251.50617 68.43539 7.81316 243.61107 
0.00000 2.45811 1.70765 45.97476 0.7152425 -0.1293188E-11 -0.4796163E-13 -0.6110668E-12 
547631.0 4078263.0 302.39559 225.31620 77.07939 1257.27475 68.78234 7.46493 241.57169 
0.00000 2.51306 1.83615 48.17763 2.308194 -0.1350031E-11 -0.5195844E-13 -0.6110668E-12 
547601.0 4078413.0 302.09378 228.15092 73.94286 1197.68037 65.10841 8.00732 218.39352 
0.00000 2.35480 56.29036 16.22066 0.9029453 -0.3979039E-12 -0.4524159E-13 0.1421085E-13 
547601.0 4078383.0 301.69228 227.84769 73.84459 1177.33383 64.85753 8.16436 216.33954 
0.04794 2.30995 55.99055 18.11313 2.453554 0.2700062E-12 -0.2742251E-13 0.5400125E-12 
547601.0 4078203.0 301.29186 227.54528 73.74658 1178.97197 65.90673 7.01628 198.89746 
7.27257 2.40478 68.30218 31.12016 34.01772 -0.3552714E-12 -0.2775558E-13 0.2842171E-13 
547601.0 4078353.0 301.19182 227.46973 73.72209 1157.02969 64.81397 8.08988 214.82332 
0.04816 2.29794 55.99795 19.21265 2.533579 -0.2415845E-12 -0.2747802E-13 0.000000 
547601.0 4078233.0 300.99215 227.31893 73.67322 1171.17582 66.15160 6.69986 201.92721 
8.05949 2.44520 69.14303 28.01459 33.89739 0.2842171E-12 -0.3422262E-13 0.5400125E-12 
547601.0 4078323.0 300.79269 227.16829 73.62440 1148.33517 65.20082 7.60694 208.97186 
7.05361 2.33692 62.51371 25.60023 29.73682 -0.4405365E-12 -0.3463896E-13 0.1421085E-13 
547601.0 4078293.0 300.69307 227.09305 73.60001 1151.39492 65.61996 7.16273 205.96548 
7.71420 2.39848 65.26076 26.80250 33.56119 0.1989520E-12 -0.3547163E-13 0.5684342E-12 
547601.0 4078263.0 300.69307 227.09305 73.60001 1157.36736 65.99001 6.79133 204.17557 
14.97620 2.43934 69.46083 31.98352 132.2292 0.2842171E-13 -0.3375078E-13 0.5684342E-12 
547571.0 4078383.0 300.09661 226.65811 73.43850 1117.23648 64.88753 7.74144 213.03772 
0.28550 2.32147 57.26082 19.21113 16.83811 -0.1421085E-13 -0.3014256E-13 -0.6821210E-12 
547571.0 4078353.0 299.60132 226.28403 73.31729 1095.21651 64.65458 7.85845 234.60796 
0.16919 2.31869 1.79709 52.38405 20.39750 0.2273737E-12 -0.3341771E-13 0.5684342E-12 
547571.0 4078233.0 299.30492 226.06016 73.24476 1110.06979 66.21660 6.21936 220.06267 
0.28357 2.50450 2.30708 67.68608 64.85431 -0.4405365E-12 -0.3042011E-13 0.6110668E-12 
547571.0 4078323.0 299.00908 230.05910 68.94999 1019.09805 61.03672 7.11250 227.54007 
0.35213 2.35972 1.88406 59.66410 21.39410 0.2984279E-12 -0.3150258E-13 0.4689582E-12 
547571.0 4078263.0 299.00908 230.05910 68.94999 1039.02055 62.15475 5.98878 220.13927 
0.43519 2.52948 2.26708 67.71322 61.47679 0.2273737E-12 -0.2614575E-13 0.4689582E-12 
547571.0 4078293.0 298.91054 229.98328 68.92726 1029.13985 61.78799 6.33485 222.89630 
0.55572 2.45748 2.17272 64.80049 279.3578 -0.2415845E-12 -0.3286260E-13 -0.2842171E-13 
547541.0 4078353.0 298.22298 229.45427 68.76871 985.60676 60.58789 7.38812 236.00902 0.38463 
2.31838 1.67431 50.42508 35.66462 0.7105427E-14 -0.2842171E-13 0.000000 
ANL-NBS-HS-000027 REV 01 V-5 October 2003 

Analysis of Infiltration Uncertainty U0095 
547541.0 4078233.0 297.73369 229.07780 68.65589 988.08956 61.86935 5.99263 226.37074 0.00000 
2.50120 2.02563 60.04959 0.000000 -0.8455459E-12 -0.2620126E-13 -0.4831691E-12 
547541.0 4078323.0 297.44093 228.85255 68.58838 962.57934 60.85551 6.94615 233.28777 0.54871 
2.33965 1.74486 52.88448 72.23284 -0.2415845E-12 -0.2686740E-13 0.6536993E-12 
547541.0 4078263.0 297.44093 228.85255 68.58838 983.19100 62.13073 5.66421 224.61615 1.44794 
2.54261 2.16628 63.10619 131.0924 -0.2557954E-12 -0.3397282E-13 0.6536993E-12 
547541.0 4078293.0 297.14869 228.62770 68.52099 968.79853 61.77603 5.95548 227.68468 2.13700 
2.48395 1.98718 60.38493 552.2694 -0.2771117E-12 -0.3375078E-13 -0.1421085E-13 
547511.0 4078233.0 296.17874 231.95658 64.22216 865.96092 57.62956 5.81301 231.04734 0.00000 
2.46578 1.80303 54.26999 0.000000 -0.6323830E-12 -0.2486900E-13 -0.4547474E-12 
547511.0 4078323.0 296.08211 231.88091 64.20121 851.41238 56.86526 6.56082 237.05130 0.83670 
2.33849 1.61085 48.58223 85.25299 0.2842171E-13 -0.2625677E-13 -0.5968559E-12 
547511.0 4078263.0 295.88894 231.72962 64.15932 861.57599 57.94713 5.43329 233.27565 1.84810 
2.53424 1.83757 53.87739 58.20149 -0.8810730E-12 -0.3375078E-13 0.5826450E-12 
547511.0 4078293.0 295.59974 231.50313 64.09661 848.65413 57.63937 5.68100 241.86816 11.39561 
2.48060 1.60254 54.58681 920.5747 0.4050094E-12 -0.3455569E-13 0.5258016E-12 
547481.0 4078233.0 294.63967 230.79086 63.84881 813.71195 57.38828 5.69464 240.41318 0.00000 
2.46709 1.52960 43.76928 0.000000 -0.6963319E-12 -0.3458345E-13 -0.4618528E-12 
547481.0 4078263.0 294.54402 230.71594 63.82808 812.01784 57.46933 5.59325 245.08497 0.00000 
2.50396 1.47243 39.12391 0.000000 -0.9805490E-12 -0.4618528E-13 0.4831691E-12 
547481.0 4078203.0 294.54402 230.71594 63.82808 808.08339 57.19420 5.86970 241.86920 3.36078 
2.44161 1.48717 45.47293 50.90921 -0.2700062E-12 -0.3264056E-13 0.4831691E-12 
547481.0 4078293.0 294.35284 230.56619 63.78665 803.57943 57.28033 5.74330 254.18000 20.13646 
2.48767 1.38818 49.92713 1200.939 -0.1101341E-11 -0.4829470E-13 0.4831691E-12 
547451.0 4078263.0 293.30606 233.97305 59.33301 711.04844 53.08411 5.49539 249.64053 112.12236 
2.20962 128.65977 18.66960 1138.744 -0.1492140E-12 -0.5548340E-13 0.4476419E-12 
547451.0 4078233.0 293.21119 233.89737 59.31382 709.43224 53.13608 5.42478 226.44144 26.50132 
2.33136 79.97799 4.78398 12.62259 -0.9947598E-13 -0.2930989E-13 -0.1421085E-13 
547451.0 4078203.0 293.21119 233.89737 59.31382 711.09966 53.23634 5.32374 223.84020 29.19801 
2.33386 84.51074 5.64692 14.57126 -0.3197442E-12 -0.5018208E-13 -0.1421085E-13 
547451.0 4078173.0 293.11649 233.82183 59.29466 709.56055 53.30214 5.23930 220.26350 93.99172 
2.71104 158.14113 0.00000 2.390424 -0.7460699E-12 -0.2131628E-13 -0.4263256E-12 
547421.0 4078263.0 292.45505 233.29419 59.16086 689.60422 52.89555 5.51982 235.87326 0.00000 
2.77793 47.53854 0.00000 0.000000 -0.2131628E-13 -0.3341771E-13 -0.5329071E-12 
547421.0 4078233.0 292.26657 233.26781 58.99876 685.50200 52.81401 5.44088 236.64726 411.56640 
2.79267 458.20829 0.00000 745.8471 0.4263256E-12 0.4263256E-13 -0.5258016E-12 
547421.0 4078203.0 292.17246 233.19270 58.97977 684.14384 52.89479 5.34169 227.52415 17.33079 
2.84753 73.04659 0.00000 0.7578769E-01 0.3410605E-12 -0.3563816E-13 -0.5400125E-12 
547421.0 4078143.0 292.17246 233.19270 58.97977 688.85104 53.26038 4.97391 228.30248 0.00000 
2.85734 55.29325 0.00000 0.000000 -0.1136868E-12 -0.3852474E-13 -0.5400125E-12 
547421.0 4078173.0 292.07836 233.11758 58.96077 686.21073 53.21037 5.00599 225.70350 20.85492 
2.87251 78.60686 0.00000 1.753688 -0.4973799E-13 -0.3863576E-13 -0.5258016E-12 
547391.0 4078263.0 291.89045 232.96761 58.92284 676.13964 52.64910 5.53312 240.89646 0.00000 
2.73467 41.98558 0.00000 0.000000 -0.5684342E-13 -0.3724798E-13 -0.3552714E-13 
547391.0 4078233.0 291.60897 232.74295 58.86602 668.72725 52.53438 5.59409 241.47814 0.00000 
2.71872 41.08047 0.00000 0.000000 -0.3765876E-12 -0.4085621E-13 0.4831691E-12 
547391.0 4078203.0 291.42159 232.59340 58.82819 666.38907 52.70701 5.38495 240.58999 271.19568 
2.75090 313.15521 0.00000 474.6515 -0.7531753E-12 -0.3907985E-13 -0.3623768E-12 
547391.0 4078143.0 291.42159 232.59340 58.82819 673.29345 53.28392 4.80485 234.57852 0.00000 
2.81197 48.48683 0.00000 0.000000 -0.7105427E-12 0.3785861E-13 -0.3623768E-12 
547391.0 4078173.0 291.32796 232.51867 58.80929 667.21099 52.94643 5.12612 236.36971 1.82948 
2.79085 48.13400 0.00000 0.000000 -0.3410605E-12 -0.4263256E-13 0.4689582E-12 
547361.0 4078263.0 291.23446 232.44404 58.79042 662.64054 52.67547 5.37990 238.00238 0.00000 
2.76708 44.35005 0.00000 0.000000 -0.6394885E-13 0.3730349E-13 0.4831691E-12 
547361.0 4078233.0 291.04757 232.29488 58.75269 656.69771 52.47649 5.54354 239.13671 0.00000 
2.74069 42.89397 0.00000 0.000000 0.3979039E-12 -0.4007905E-13 0.4689582E-12 
547361.0 4078143.0 290.86100 232.14597 58.71503 659.44135 53.07206 4.90913 237.31756 0.00000 
2.80044 45.10004 0.00000 0.000000 -0.2771117E-12 -0.3580469E-13 0.4334311E-12 
547361.0 4078203.0 290.76771 232.07152 58.69620 650.31990 52.43488 5.53138 239.30021 0.00000 
2.73670 42.46949 0.00000 0.000000 0.1421085E-13 -0.4263256E-13 -0.2131628E-13 
547361.0 4078173.0 290.58150 231.92290 58.65861 651.02111 52.85349 5.07493 281.44196 34.04408 
2.18728 15.02118 20.17005 440.6074 -0.1733724E-11 -0.8124057E-13 -0.4263256E-13 
547331.0 4078293.0 290.39547 236.19060 54.20487 590.55524 48.49333 4.98330 267.09210 0.00000 
2.13711 10.83433 4.62039 0.000000 -0.2344791E-12 -0.6605827E-13 -0.2131628E-13 
547331.0 4078263.0 290.39547 236.19060 54.20487 590.03109 48.43626 5.04056 268.65885 0.00000 
2.10576 10.17154 3.69072 0.000000 -0.5968559E-12 -0.6472600E-13 -0.2131628E-13 
547331.0 4078233.0 290.39547 236.19060 54.20487 587.58147 48.21756 5.26050 269.81289 0.00000 
2.04289 9.22123 3.33114 0.000000 -0.5826450E-12 -0.7052692E-13 -0.2131628E-13 
547331.0 4078203.0 290.11687 235.96400 54.15287 580.51892 48.08476 5.34429 272.99840 0.00000 
2.08997 3.91551 5.04488 0.000000 -0.1705303E-12 -0.5401235E-13 0.4902745E-12 
547331.0 4078143.0 290.11687 235.96400 54.15287 588.46215 48.78634 4.63866 270.15769 0.00000 
2.28983 5.15477 7.14803 0.000000 -0.4334311E-12 -0.6300516E-13 0.4902745E-12 
547331.0 4078173.0 289.83882 235.73786 54.10097 579.55174 48.51123 4.86599 278.87324 24.22296 
2.22920 5.54772 21.82189 436.5545 -0.2557954E-12 -0.5757894E-13 0.4689582E-12 
547301.0 4078293.0 289.65375 235.58733 54.06642 575.06014 48.46460 4.88029 273.62265 0.00000 
2.19169 4.02464 4.21295 0.000000 -0.7247536E-12 -0.7799317E-13 0.4760636E-12 
547301.0 4078263.0 289.65375 235.58733 54.06642 574.90634 48.44237 4.90256 272.26990 0.42063 
2.17222 4.33387 5.67434 4.199760 -0.4192202E-12 -0.6145084E-13 0.4760636E-12 
547301.0 4078233.0 289.56134 235.51216 54.04917 570.67889 48.21615 5.11367 272.31463 0.24604 
2.10868 4.06910 5.48196 3.444672 -0.4263256E-13 -0.7494005E-13 -0.2131628E-13 
ANL-NBS-HS-000027 REV 01 V-6 October 2003

Analysis of Infiltration Uncertainty U0095 
547301.0 4078203.0 289.37660 235.36191 54.01469 565.75496 48.08717 5.21039 285.63145 3.33114 
1.14877 0.00000 0.00000 0.000000 0.6465939E-12 -0.8837375E-13 0.4192202E-12 
547301.0 4078143.0 289.37660 235.36191 54.01469 574.30822 48.87140 4.42151 268.36761 0.00000 
2.29980 5.31917 8.24672 0.000000 0.7318590E-12 -0.5401235E-13 0.4192202E-12 
547271.0 4078293.0 289.00792 235.06205 53.94587 561.80337 48.38747 4.84298 286.18381 0.00000 
-2.73429 0.00000 0.00000 0.000000 -0.5968559E-12 -0.9414691E-13 0.4689582E-12 
547271.0 4078263.0 289.00792 235.06205 53.94587 561.11085 48.32600 4.90486 286.94059 4.21295 
0.66041 0.00000 0.00000 0.000000 -0.1918465E-12 0.9148238E-13 0.4689582E-12 
547301.0 4078173.0 289.00792 235.06205 53.94587 563.72159 48.55004 4.67922 384.00588 117.70951 
4.75378 0.93313 11.62881 352.8598 -0.1968203E-11 -0.1563194E-12 0.4689582E-12 
547271.0 4078233.0 288.82391 234.91239 53.91153 556.41188 48.22601 4.97283 290.87662 9.87410 
2.12496 0.01091 0.00000 0.000000 0.7318590E-12 -0.9170442E-13 0.3481659E-12 
547271.0 4078113.0 288.82391 234.91239 53.91153 558.37896 48.39838 4.79913 274.05615 0.00000 
2.14631 0.64099 6.46733 0.000000 0.2415845E-12 -0.8593126E-13 0.3481659E-12 
547271.0 4078143.0 288.64020 234.76297 53.87723 559.50823 48.82118 4.34105 271.87891 0.00000 
2.27917 0.73244 8.69363 0.000000 -0.2060574E-12 -0.6394885E-13 -0.4760636E-12 
547271.0 4078203.0 288.54836 237.84650 50.70186 538.84523 45.00519 4.98672 289.95800 8.92663 
1.81487 0.00545 0.00000 0.000000 0.9237056E-13 0.1092459E-12 -0.4476419E-12 
547241.0 4078263.0 288.36500 237.69536 50.66964 537.04960 45.17546 4.78497 285.86985 0.00000 
-2.99902 0.00000 0.00000 0.000000 0.4973799E-13 0.9370282E-13 0.3552714E-13 
547271.0 4078173.0 288.27336 237.61982 50.65354 537.79545 45.40273 4.54076 443.15108 181.35579 
18.60780 0.70814 1.91132 191.3795 -0.3154810E-11 -0.5577760E-12 -0.3055334E-12 
547241.0 4078233.0 288.18182 237.54436 50.63745 532.16988 45.03849 4.89212 285.62542 0.00000 
-3.04256 0.00000 0.00000 0.000000 -0.1918465E-12 0.9992007E-13 0.4263256E-12 
547241.0 4078203.0 287.99887 237.39357 50.60531 528.23453 44.98377 4.91651 285.44853 0.00000 
-3.07119 0.00000 0.00000 0.000000 -0.1989520E-12 -0.8659740E-13 -0.1421085E-13 
547241.0 4078143.0 287.99887 237.39357 50.60531 533.93761 45.52211 4.37469 283.95968 0.00000 
-1.04400 0.00000 0.00000 0.000000 -0.3552714E-12 0.8859580E-13 -0.1421085E-13 
547241.0 4078113.0 287.99887 237.39357 50.60531 531.36957 45.27564 4.62266 283.67937 0.00000 
-1.01016 0.00000 0.00000 0.000000 0.1421085E-13 -0.8093526E-13 -0.1421085E-13 
547241.0 4078083.0 287.90752 237.31827 50.58926 529.63041 45.26934 4.61367 278.26756 1.83015 
2.16031 0.30315 3.68674 4.637182 -0.1065814E-12 -0.6306067E-13 0.4476419E-12 
547211.0 4078233.0 287.72493 237.16776 50.55717 523.85465 45.05218 4.80182 287.42872 0.00000 
-5.20878 0.00000 0.00000 0.000000 -0.1065814E-12 0.1416645E-12 0.7105427E-14 
547241.0 4078173.0 287.72493 237.16776 50.55717 526.20058 45.26342 4.58903 358.80069 88.82951 
12.44932 0.01069 0.00000 113.1549 -0.4760636E-12 0.4263256E-12 0.7105427E-14 
547211.0 4078203.0 287.54264 237.01750 50.52514 519.36613 44.95027 4.87386 287.20982 0.00000 
-5.24205 0.00000 0.00000 0.000000 0.3623768E-12 -0.1216804E-12 0.3410605E-12 
547211.0 4078113.0 287.45151 236.94238 50.50913 520.85343 45.25184 4.55518 283.55528 0.00000 
-1.36105 0.00000 0.00000 0.000000 -0.1634248E-12 0.1014744E-12 0.7105427E-14 
547211.0 4078173.0 287.36051 236.86737 50.49314 517.73864 45.10980 4.68280 287.17238 0.00000 
-5.19520 0.00000 0.00000 0.000000 -0.5400125E-12 -0.1402212E-12 0.4689582E-12 
547211.0 4078143.0 287.36051 236.86737 50.49314 519.53457 45.28034 4.51122 318.24359 35.50188 
-0.59399 0.00000 0.00000 77.65306 -0.4618528E-12 0.1623146E-12 0.4689582E-12 
547211.0 4078083.0 287.36051 236.86737 50.49314 520.10201 45.32660 4.46445 291.61606 8.32392 
-1.09817 0.00000 0.00000 0.000000 -0.4263256E-12 -0.1119105E-12 0.4689582E-12 
547181.0 4078203.0 287.17862 236.71744 50.46118 512.61907 44.94296 4.82024 286.89580 0.00000 
-5.23540 0.00000 0.00000 0.000000 -0.9947598E-13 0.1174616E-12 0.7105427E-14 
547181.0 4078083.0 287.08779 236.64258 50.44522 515.06154 45.32854 4.41700 282.00887 0.00000 
-0.03775 0.00000 0.00000 0.000000 -0.2557954E-12 -0.6838974E-13 0.4405365E-12 
547181.0 4078173.0 286.99697 236.56771 50.42926 509.74480 44.99224 4.74031 286.77671 0.00000 
-5.21676 0.00000 0.00000 0.000000 -0.7958079E-12 -0.1370015E-12 -0.3126388E-12 
547181.0 4078143.0 286.90627 236.49294 50.41332 508.95336 45.07778 4.63908 281.68459 0.00000 
-0.11387 0.00000 0.00000 0.000000 -0.4973799E-12 -0.8171241E-13 -0.2913225E-12 
547181.0 4078113.0 286.90627 236.49294 50.41332 511.03419 45.26326 4.45231 305.88045 22.52498 
-1.59926 0.00000 0.00000 55.12808 -0.9805490E-12 -0.1365574E-12 -0.2913225E-12 
547151.0 4078083.0 286.81562 236.41822 50.39739 509.37680 45.27593 4.42451 281.73098 0.00000 
-0.03682 0.00000 0.00000 0.000000 0.4476419E-12 -0.7682743E-13 0.2984279E-12 
547151.0 4078173.0 286.72497 236.34350 50.38146 504.62216 44.99457 4.69253 286.55572 0.00000 
-5.21765 0.00000 0.00000 0.000000 0.7105427E-13 -0.1614264E-12 -0.4263256E-12 
547151.0 4078143.0 286.63444 236.28371 50.35073 503.32060 45.03272 4.62412 286.51688 0.00000 
-5.20045 0.00000 0.00000 0.000000 -0.2131628E-13 0.1463274E-12 -0.4547474E-12 
547151.0 4078113.0 286.63444 236.28371 50.35073 505.30583 45.21839 4.43730 296.17146 12.43776 
-2.23161 0.00000 0.00000 42.69032 0.2842171E-13 -0.1167955E-12 -0.4547474E-12 
547121.0 4078083.0 286.45349 236.13454 50.31895 501.94016 45.23076 4.39468 281.42263 0.00000 
-0.05733 0.00000 0.00000 0.000000 -0.2060574E-12 0.7560619E-13 0.4973799E-12 
547121.0 4078143.0 286.36313 236.06006 50.30307 498.08130 45.03356 4.57807 286.29948 0.00000 
-5.20587 0.00000 0.00000 0.000000 -0.3197442E-12 0.1341149E-12 0.4760636E-12 
547121.0 4078113.0 286.36313 236.06006 50.30307 499.71763 45.18538 4.42531 296.28384 16.94194 
1.90353 0.00000 0.00000 25.74838 -0.3552714E-12 0.1247891E-12 0.4760636E-12 
547091.0 4078113.0 286.00222 235.76255 50.23968 492.19747 45.11570 4.43522 296.00266 16.94230 
1.81789 0.00000 0.00000 8.806088 -0.7815970E-13 -0.1274536E-12 -0.4405365E-12 
547061.0 4078083.0 285.73214 238.55795 47.17420 458.78044 42.14184 4.40862 287.99758 7.26811 
-0.02968 0.00000 0.00000 1.537975 -0.7105427E-14 -0.9947598E-13 0.3836931E-12 
547031.0 4078053.0 285.55236 238.40785 47.14451 454.61754 42.09297 4.43211 282.14555 1.53797 
-0.10676 0.00000 0.00000 0.000000 -0.6821210E-12 0.8404388E-13 -0.2700062E-12 
ANL-NBS-HS-000027 REV 01 V-7 October 2003

Analysis of Infiltration Uncertainty U0095 
Table V-3. Input File Used by POSTINFIL to Postprocess results from INFIL V. A_2.a1 (There are eleven 
of these input files corresponding to each watershed) 
!======================================================================= 
!POSTINFIL V. 2.50 input user control file!For use in calculations for YMP LA 
!Date: September, 2003! ANALYST: Ron McCurley, GRAM, Inc.
! 
! DESCRIPTION: 
! POSTINFIL Input File for SE7 watershed, glacial transition climate! 
!======================================================================= 
!Store mean infiltration and no. of active cells for watershed SE7 
*STORE, &
ARRAY=GLOBAL, STEP=1, COPY=0, &
NAMES: MEAN_INFIL=INF_SE7,NUMBER_CELLS=NCELLSE7,MEAN_RUNOFF=RUN_SE7
*coord, &
number=4, &
rect: x1=547750., x2=548550., y1=4077000., y2=4078400., &
rect: x1=547350., x2=548550., y1=4078400., y2=4079490., &
rect: x1=547350., x2=549200., y1=4079490., y2=4080228., &
rect: x1=547350., x2=548900., y1=4080228., y2=4081200.
*END 
ANL-NBS-HS-000027 REV 01 V-8 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table V-4. Input File for ALGEBRACDB 
!======================================================================= 
! ALGEBRACDB input file! ANALYST: Ron McCurley, GRAM! Date: September, 2003! DESCRIPTION: 
! ALGEBRACDB Input File for obtaining weighted average over repository! footprint, glacial transition climate! 
!======================================================================= 
!$ compute the weighted mean infiltration rate!$ sum over cells from all watersheds in repository footprint
TEMPSUM1 = NCELLSE7+NCELLSE8+NCELLSE9+NCELSE10 
TEMPSUM2 = NCELLWT2+NCELLDH4+NCELLDH3+NCELLCW1+NCELLSW1 
SUMCELLS= MAKEGLOB(TEMPSUM1+TEMPSUM2+NCELLWW1+NCELLUS1)
!$ 
TMPMEAN1 = NCELLWT2*INF_WT2 + NCELLDH4*INF_DH4 + NCELLDH3*INF_DH3 
TMPMEAN2 = NCELLCW1*INF_CW1 + NCELLSW1*INF_SW1 + NCELLWW1*INF_WW1 
TMPMEAN3 = NCELLSE7*INF_SE7 + NCELLSE8*INF_SE8 + NCELLSE9*INF_SE9 
TMPMEAN4 = NCELSE10*INF_SE10 + NCELLUS1*INF_US1 
INFMEAN = MAKEGLOB(TMPMEAN1 + TMPMEAN2 + TMPMEAN3 + TMPMEAN4)/SUMCELLSEXIT 
ANL-NBS-HS-000027 REV 01 V-9 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table V-5. Input File for GROPECDB 
!Input file for GROPECDBPRINT GVARS 
EXIT 
ANL-NBS-HS-000027 REV 01 V-10 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table V-6. Listing of Output from GROPECDB showing the value of the average net infiltration 
(INFMEAN) 
GROPECDB_PA96 
GGGGG RRRRRR OOOOO PPPPPP EEEEEEE CCCCC DDDDDD BBBBBB PPPPPP 
GG GG RR RR OO OO PP PP EE CC CC DD DD BB BB PP PP 
GG RR RR OO OO PP PP EE CC DD DD BB BB PP PP 
GG RRRRRR OO OO PPPPPP EEEEE CC DD DD BBBBBB PPPPPP 
GG GGG RRRRR OO OO PP EE CC DD DD BB BB PP 
GG GG RR RR OO OO PP EE CC CC DD DD BB BB PP 
GGGGG RR RR OOOOO PP EEEEEEE CCCCC DDDDDD BBBBBB _______ PP 
GROPECDB_PA96 Version 2.12 
PROD PA96 Built 06/27/96
Sponsored by Amy Gilkey 
Run on 09/08/03 at 12:49:31
Run on ALPHA AXP CCR OpenVMS V7.3-1 
Database: 
Written on:
U1:[RDMCCUR.YMP_2003_QACALCS.POSTPROCESS.MEAN_TULELAKE]MEAN_R001.CDB;108/28/03 11:00:26 
CAMDAT Version: 1 (EXODUS Version: 1) 
GLOBAL TIME STEP VARIABLES 
Step Time NCELLSE7 INF_SE7 RUN_SE7 NCELLSE8 
INF_SE8 RUN_SE8 NCELLSE9 INF_SE9 
RUN_SE9 NCELSE10 INF_SE10 RUN_SE10 
NCELLWW1 INF_WW1 RUN_WW1 NCELLCW1 
INF_CW1 RUN_CW1 NCELLSW1 INF_SW1 
RUN_SW1 NCELLDH3 INF_DH3 RUN_DH3 
NCELLDH4 INF_DH4 RUN_DH4 NCELLWT2 
INF_WT2 RUN_WT2 NCELLUS1 INF_US1 
RUN_US1 TEMPSUM1 TEMPSUM2 SUMCELLS 
TMPMEAN1 TMPMEAN2 TMPMEAN3 TMPMEAN4 
INFMEAN 
1 0.00000E+00 5.00000E+00 4.32339E+01 0.00000E+00 4.80000E+01 
4.82621E+01 0.00000E+00 8.50000E+01 4.89723E+01 
0.00000E+00 8.00000E+00 3.88690E+01 0.00000E+00 
7.81000E+02 2.03001E+01 0.00000E+00 3.39000E+02 
2.37957E+01 0.00000E+00 5.92000E+02 1.94368E+01 
0.00000E+00 1.25300E+03 1.62281E+01 0.00000E+00 
9.11000E+02 1.07267E+01 0.00000E+00 8.43000E+02 
1.67334E+01 0.00000E+00 0.00000E+00 0.00000E+00 
0.00000E+00 1.46000E+02 3.93800E+03 4.86500E+03 
4.42121E+04 3.54277E+04 6.69539E+03 3.10952E+02 
1.78101E+01 
ANL-NBS-HS-000027 REV 01 V-11 October 2003 

Analysis of Infiltration Uncertainty U0095 
INTENTIONALLY LEFT BLANK 
ANL-NBS-HS-000027 REV 01 V-12 October 2003 

Analysis of Infiltration Uncertainty U0095 
ATTACHMENT VI 
Conversion of Nevada State Coordinates in 800-IED-EBS0-00402-000-00B (BSC 2003 
[161727]) to UTM Coordinates Presented in Figure 1-1 and in Attachment IV 
ANL-NBS-HS-000027 REV 01 VI-1 October 2003 

Analysis of Infiltration Uncertainty U0095 
README.DOC 
Included in this attachment is a description of the conversion of coordinates (Nevada State) as 
found in end point coor042002.xls to the UTM coordinates in end_points_utm.dat 
The Excel spreadsheet end point coor042002.xls is the initial electronic source for the final 
electronic file end_points_utm.dat. The initial coordinates are in Nevada state plane 
coordinates (central zone) with meters as units. The northing, easting, and elevation columns of 
the Excel spreadsheet were rounded to integers using the Excel format options. These rounded 
numbers were visually/manually compared with the values found in Repository/PA IED 
Subsurface Facilities Plan Sht 2 and 3 of 5 (BSC 2003 [159527]) and found to be identical. The 
Excel spreadsheet was exported to an ASCII file and converted into an EarthVision dat file using 
a text editor. The EARTHVISION V5.1 (Dynamic Graphics 2000 [152614]) coordinate 
conversion utility was used to convert from the initial coordinates to UTM (Zone 11- the 
numbering of the zone on the planet where the proposed repository is located). The resulting file 
is an ASCII file which contains the end point coordinates in UTM coordinates. 
Note that the final file information is in a different order than the original. Northing in the 
spreadsheet corresponds to y, the fourth column in end_points_utm.dat, Easting corresponds to 
x the third column in end_points_utm.dat, and Elevation corresponds to z, the fifth column 
in end_points_utm.dat. 
Note that the second end point coordinate pair found in the spreadsheet which includes the note 
not shown is not included in any of the the subsequent files. This drift is not currently planned 
to be used for emplacement. 
The following files are included: 
(1) readme.doc This file. 
(2) end point coor042202.xls Initial electronic source for this data. 
(3) end_points_utm.dat ASCII EarthVision file resulting from coordinate 
transformation which contains UTM drift end coordinates. 
ANL-NBS-HS-000027 REV 01 VI-2 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial 
PRELIMINARY DRAFT OF END POINT COORDINATES 
Primary Northing(m) Easting(m) Elevation(m) Zone Drift Panel Side 
Block 
1a 236323.863 171665.62 1037.65 2 1 West East 
236150.798 171132.977 1037.65 2 1 West West 
1b 236141.527 171104.445 1037.65 3 1 East 
not Shown 236062.484 170861.174 1037.65 3 1 West 
2a 236237.412 171661.674 1038.822 2 2 West East 
236052.003 171091.041 1038.822 2 2 West West 
2b 236042.732 171062.509 1038.822 3 2 East 
235910.955 170656.939 1038.822 3 2 West 
3 236138.618 171619.739 1039.993 2 3 West East 
235953.208 171049.105 1039.993 2 3 West West 
235943.937 171020.573 1039.993 3 3 East 
235768.238 170479.825 1039.993 3 3 West 
4 236039.823 171577.803 1041.164 2 4 West East 
235854.413 171007.169 1041.164 2 4 West West 
235845.142 170978.637 1041.164 3 4 East 
235659.733 170408.003 1041.164 3 4 West 
5a 236137.403 172140.248 1042.336 2 1 East East 
235992.979 171695.756 1042.336 2 1 East West 
5b 235941.028 171535.867 1042.336 2 5 West East 
235755.618 170965.233 1042.336 2 5 West West 
5c 235746.348 170936.701 1042.336 3 5 East 
235560.938 170366.067 1042.336 3 5 West 
6 235462.143 170324.131 1043.507 3 6 West 
235647.553 170894.765 1043.507 3 6 East 
235656.823 170923.297 1043.507 2 6 West West 
235842.233 171493.931 1043.507 2 6 West East 
235894.184 171653.82 1043.507 2 2 East West 
236081.661 172230.815 1043.507 2 2 East East 
7 236012.902 172281.32 1044.678 2 3 East East 
235795.39 171611.884 1044.678 2 3 East West 
235743.438 171451.995 1044.678 2 7 West East 
235558.029 170881.361 1044.678 2 7 West West 
235548.758 170852.83 1044.678 3 7 East 
235363.348 170282.196 1044.678 3 7 West 
8 3 8 
3 8 East2 8 
2 8 East 
235264.554 170240.26 1045.85 West 
235449.963 170810.894 1045.85 
235459.234 170839.425 1045.85 West West 
235644.644 171410.059 1045.85 west 
ANL-NBS-HS-000027 REV 01 VI-3 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
PRELIMINARY DRAFT OF END POINT COORDINATES 
Primary Primary Primary Block Primary Block Primary Primary Primary Primary 
Block Block Block Block Block Block 
235696.595 171569.949 1045.85 2 4 East West 
235936.845 172309.363 1045.85 2 4 East East 
9 235835.884 172260.76 1047.021 2 5 East East 
235597.8 171528.013 1047.021 2 5 East West 
235545.849 171368.123 1047.021 2 9 West East 
235360.439 170797.489 1047.021 2 9 West West 
235351.169 170768.958 1047.021 3 9 East 
235165.759 170198.324 1047.021 3 9 West 
10 235061.884 170140.754 1048.192 3 10 West 
235252.842 170728.461 1048.192 3 10 East 
235262.112 170756.993 1048.192 2 10 West West 
235446.003 171322.951 1048.192 2 10 West East 
235492.689 171466.637 1048.192 2 6 East West 
235733.817 172208.754 1048.192 2 6 East East 
11 235631.751 172156.749 1049.363 2 7 East East 
235397.389 171435.455 1049.363 2 7 East West 
235359.359 171318.411 1049.363 2 11 West East 
235172.007 170741.8 1049.363 2 11 West West 
235155.124 170689.838 1049.363 3 11 East 
234969.843 170119.603 1049.363 3 11 West 
12 234883.199 170115.062 1050.535 3 12 West 
235068.48 170685.297 1050.535 3 12 East 
235085.363 170737.259 1050.535 2 12 West West 
235272.715 171313.87 1050.535 2 12 West East 
235310.745 171430.914 1050.535 2 8 East West 
235529.684 172104.743 1050.535 2 8 East East 
13 235427.618 172052.738 1051.706 2 9 East East 
235224.101 171426.373 1051.706 2 9 East West 
235186.071 171309.329 1051.706 2 13 West East 
234998.719 170732.718 1051.706 2 13 West West 
234981.835 170680.756 1051.706 3 13 East 
234796.554 170110.521 1051.706 3 13 West 
14 234709.91 170105.98 1052.877 3 14 West 
234895.191 170676.215 1052.877 3 14 East 
234912.075 170728.177 1052.877 2 14 West West 
235099.427 171304.788 1052.877 2 14 West East 
235137.456 171421.832 1052.877 2 10 East West 
235325.552 172000.733 1052.877 2 10 East East 
15 235223.485 171948.727 1054.049 2 11 East East 
235050.812 171417.292 1054.049 2 11 East West 
ANL-NBS-HS-000027 REV 01 VI-4 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Block Block Block Block Block BlockPRELIMINARY DRAFT OF END POINT COORDINATES 
Primary Primary Primary Block Primary Block Primary Primary Primary Primary 
235012.782 171300.247 1054.049 2 15 West East 
234825.43 170723.637 1054.049 2 15 West West 
234808.547 170671.674 1054.049 3 15 East 
234623.266 170101.44 1054.049 3 15 West 
16 234536.621 170096.899 1055.22 3 16 West 
234721.902 170667.133 1055.22 3 16 East 
234738.786 170719.096 1055.22 2 16 West West 
234926.138 171295.706 1055.22 2 16 West East 
234964.168 171412.751 1055.22 2 12 East West 
235121.419 171896.722 1055.22 2 12 East East 
17 235023.895 171858.695 1056.391 2 13 East East 
234877.524 171408.21 1056.391 2 13 East West 
234839.494 171291.166 1056.391 2 17 West East 
234652.142 170714.555 1056.391 2 17 West West 
234635.258 170662.593 1056.391 3 17 East 
234449.977 170092.358 1056.391 3 17 West 
18 234363.333 170087.817 1057.563 3 18 West 
234548.614 170658.052 1057.563 3 18 East 
234565.497 170710.014 1057.563 2 18 West West 
234752.849 171286.625 1057.563 2 18 West East 
234790.879 171403.669 1057.563 2 14 East West 
234931.743 171837.205 1057.563 2 14 East East 
19 234837.896 171810.496 1058.734 2 15 East East 
234704.235 171399.128 1058.734 2 15 East West 
234666.205 171282.084 1058.734 2 19 West East 
234478.853 170705.473 1058.734 2 19 West West 
234461.969 170653.511 1058.734 3 19 East 
234276.688 170083.276 1058.734 3 19 West 
20 234190.044 170078.735 1059.905 3 20 West 
234375.325 170648.97 1059.905 3 20 East 
234392.209 170700.932 1059.905 2 20 West West 
234579.561 171277.543 1059.905 2 20 West East 
234617.59 171394.587 1059.905 2 16 East West 
234749.206 171799.66 1059.905 2 16 East East 
21 2 17 East East2 17 East 
2 21 East2 21 
234657.945 171780.91 1061.077 
234530.946 171390.046 1061.077 West 
234492.916 171273.002 1061.077 West 
234305.564 170696.391 1061.077 West West 
ANL-NBS-HS-000027 REV 01 VI-5 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Block Block Block Block Block BlockPRELIMINARY DRAFT OF END POINT COORDINATES 
Primary Primary Primary Block Primary Block Primary Primary Primary Primary 
234288.681 170644.429 1061.077 3 21 East 
234103.4 170074.195 1061.077 3 21 West 
22 234017.679 170072.497 1062.248 3 22 West 
234202.036 170639.888 1062.248 3 22 East 
234218.92 170691.851 1062.248 2 22 West West 
234406.272 171268.461 1062.248 2 22 West East 
234444.302 171385.506 1062.248 2 18 East West 
234566.457 171761.463 1062.248 2 18 East East 
23a 234474.97 171742.017 1063.419 2 19 East East 
234357.657 171380.965 1063.419 2 19 East West 
23b 234319.628 171263.921 1063.419 2 23 West East 
234132.276 170687.31 1063.419 2 23 West West 
23c 234116.274 170638.061 1063.419 3 23 East 
233934.865 170079.743 1063.419 3 23 West 
24a 233852.05 170086.988 1064.59 3 24 West 
234036.36 170654.237 1064.59 3 24 East 
24b 234085.101 170804.246 1064.59 1 1 West 
234232.983 171259.38 1064.59 1 1 East 
25 234146.339 171254.839 1065.762 1 2 East 
233967.124 170703.269 1065.762 1 2 West 
233949.716 170649.696 1065.762 3 25 East 
233769.235 170094.233 1065.762 3 25 West 
26 233686.42 170101.479 1066.933 3 26 West 
233863.071 170645.156 1066.933 3 26 East 
233879.956 170697.118 1066.933 1 3 West 
234059.696 171250.298 1066.933 1 3 East 
27 233973.052 171245.757 1068.105 1 4 East 
233793.312 170692.577 1068.105 1 4 West 
233776.427 170640.615 1068.105 3 27 East 
233603.605 170108.724 1068.105 3 27 West 
28 233520.79 170115.969 1069.276 3 28 West 
233689.782 170636.074 1069.276 3 28 East 
233708.625 170694.06 1069.276 1 5 West 
233886.408 171241.216 1069.276 1 5 East 
29 233799.763 171236.676 1070.447 1 6 East 
233636.504 170734.215 1070.447 1 6 West 
233604.032 170634.286 1070.447 3 29 East 
233438.937 170126.175 1070.447 3 29 West 
ANL-NBS-HS-000027 REV 01 VI-6 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
PRELIMINARY DRAFT OF END POINT COORDINATES 
Primary Primary Primary Block Primary Block Primary Primary Primary Primary 
Block Block Block Block Block Block 
30 233364.351 170158.746 
233529.465 170666.915 
233713.121 171232.135 
233578.451 170817.667
1071.618 3 30 West1071.618 3 30 East1071.618 1 7 East1071.618 1 7 West 
31a 233475.813 170763.914 
233298.212 170217.316
31b 233626.476 171227.594 
233521.685 170905.079 
1072.79 3 31 East1072.79 3 31 West 
1072.79 1 8 East1072.79 1 8 West 
32 233366.538 171213.971 1076.304 5 1 East 
233128.777 170482.22 1076.304 5 1 West 
33 233043.122 170480.724 1077.476 5 2 West 
233279.893 171209.43 1077.476 5 2 East 
34 233193.249 171204.89 1078.647 5 3 East 
232957.467 170479.229 1078.647 5 3 West 
35 232871.813 170477.734 1079.818 5 4 West 
233106.604 171200.349 1079.818 5 4 East 
36 233019.96 171195.808 1080.99 5 5 East 
232786.158 170476.239 1080.99 5 5 West 
37 232700.503 170474.744 1082.161 5 6 West 
232933.315 171191.267 1082.161 5 6 East 
38 232846.671 171186.726 1083.332 5 7 East 
232614.848 170473.249 1083.332 5 7 West 
39 232529.193 170471.754 1084.504 5 8 West 
232760.026 171182.185 1084.504 5 8 East 
40 232673.382 171177.645 1085.675 5 9 East 
232443.538 170470.259 1085.675 5 9 West 
41 232357.824 170468.583 1086.847 5 10 West 
232586.737 171173.104 1086.847 5 10 East 
42 232500.093 171168.563 1088.018 5 11 East 
232273.136 170470.061 1088.018 5 11 West 
43 232188.447 170471.539 1089.189 5 12 West 
232413.448 171164.022 1089.189 5 12 East 
ANL-NBS-HS-000027 REV 01 VI-7 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
PRELIMINARY DRAFT OF END POINT COORDINATES 
Primary 
Block 
Primary 
Block 
Primary Block Primary Block Primary 
Block 
Primary 
Block 
Primary 
Block 
Primary 
Block 
44 232326.804 171159.481 1090.361 5 13 East 
232103.758 170473.017 1090.361 5 13 West 
45 232019.069 170474.496 1091.532 5 14 West 
232240.159 171154.94 1091.532 5 14 East 
46 232153.515 171150.399 1092.703 5 15 East 
231934.38 170475.974 1092.703 5 15 West 
47 231849.692 170477.452 1093.875 5 16 West 
232066.87 171145.859 1093.875 5 16 East 
48 231980.225 171141.318 1095.046 5 17 East 
231765.003 170478.93 1095.046 5 17 West 
49 231681.102 170482.833 1096.218 5 18 West 
231893.581 171136.777 1096.218 5 18 East 
50 231806.936 171132.236 1097.389 5 19 East 
231597.515 170487.704 1097.389 5 19 West 
51 231513.079 170489.959 1098.56 5 20 West 
231720.292 171127.695 1098.56 5 20 East 
52 231633.647 171123.154 1099.732 5 21 East 
231427.892 170489.905 1099.732 5 21 West 
53 231341.922 170487.44 1100.903 5 22 West 
231547.003 171118.614 1100.903 5 22 East 
54 231460.358 171114.073 1102.074 5 23 East 
231256.87 170487.8 1102.074 5 23 West 
55 231172.181 170489.278 1103.246 5 24 West 
231373.714 171109.532 1103.246 5 24 East 
56 231284.914 171098.358 1104.417 5 25 East 
231089.313 170496.36 1104.417 5 25 West 
57 231013.008 170523.641 1105.589 5 26 West 
231188.179 171062.762 1105.589 5 26 East 
58 231088.605 171018.429 1106.76 5 27 East 
230943.765 170572.657 1106.76 5 27 West 
ANL-NBS-HS-000027 REV 01 VI-8 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Lower Block Northing Easting Elevation Zone Drift Panel Side 
1 235253.906 172084.841 1001.937 4 1 East West 
235425.731 172613.666 1001.937 4 1 East East 
2 235345.392 172628.528 1001.287 4 2 East East 
235145.081 172012.034 1001.287 4 2 East West 
3 235046.287 171970.098 1000.636 4 3 East West 
235232.338 172542.704 1000.636 4 3 East East 
4 234947.493 171928.163 999.985 4 4 East West 
235132.357 172497.117 999.985 4 4 East East 
5 235029.969 172444.122 999.335 4 5 East East 
234850.11 171890.57 999.335 4 5 East West 
6 234761.42 171879.734 998.684 4 6 East West 
234938.631 172425.131 998.684 4 6 East East 
7 234855.024 172429.939 998.033 4 7 East East 
234675.573 171877.645 998.033 4 7 East West 
8 234587.983 171870.193 997.382 4 8 East West 
234771.724 172435.687 997.382 4 8 East East 
9 234678.932 172412.225 996.732 4 9 East East 
234491.821 171836.357 996.732 4 9 East West 
10a 234401.076 171819.196 996.081 4 10 East West 
234594.395 172414.169 996.081 4 10 East East 
10b 234245.198 171339.453 996.081 4 1 West West 
234391.806 171790.664 996.081 4 1 West East 
4 
11 234515.912 172434.746 995.43 4 11 East East 
234323.604 171842.882 995.43 4 11 East West 
234158.555 171334.912 995.43 4 2 West West 
234314.333 171814.35 995.43 4 2 West East 
12 234071.911 171330.371 994.78 4 3 West West 
234236.861 171838.036 994.78 4 3 West East 
234246.131 171866.567 994.78 4 12 East West 
234440.189 172463.814 994.78 4 12 East East 
13 234364.465 172492.882 994.129 4 13 East East 
234168.659 171890.253 994.129 4 13 East West 
234159.388 171861.721 994.129 4 4 West East 
233985.267 171325.83 994.129 4 4 West West 
ANL-NBS-HS-000027 REV 01 VI-9 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Lower Block Northing Easting Elevation Zone Drift Panel Side 
14 233898.623 171321.29 993.478 4 5 West West 
234081.286 171883.467 993.478 4 5 West East 
234090.664 171912.33 993.478 4 14 East West 
234288.741 172521.949 993.478 4 14 East East 
15 233811.979 171316.749 992.827 4 6 West West 
233997.389 171887.383 992.827 4 6 West East 
234006.66 171915.914 992.827 4 15 East West 
234213.017 172551.017 992.827 4 15 East East 
16 234137.294 172580.085 992.177 4 16 East East 
233920.016 171911.374 992.177 4 16 East West 
233910.746 171882.842 992.177 4 7 West East 
233725.335 171312.208 992.177 4 7 West West 
17 233638.692 171307.667 991.526 4 8 West West 
233824.102 171878.301 991.526 4 8 West East 
233833.372 171906.833 991.526 4 17 East West 
234061.57 172609.153 991.526 4 17 East East 
18 233985.874 172638.307 990.875 4 18 East East 
233746.728 171902.292 990.875 4 18 East West 
233737.458 171873.76 990.875 4 9 West East 
233552.048 171303.126 990.875 4 9 West West 
19 233465.404 171298.585 990.224 4 10 West West 
233650.814 171869.219 990.224 4 10 West East 
233660.085 171897.751 990.224 4 19 East West 
233906.404 172655.844 990.224 4 19 East East 
20 233818.569 172647.636 989.574 4 20 East East 
233573.441 171893.21 989.574 4 20 East West 
233564.17 171864.679 989.574 4 11 West East 
233378.76 171294.045 989.574 4 11 West West 
21 233292.116 171289.504 988.923 4 12 West West 
233477.526 171860.138 988.923 4 12 West East 
233486.797 171888.669 988.923 4 21 East West 
233722.167 172613.065 988.923 4 21 East East 
22 233625.576 172577.908 988.272 4 22 East East 
233400.153 171884.129 988.272 4 22 East West 
233390.883 171855.597 988.272 4 13 West East 
233205.472 171284.963 988.272 4 13 West West 
23 233118.829 171280.422 987.622 4 14 West West 
233304.239 171851.056 987.622 4 14 West East 
233313.509 171879.588 987.622 4 23 East West 
233528.984 172542.752 987.622 4 23 East East 
ANL-NBS-HS-000027 REV 01 VI-10 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Lower Block Northing Easting Elevation Zone Drift Panel Side 
24 233432.393 172507.595 986.971 4 24 East East 
233226.865 171875.047 986.971 4 24 East West 
233217.595 171846.515 986.971 4 15 West East 
233032.185 171275.881 986.971 4 15 West West 
25 232945.541 171271.341 986.32 4 16 West West 
233130.951 171841.975 986.32 4 16 West East 
233140.222 171870.506 986.32 4 25 East West 
233335.801 172472.439 986.32 4 25 East East 
26 233239.21 172437.283 985.669 4 26 East East 
233053.578 171865.965 985.669 4 26 East West 
233044.307 171837.434 985.669 4 17 West East 
232858.897 171266.8 985.669 4 17 West West 
27 232772.253 171262.259 985.019 4 18 West West 
232957.663 171832.893 985.019 4 18 West East 
232966.934 171861.425 985.019 4 27 East West 
233148.327 172419.696 985.019 4 27 East East 
28 233061.683 172415.155 984.368 4 28 East East 
232880.29 171856.884 984.368 4 28 East West 
232871.02 171828.352 984.368 4 19 West East 
232685.609 171257.718 984.368 4 19 West West 
29 232598.966 171253.177 983.717 4 20 West West 
232784.376 171823.811 983.717 4 20 West East 
232793.646 171852.343 983.717 4 29 East West 
232975.04 172410.614 983.717 4 29 East East 
30 232888.396 172406.074 983.067 4 30 East East 
232707.002 171847.802 983.067 4 30 East West 
232697.732 171819.27 983.067 4 21 West East 
232512.322 171248.637 983.067 4 21 West West 
31 232425.678 171244.096 982.416 4 22 West West 
232611.088 171814.73 982.416 4 22 West East 
232620.359 171843.261 982.416 4 31 East West 
232801.752 172401.533 982.416 4 31 East East 
32 232715.108 172396.992 981.765 4 32 East East 
232533.715 171838.721 981.765 4 32 East West 
232524.444 171810.189 981.765 4 23 West East 
232339.034 171239.555 981.765 4 23 West West 
33 232252.39 171235.014 981.114 4 24 West West 
232437.8 171805.648 981.114 4 24 West East 
232447.071 171834.18 981.114 4 33 East West 
232628.464 172392.451 981.114 4 33 East East 
ANL-NBS-HS-000027 REV 01 VI-11 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-1. Electronic Source for this Data (from 800-IED-EBS0-00402-000-00B, BSC 2003 [161727]) 
end point coor042202.xlsInitial (Continued) 
Lower Block Northing Easting Elevation Zone Drift Panel Side 
34 232541.82 
232360.427 
172387.91 
171829.639 
980.464 
980.464 
4 
4 
34 
34 
East 
East 
EastWest 
232351.157 
232165.746 
171801.107 
171230.473 
980.464 
980.464 
4 
4 
25 
25 
West 
West 
EastWest 
35 232079.102 
232264.513 
171225.932 
171796.566 
979.813 
979.813 
4 
4 
26 
26 
West 
West 
WestEast 
232273.783 
232455.177 
171825.098 
172383.37 
979.813 
979.813 
4 
4 
35 
35 
East 
East 
WestEast 
36a 232368.533 
232187.139 
172378.829 
171820.557 
979.162 
979.162 
4 
4 
36 
36 
East 
East 
EastWest 
36b 232177.869 
232060.697 
171792.026 
171431.409 
979.162 
979.162 
4 
4 
27 
27 
West 
West 
EastWest 
37 232100.496 
232281.889 
171816.016 
172374.288 
978.511 
978.511 
4 
4 
37 
37 
East 
East 
WestEast 
38 232195.245 
232044.967 
172369.747 
171907.24 
977.861 
977.861 
4 
4 
38 
38 
East 
East 
EastWest 
ANL-NBS-HS-000027 REV 01 VI-12 October 2003 

Analysis of Infiltration Uncertainty U0095 
Table VI-2. end_points_utm.dat Edited ASCII EarthVision file resulting from coordinate 
transformation which contains UTM drift end coordinates (in meters).(x, y, z referred to in 
readme.doc correspond to the 3rd, 4th, and 5th column respectively) 
# Type: scattered data# Version: 5 
# Description: end point coordinates mol.20020601.0194; these are rounded tonearest meter from excel spreadsheet.
# Format: free 
# Field: 1 Block 
# Field: 2 Number 
# Field: 3 x 
# Field: 4 y# Field: 5 z meters 
# Field: 6 Zone 
# Field: 7 Drift 
# Field: 8 Panel 
# Field: 9 Side 
# Field: 10 Lineid non-numeric 
# Projection: Universal Transverse Mercator# Zone: 11 
# Units: meters 
# Ellipsoid: Clarke 1866# End: 
P 1a 548966.0766 4081494.984 1038 2 1 West East 1 
P "" 548433.8373 4081320.173 1038 2 1 West West 1 
P 2a 548962.3884 4081407.996 1039 2 2 West East 2 
P "" 548392.192 4081221.054 1039 2 2 West West 2 
P 2b 548364.2318 4081211.959 1039 3 2 "" East 3 
P "" 547958.8063 4081078.578 1039 3 2 "" West 3 
P 3 548920.7351 4081309.876 1040 2 3 West East 4 
P "" 548350.5458 4081121.935 1040 2 3 West West 4 
P "" 548322.5852 4081112.841 1040 3 3 "" East 5 
P "" 547782.3585 4080935.001 1040 3 3 "" West 5 
P 4 548879.0954 4081210.757 1041 2 4 West East 6 
P "" 548308.9074 4081022.817 1041 2 4 West West 6 
P "" 548280.9465 4081013.722 1041 3 4 "" East 7 
P "" 547710.754 4080826.781 1041 3 4 "" West 7 
P 5a 549440.5964 4081309.692 1042 2 1 East East 8 
P "" 548997.2225 4081164.182 1042 2 1 East West 8 
P 5b 548837.4547 4081111.639 1042 2 5 West East 9 
P "" 548267.2625 4080924.698 1042 2 5 West West 9 
P 5c 548239.3068 4080914.603 1042 3 5 "" East 10 
P "" 547669.1068 4080727.662 1042 3 5 "" West 10 
P 6 547627.4675 4080628.543 1044 3 6 "" West 11 
P "" 548197.6605 4080816.484 1044 3 6 "" East 11 
P "" 548225.6132 4080825.579 1044 2 6 West West 12 
P "" 548795.813 4081012.52 1044 2 6 West East 12 
P "" 548955.5829 4081065.063 1044 2 2 East West 13 
P "" 549531.7677 4081255.025 1044 2 2 East East 13 
P 7 549581.9894 4081186.219 1045 2 3 East East 14 
P "" 548913.9424 4080965.945 1045 2 3 East West 14 
P "" 548754.1704 4080913.401 1045 2 7 West East 15 
P "" 548183.9719 4080726.461 1045 2 7 West West 15 
P "" 548156.0099 4080717.365 1045 3 7 "" East 16 
P "" 547585.8272 4080529.425 1045 3 7 "" West 16 
ANL-NBS-HS-000027 REV 01 VI-13 October 2003 

Analysis of Infiltration Uncertainty U0095 
P 8 547544.1803 4080431.306 1046 3 8 "" West 17 
P "" 548114.3672 4080618.246 1046 3 8 "" East 17 
P "" 548142.3297 4080627.341 1046 2 8 West West 18 
P "" 548712.521 4080815.282 1046 2 8 west East 18 
P "" 548872.2951 4080867.825 1046 2 4 East West 19 
P "" 549610.2478 4081110.338 1046 2 4 East East 19 
P 9 549562.6196 4081009.198 1047 2 5 East East 20 
P "" 548830.6525 4080768.707 1047 2 5 East West 20 
P "" 548670.8764 4080716.163 1047 2 9 West East 21 
P "" 548100.6864 4080528.223 1047 2 9 West West 21 
P "" 548072.7325 4080519.127 1047 3 9 "" East 22 
P "" 547502.5381 4080332.187 1047 3 9 "" West 22 
P 10 547445.9126 4080228.017 1048 3 10 "" West 23 
P "" 548032.0805 4080421.013 1048 3 10 "" East 23 
P "" 548061.0419 4080430.111 1048 2 10 West West 24 
P "" 548626.2417 4080616.034 1048 2 10 West East 24 
P "" 548770.0322 4080663.524 1048 2 6 East West 25 
P "" 549510.9854 4080907.046 1048 2 6 East East 25 
P 11 549459.3589 4080804.892 1049 2 7 East East 26 
P "" 548738.3796 4080567.439 1049 2 7 East West 26 
P "" 548621.5424 4080529.041 1049 2 11 West East 27 
P "" 548046.3619 4080340.084 1049 2 11 West West 27 
P "" 547994.4313 4080322.907 1049 3 11 "" East 28 
P "" 547425.2381 4080135.971 1049 3 11 "" West 28 
P 12 547420.544 4080048.978 1051 3 12 "" West 29 
P "" 547989.7431 4080235.914 1051 3 12 "" East 29 
P "" 548041.6653 4080253.091 1051 2 12 West West 30 
P "" 548617.8444 4080443.052 1051 2 12 West East 30 
P "" 548734.6828 4080481.45 1051 2 8 East West 31 
P "" 549407.7311 4080702.74 1051 2 8 East East 31 
P 13 549356.102 4080600.587 1052 2 9 East East 32 
P "" 548729.9845 4080394.457 1052 2 9 East West 32 
P "" 548613.1537 4080356.059 1052 2 13 West East 33 
P "" 548037.9702 4080167.101 1052 2 13 West West 33 
P "" 547986.0386 4080149.924 1052 3 13 "" East 34 
P "" 547416.8514 4079962.987 1052 3 13 "" West 34 
P 14 547412.1481 4079875.995 1053 3 14 "" West 35 
P "" 547981.3501 4080062.932 1053 3 14 "" East 35 
P "" 548033.2734 4080080.109 1053 2 14 West West 36 
P "" 548609.4612 4080269.07 1053 2 14 West East 36 
P "" 548726.2932 4080307.467 1053 2 10 East West 37 
P "" 549304.4717 4080498.434 1053 2 10 East East 37 
P 15 549252.8459 4080395.282 1054 2 11 East East 38 
P "" 548721.5889 4080221.474 1054 2 11 East West 38 
P "" 548604.7557 4080183.076 1054 2 15 West East 39 
P "" 548029.5749 4079993.119 1054 2 15 West West 39 
P "" 547977.6454 4079976.942 1054 3 15 "" East 40 
P "" 547407.4536 4079789.002 1054 3 15 "" West 40 
P 16 547403.7607 4079703.012 1055 3 16 "" West 41 
P "" 547972.9478 4079889.949 1055 3 16 "" East 41 
P "" 548024.8811 4079907.126 1055 2 16 West West 42 
P "" 548601.0631 4080096.087 1055 2 16 West East 42 
P "" 548717.8975 4080134.484 1055 2 12 East West 43 
P "" 549201.2131 4080293.129 1055 2 12 East East 43 
P 17 549163.562 4080196.023 1056 2 13 East East 44 
P "" 548713.2019 4080048.491 1056 2 13 East West 44 
P "" 548596.372 4080009.094 1056 2 17 West East 45 
ANL-NBS-HS-000027 REV 01 VI-14 October 2003 

Analysis of Infiltration Uncertainty U0095 
P "" 548021.1824 4079820.137 1056 2 17 West West 45 
P "" 547969.2574 4079802.96 1056 3 17 "" East 46 
P "" 547399.0661 4079616.019 1056 3 17 "" West 46 
P 18 547395.3696 4079529.03 1058 3 18 "" West 47 
P "" 547964.554 4079716.966 1058 3 18 "" East 47 
P "" 548016.4851 4079733.143 1058 2 18 West West 48 
P "" 548592.6734 4079923.104 1058 2 18 West East 48 
P "" 548709.5013 4079961.501 1058 2 14 East West 49 
P "" 549141.8897 4080103.972 1058 2 14 East East 49 
P 19 549115.228 4080009.904 1059 2 15 East East 50 
P "" 548704.8112 4079874.509 1059 2 15 East West 50 
P "" 548587.9732 4079836.111 1059 2 19 West East 51 
P "" 548011.7911 4079647.15 1059 2 19 West West 51 
P "" 547960.8634 4079629.977 1059 3 19 "" East 52 
P "" 547390.6691 4079443.037 1059 3 19 "" West 52 
P 20 547386.9725 4079356.047 1060 3 20 "" West 53 
P "" 547956.1655 4079542.985 1060 3 20 "" East 53 
P "" 548008.092 4079560.16 1060 2 20 West West 54 
P "" 548584.2744 4079750.122 1060 2 20 West East 54 
P "" 548701.1136 4079788.519 1060 2 16 East West 55 
P "" 549105.5352 4079920.895 1060 2 16 East East 55 
P 21 549086.8598 4079829.855 1061 2 17 East East 56 
P "" 548696.4144 4079701.526 1061 2 17 East West 56 
P "" 548579.5829 4079663.128 1061 2 21 West East 57 
P "" 548003.3977 4079474.167 1061 2 21 West West 57 
P "" 547951.4706 4079456.991 1061 3 21 "" East 58 
P "" 547382.2774 4079269.054 1061 3 21 "" West 58 
P 22 547380.5751 4079184.071 1062 3 22 "" West 59 
P "" 547947.7708 4079370.002 1062 3 22 "" East 59 
P "" 547999.6984 4079387.178 1062 2 22 West West 60 
P "" 548574.8823 4079576.135 1062 2 22 West East 60 
P "" 548692.7224 4079614.536 1062 2 18 East West 61 
P "" 549067.1913 4079737.81 1062 2 18 East East 61 
P 23a 549048.515 4079646.769 1063 2 19 East East 62 
P "" 548688.0172 4079528.543 1063 2 19 East West 62 
P 23b 548571.1832 4079490.145 1063 2 23 West East 63 
P "" 547995.0096 4079300.185 1063 2 23 West West 63 
P 23c 547946.071 4079284.019 1063 3 23 "" East 64 
P "" 547388.8638 4079101.123 1063 3 23 "" West 64 
P 24a 547396.1542 4079018.17 1065 3 24 "" West 65 
P "" 547962.3534 4079204.097 1065 3 24 "" East 65 
P 24b 548112.1327 4079253.606 1065 1 1 "" West 66 
P "" 548566.4914 4079403.152 1065 1 1 "" East 66 
P 25 548562.7978 4079316.163 1066 1 2 "" East 67 
P "" 548011.5754 4079135.288 1066 1 2 "" West 67 
P "" 547958.6479 4079118.108 1066 3 25 "" East 68 
P "" 547403.4358 4078935.219 1066 3 25 "" West 68 
P 26 547410.7264 4078852.266 1067 3 26 "" West 69 
P "" 547953.9584 4079031.114 1067 3 26 "" East 69 
P "" 548005.8791 4079048.291 1067 1 3 "" West 70 
P "" 548558.1 4079230.17 1067 1 3 "" East 70 
P 27 548554.4062 4079143.181 1068 1 4 "" East 71 
P "" 548002.1885 4078961.302 1068 1 4 "" West 71 
P "" 547950.2583 4078944.124 1068 3 27 "" East 72 
P "" 547419.0101 4078770.317 1068 3 27 "" West 72 
P 28 547426.301 4078687.365 1069 3 28 "" West 73 
P "" 547945.563 4078858.132 1069 3 28 "" East 73 
ANL-NBS-HS-000027 REV 01 VI-15 October 2003 

Analysis of Infiltration Uncertainty U0095 
P "" 548003.4821 4078877.329 1069 1 5 "" West 74 
P "" 548549.705 4079056.188 1069 1 5 "" East 74 
P 29 548546.0053 4078970.197 1070 1 6 "" East 75 
P "" 548043.7193 4078805.488 1070 1 6 "" West 75 
P "" 547943.8629 4078772.149 1070 3 29 "" East 76 
P "" 547436.5818 4078605.423 1070 3 29 "" West 76 
P 30 547469.8338 4078530.56 1072 3 30 "" West 77 
P "" 547977.1187 4078697.285 1072 3 30 "" East 77 
P "" 548541.3128 4078883.204 1072 1 7 "" East 78 
P "" 548127.9054 4078746.799 1072 1 7 "" West 78 
P 31a 548074.2697 4078644.638 1073 3 31 "" East 79 
P "" 547528.0432 4078464.781 1073 3 31 "" West 79 
P 31b 548537.6186 4078796.215 1073 1 8 "" East 80 
P "" 548215.0712 4078691.118 1073 1 8 "" West 80 
P 32 548524.5272 4078537.239 1076 5 1 "" East 81 
P "" 547793.5579 4078296.753 1076 5 1 "" West 81 
P 33 547792.8635 4078210.774 1077 5 2 "" West 82 
P "" 548519.8341 4078450.246 1077 5 2 "" East 82 
P 34 548516.1394 4078363.257 1079 5 3 "" East 83 
P "" 547791.1616 4078124.79 1079 5 3 "" West 83 
P 35 547790.4616 4078039.811 1080 5 4 "" West 84 
P "" 548511.4404 4078277.264 1080 5 4 "" East 84 
P 36 548507.7456 4078190.274 1081 5 5 "" East 85 
P "" 547788.7596 4077953.829 1081 5 5 "" West 85 
P 37 547788.0595 4077868.849 1082 5 6 "" West 86 
P "" 548503.0431 4078103.281 1082 5 6 "" East 86 
P 38 548499.3513 4078017.292 1083 5 7 "" East 87 
P "" 547786.3574 4077782.867 1083 5 7 "" West 87 
P 39 547785.6539 4077696.887 1085 5 8 "" West 88 
P "" 548494.6486 4077930.298 1085 5 8 "" East 88 
P 40 548490.9534 4077843.309 1086 5 9 "" East 89 
P "" 547783.955 4077611.904 1086 5 9 "" West 89 
P 41 547783.2514 4077525.925 1087 5 10 "" West 90 
P "" 548486.2537 4077757.316 1087 5 10 "" East 90 
P 42 548482.5582 4077670.326 1088 5 11 "" East 91 
P "" 547784.5484 4077440.953 1088 5 11 "" West 91 
P 43 547786.8439 4077355.983 1089 5 12 "" West 92 
P "" 548477.8641 4077583.334 1089 5 12 "" East 92 
P 44 548473.173 4077497.341 1090 5 13 "" East 93 
P "" 547788.1353 4077272.01 1090 5 13 "" West 93 
P 45 547789.4322 4077187.038 1092 5 14 "" West 94 
P "" 548469.4772 4077410.351 1092 5 14 "" East 94 
P 46 548464.777 4077324.358 1093 5 15 "" East 95 
P "" 547791.7278 4077102.068 1093 5 15 "" West 95 
P 47 547793.0281 4077018.096 1094 5 16 "" West 96 
P "" 548461.0811 4077237.368 1094 5 16 "" East 96 
P 48 548456.3863 4077150.375 1095 5 17 "" East 97 
P "" 547795.3238 4076933.127 1095 5 17 "" West 97 
P 49 547799.6113 4076849.164 1096 5 18 "" West 98 
P "" 548452.6845 4077064.385 1096 5 18 "" East 98 
P 50 548447.9895 4076977.393 1097 5 19 "" East 99 
P "" 547804.9008 4076766.206 1097 5 19 "" West 99 
P 51 547807.1966 4076681.236 1099 5 20 "" West 100 
P "" 548444.2932 4076890.403 1099 5 20 "" East 100 
P 52 548439.5923 4076804.41 1100 5 21 "" East 101 
P "" 547807.495 4076596.26 1100 5 21 "" West 101 
P 53 547804.7939 4076510.274 1101 5 22 "" West 102 
ANL-NBS-HS-000027 REV 01 VI-16 October 2003 

Analysis of Infiltration Uncertainty U0095 
P "" 548435.8958 4076717.42 1101 5 22 "" East 102 
P 54 548431.2093 4076630.428 1102 5 23 "" East 103 
P "" 547806.091 4076425.301 1102 5 23 "" West 103 
P 55 547807.388 4076340.329 1103 5 24 "" West 104 
P "" 548427.5068 4076544.437 1103 5 24 "" East 104 
P 56 548415.8225 4076455.421 1104 5 25 "" East 105 
P "" 547814.6754 4076257.377 1104 5 25 "" West 105 
P 57 547842.9334 4076181.496 1106 5 26 "" West 106 
P "" 548381.1676 4076358.326 1106 5 26 "" East 106 
P 58 548336.5267 4076259.197 1107 5 27 "" East 107 
P "" 547892.1536 4076112.686 1107 5 27 "" West 107 
ANL-NBS-HS-000027 REV 01 VI-17 October 2003 

Analysis of Infiltration Uncertainty U0095 
INTENTIONALLY LEFT BLANK 
ANL-NBS-HS-000027 REV 01 VI-18 October 2003