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Semi-analytical Stochastic Study of Radionuclide Transport in the ...

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Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 1 <strong>of</strong> 71.0 APPROACHThe complex heterogeneity <strong>of</strong> <strong>the</strong> natural media and <strong>the</strong> uncerta<strong>in</strong>ty <strong>in</strong> data for <strong>the</strong> saturated zonebelow <strong>the</strong> Yucca Mounta<strong>in</strong> project (YMP) area preclude us<strong>in</strong>g traditional determ<strong>in</strong>istic approachesto model solute transport. To overcome <strong>the</strong> scale dependence <strong>of</strong> hydraulic parameters, currentdeterm<strong>in</strong>istic numerical methods adopt <strong>the</strong> concept <strong>of</strong> macro-parameters (or effective values <strong>of</strong>parameters), which comes from stochastic <strong>the</strong>ory, to deal with small scale variations <strong>of</strong> parameters.This adoption, coupled with <strong>the</strong> flexibility <strong>of</strong> numerical methods to complex <strong>in</strong>itial and boundaryconditions, makes <strong>the</strong> current numerical model<strong>in</strong>g approach popular <strong>in</strong> model<strong>in</strong>g groundwater flowand chemical transport processes. Small-scale variation <strong>of</strong> parameters, such as hydraulicconductivity, has significant <strong>in</strong>fluence on macro-scale flow and transport processes. SandiaNational Laboratory (SNL) has conducted geostatistical studies to <strong>in</strong>vestigate parameter variationwith<strong>in</strong> a s<strong>in</strong>gle gridblock (500×500×50 meters). Dispersivity at <strong>the</strong> grid scale has been obta<strong>in</strong>ed.However, geostatistical simulations <strong>of</strong> <strong>the</strong> hydraulic conductivity and sorption coefficients at <strong>the</strong>scale <strong>of</strong> <strong>the</strong> site-scale model (30×45×0.9 km) have not been conducted. These geostatisticalsimulations are <strong>the</strong> basis for study <strong>of</strong> dispersion process and for <strong>the</strong> uncerta<strong>in</strong>ty analysis <strong>of</strong>radionuclide transport prediction <strong>in</strong> <strong>the</strong> site-scale.Large differences exist between <strong>the</strong> scale <strong>of</strong> field measurements and <strong>the</strong> scale <strong>of</strong> numericalgridblocks and <strong>the</strong> scale <strong>of</strong> macrodispersivity be<strong>in</strong>g modeled for <strong>the</strong> YMP. Currently, a veryimportant issue that needs to be resolved is how to scale-up <strong>the</strong> parameter values to effective macroscaleparameter values, especially <strong>the</strong> evaluation <strong>of</strong> macro-dispersivity from micro-scale variation<strong>of</strong> hydraulic conductivity.The numerical method, coupled with effective parameter values, is effective to predict mean orexpectation values <strong>of</strong> flow and chemical plume distributions. However, it is difficult to apply thisnumerical method to analyze <strong>the</strong> uncerta<strong>in</strong>ty <strong>of</strong> prediction, which is associated with <strong>the</strong> uncerta<strong>in</strong>ty<strong>of</strong> <strong>in</strong>put data <strong>of</strong> parameters. However, because quantification <strong>of</strong> prediction uncerta<strong>in</strong>ty is asimportant as <strong>the</strong> mean value prediction <strong>in</strong> eng<strong>in</strong>eer<strong>in</strong>g design, <strong>the</strong> prediction uncerta<strong>in</strong>ty, or possiblevariation about <strong>the</strong> expected concentration or solute flux, must be evaluated.2.0 SCOPE AND OBJECTIVESThe study will couple a stochastic perturbation approach with numerical methods to study <strong>the</strong> role<strong>of</strong> heterogeneity, and boundary and <strong>in</strong>itial conditions on chemical transport <strong>in</strong> natural media. Forgroundwater flow <strong>in</strong> <strong>the</strong> media under <strong>the</strong> YMP area, flow boundaries are f<strong>in</strong>ite and <strong>the</strong> assumption<strong>of</strong> spatially stationary flow at <strong>the</strong> site scale is violated. The method used <strong>in</strong> this study willovercome <strong>the</strong> limitations <strong>of</strong> classical stochastic <strong>the</strong>ory. The study results will provide <strong>the</strong> mean andvariance <strong>of</strong> solute plume distribution <strong>in</strong> complex groundwater flow system below <strong>the</strong> study site.The method used <strong>in</strong> this project can be applied to many o<strong>the</strong>r sites at <strong>the</strong> YMP. This study is be<strong>in</strong>gconducted as a part <strong>of</strong> <strong>the</strong> efforts document<strong>in</strong>g <strong>the</strong> YMP site recommendation. To reach this goal,<strong>the</strong> follow<strong>in</strong>g objectives will be achieved:


Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 2 <strong>of</strong> 7Objective 1. Construct conductivity and sorption coefficient distributions <strong>in</strong> <strong>the</strong> study site us<strong>in</strong>ggeostatistical methods.Objective 2. Estimate <strong>the</strong> effective value <strong>of</strong> dispersivity <strong>in</strong> <strong>the</strong> scale <strong>of</strong> site-scale model fromgeostatistical study <strong>of</strong> hydraulic conductivity <strong>in</strong> grid-block size. The upscal<strong>in</strong>g results can be usedas <strong>in</strong>put parameter values for future numerical model<strong>in</strong>g.Objective 3. Predict <strong>the</strong> means and variances <strong>of</strong> solute flux through a hypo<strong>the</strong>tical 20-kmcompliance plane us<strong>in</strong>g a newly developed semi-<strong>analytical</strong> stochastic method. This prediction is<strong>in</strong>tended to complement transport predictions made by LANL.3.0 SUBTASKS AND WORK PLANThe proposed study has 5 subtasks to be completed with<strong>in</strong> three fund<strong>in</strong>g cycles total<strong>in</strong>g 28 months:Cycle I: 03/01/00 through 06/30/00;Cycle II: 07/01/00 through 06/30/01;Cycle III: 07/01/01 through 06/30/02.Subtask 1. Quality Assurance (QA)The proposed study <strong>in</strong>cludes data collection and numerical code development. This study, under<strong>the</strong> cooperative agreement, has been determ<strong>in</strong>ed by DOE to be quality-affect<strong>in</strong>g. Accord<strong>in</strong>gly, <strong>the</strong>proposed study will comply with <strong>the</strong> University and Community College System <strong>of</strong> Nevada(UCCSN) Quality Assurance (QA) program. The purpose <strong>of</strong> this Subtask is to ensure that <strong>the</strong>UCCSN QA program is satisfied. We will prepare Quality Assurance documentation <strong>in</strong>clud<strong>in</strong>g thisScientific Investigation Plan (SIP), implement<strong>in</strong>g procedures (IP) for test<strong>in</strong>g procedures that will befollowed without variation. The SIP must be complete and approved prior to <strong>the</strong> start <strong>of</strong> qualityaffect<strong>in</strong>g work. The numerical codes developed <strong>in</strong> this study will have QA test<strong>in</strong>g conducted before<strong>the</strong>y are used to conduct quality-affect<strong>in</strong>g calculations.The subtask 1 is an ongo<strong>in</strong>g effort for <strong>the</strong> duration <strong>of</strong> <strong>the</strong> 28 months.Subtask 2. Data Collection and EvaluationIntr<strong>in</strong>sic permeability and related measures <strong>of</strong> hydrologic behavior such as hydraulic conductivityand transmissivity have been measured at a variety <strong>of</strong> scales both with<strong>in</strong> <strong>the</strong> study area and <strong>in</strong>geologically similar media proximate to <strong>the</strong> study area. Supplement<strong>in</strong>g <strong>the</strong>se direct measurementsare observations <strong>of</strong> lithostratigraphy, fracture orientation and frequency, and geophysicalobservations such as electrical conductivity. These measurements and observations will be collectedalong with <strong>the</strong> spatial coord<strong>in</strong>ates and used to develop an estimate <strong>of</strong> <strong>the</strong> spatial distribution <strong>of</strong><strong>in</strong>tr<strong>in</strong>sic permeability. Measurements <strong>of</strong> petrographic composition (XRD, micro-probe, etc.) will becollected and evaluated to ref<strong>in</strong>e <strong>the</strong> estimate <strong>of</strong> <strong>the</strong> sorption coefficient spatial distribution. Data


Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 3 <strong>of</strong> 7used will be qualified, obta<strong>in</strong>ed from <strong>the</strong> Technical Data Management System, and identified by adata track<strong>in</strong>g number.The subtask 2 is conducted dur<strong>in</strong>g two periods: May 1, 2000 to December 31, 2000 for collection <strong>of</strong>permeability data, and October 1, 2001 to December 31, 2001 for collection <strong>of</strong> sorption coefficientdata.Subtask 3. Acquisition <strong>of</strong> Analytical ToolsEstimation <strong>of</strong> spatially heterogeneous parameters, such as <strong>in</strong>tr<strong>in</strong>sic permeability or <strong>the</strong> sorptioncoefficient, entails identify<strong>in</strong>g <strong>the</strong> boundaries <strong>of</strong> dist<strong>in</strong>ct populations and <strong>the</strong> nature <strong>of</strong> distributionwith<strong>in</strong> those boundaries. In this study, <strong>the</strong> discrete determ<strong>in</strong>istic layers <strong>in</strong> <strong>the</strong> exist<strong>in</strong>g anddevelop<strong>in</strong>g saturated zone (SZ) model are be<strong>in</strong>g used as boundaries, and only <strong>the</strong> variation with<strong>in</strong>those boundaries is be<strong>in</strong>g addressed. No uncerta<strong>in</strong>ty <strong>in</strong> <strong>the</strong> location <strong>of</strong> contacts between <strong>the</strong> layers isbe<strong>in</strong>g considered. Because <strong>of</strong> differences <strong>in</strong> grid spac<strong>in</strong>g between <strong>the</strong> exist<strong>in</strong>g SZ model and <strong>the</strong>work be<strong>in</strong>g done <strong>in</strong> this study, a coarser grid will be contoured us<strong>in</strong>g Surfer s<strong>of</strong>tware. If a morecurrent model <strong>of</strong> <strong>the</strong> SZ surfaces can be obta<strong>in</strong>ed <strong>in</strong> time, those surfaces will be used, however atpresent an older, currently available version is be<strong>in</strong>g used.Heterogeneity with<strong>in</strong> <strong>the</strong> determ<strong>in</strong>istic layers will be simulated us<strong>in</strong>g s<strong>of</strong>tware from GSLIB, 2 ndedition. These programs require <strong>the</strong> estimation <strong>of</strong> semivariograms, as well as means and variances.The output from <strong>the</strong>se programs will be composited such that <strong>the</strong> SZ model contacts will behonored. The f<strong>in</strong>al maps <strong>of</strong> <strong>in</strong>tr<strong>in</strong>sic permeability and sorption coefficient will reflect heterogeneitydue to <strong>the</strong> geometry <strong>of</strong> determ<strong>in</strong>istic layers as well as heterogeneity with<strong>in</strong> <strong>the</strong> layers. The s<strong>of</strong>twareused <strong>in</strong> this subtask has already been through QA. The generated permeability data will be recordedon CDROMS and managed accord<strong>in</strong>g to QAP-3.6.This subtask will be conducted dur<strong>in</strong>g October 1, 2000 to March 30, 2001.Subtask 4. Numerical Code DevelopmentIn this study, we will develop a 3-D numerical code to calculate solute flux mean and variance <strong>in</strong><strong>the</strong> nonstationary flow field. The developed code will be sent to DOE Yucca Mounta<strong>in</strong> <strong>of</strong>fice forQA check<strong>in</strong>g before use <strong>in</strong> quality-affect<strong>in</strong>g calculations. The code will be written <strong>in</strong> FORTRANlanguage. The code development will be conducted under QAP-3.2.This subtask will be conducted dur<strong>in</strong>g two periods: October 1 2000 to June 30, 2001 forconservative chemical transport, and October 1, 2001 to December 31, 2001 for reactive chemicaltransport.Subtask 5. AnalysisThe codes developed <strong>in</strong> subtask 3 and 4 will be used to conduct numerical calculation forconductivity distribution and solute transport prediction <strong>in</strong> accordance with QAP-3.3, “Analysis and


Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 5 <strong>of</strong> 7f<strong>in</strong>al technical report. Data result<strong>in</strong>g from this study will be submitted to <strong>the</strong> Technical DataManagement System <strong>in</strong> accordance with QAP-3.6. SIP must be complete and approved beforestart<strong>in</strong>g <strong>the</strong> relevant quality-affect<strong>in</strong>g work.8.0 VERIFICATION AND REVIEWSInternal verification <strong>of</strong> all data will be performed to check compliance to procedures and to verify<strong>the</strong> accuracy <strong>of</strong> data reduction. Internal technical review will be performed and documented asdata, scientific notebooks and deliverables generated <strong>in</strong> this task. Any report <strong>of</strong> generated datawithout full <strong>in</strong>ternal verification will be labeled as prelim<strong>in</strong>ary data. Technical reports and o<strong>the</strong>rproducts will be reviewed <strong>in</strong> accordance with QAP-3.5, “Technical Product Review.” Scientificnotebooks will be reviewed <strong>in</strong> accordance with QAP-3.0, “Scientific Investigation Control.” Anypublications, presentations, etc., that will provide data or technical <strong>in</strong>formation to <strong>the</strong> public will bereviewed <strong>in</strong> accordance with IPLV-025, “Publication Review, Approval, and Distribution.”9.0 SOFTWAREOne numerical code for chemical transport prediction will be developed <strong>in</strong> this task. The s<strong>of</strong>twaredevelopment and implement will be conducted <strong>in</strong> accordance with QAP-3.2, “S<strong>of</strong>twareManagement.” The s<strong>of</strong>tware packages that may be used <strong>in</strong> this study <strong>in</strong>clude:• Micros<strong>of</strong>t Word: prepar<strong>in</strong>g documents and reports• Micros<strong>of</strong>t Power Po<strong>in</strong>t: prepar<strong>in</strong>g presentations• Micros<strong>of</strong>t Excel: tabulation, figure draft<strong>in</strong>g and analysis <strong>of</strong> data*• Tecplot, version 7.5: Graphic display <strong>of</strong> quantitative data• Compaq Visual Fortran, versions 6.0, 6.1, 6.5: compilation <strong>of</strong> Fortran source code• Surfer, version 7.0: <strong>in</strong>terpolation <strong>of</strong> model surfaces between exist<strong>in</strong>g model po<strong>in</strong>ts, graphicdisplay• GSLIB, 2 nd Edition: Geostatistical library written <strong>in</strong> Fortran 77• MathCad, version 8.0: analysis <strong>of</strong> data**any developed macros will be qualified as a rout<strong>in</strong>e <strong>in</strong> accordance with QAP-3.210.0 INTERFACE CONTROLSThe personnel <strong>in</strong>volved <strong>in</strong> this task are listed below:Internal InterfacesPI: Xiaolong (Bill) Hu, PH.DInvestigator: Roko Andricevic, Ph.DInvestigator: Craig Shirley, M.S.


Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 6 <strong>of</strong> 7Investigator: Jichun Wu, Ph.DTechnical: Tammy KluesnerExternal InterfacesYucca Mounta<strong>in</strong> Cooperative Agreement Technical Contact: Max PowellDOE Technical Task Representative: Drew ColemanSandia National Laboratories: Sean A. McKenna, Ph.D, Technical contact regard<strong>in</strong>g previoushydrogeological characterization work.Los Alamos National Laboratories: George A. Zyvoloski, Ph.D, Coord<strong>in</strong>ation to ensurecompatibility with ongo<strong>in</strong>g LANL model<strong>in</strong>g efforts.Los Alamos National Laboratories: Dongxiao Zhang, Ph.D, Collaborator on <strong>the</strong>oreticaldevelopment.11.0 OTHER REQUIREMENTSCollaboration with Dr. Xian-Huan Wen <strong>of</strong> Chevron Research Laboratories on <strong>the</strong>oreticaldevelopment and enhancement <strong>of</strong> a currently unqualified two dimensional research code toqualified three dimensional code is anticipated cont<strong>in</strong>gent upon approval <strong>of</strong> fund<strong>in</strong>g. A subcontractwith Dr. Wen will be developed after fund<strong>in</strong>g approval, and at that time he will be scheduled forQAP tra<strong>in</strong><strong>in</strong>g.All data be<strong>in</strong>g used as <strong>in</strong>put <strong>in</strong> <strong>the</strong> study consists <strong>of</strong> measurements previously made by o<strong>the</strong>r<strong>in</strong>vestigators and ei<strong>the</strong>r have been accepted <strong>in</strong>to <strong>the</strong> site technical database or published <strong>in</strong> peerreviewed journals. No samples are be<strong>in</strong>g taken or used <strong>in</strong> this study. The sources <strong>of</strong> all data whichwill be used <strong>in</strong> <strong>the</strong> study will be recorded <strong>in</strong> <strong>the</strong> scientific notebook and described <strong>in</strong> <strong>the</strong> f<strong>in</strong>al report.It is be<strong>in</strong>g assumed that data from <strong>the</strong> site technical database is correct; confirmation <strong>of</strong> <strong>the</strong>accuracy, precision and representativeness <strong>of</strong> <strong>the</strong>se measurements is outside <strong>of</strong> <strong>the</strong> scope <strong>of</strong> thisstudy.A suite <strong>of</strong> verification test exercises, for which <strong>analytical</strong> solutions are known, will be used toconfirm <strong>the</strong> accuracy <strong>of</strong> <strong>the</strong> numerical method as implemented <strong>in</strong> <strong>the</strong> source code be<strong>in</strong>g developed.Any deviations from <strong>the</strong> <strong>analytical</strong> solutions will be evaluated and described. All study activitiesand results, <strong>in</strong>clud<strong>in</strong>g <strong>in</strong>put, parameter selection and computational results will be entered <strong>in</strong>to <strong>the</strong>scientific notebook. Due to <strong>the</strong> large volume <strong>of</strong> numeric output anticipated <strong>in</strong> a study <strong>of</strong> this type,much <strong>of</strong> <strong>the</strong> output and results will take <strong>the</strong> form <strong>of</strong> electronic media (CDROM’s) which will becited <strong>in</strong> <strong>the</strong> scientific notebook.


Title: <strong>Semi</strong>-<strong>analytical</strong> <strong>Stochastic</strong> <strong>Study</strong> <strong>of</strong> <strong>Radionuclide</strong> <strong>Transport</strong> <strong>in</strong> <strong>the</strong> Saturated ZoneBelow Yucca Mounta<strong>in</strong>Document No.: SIP-DRI-016/Rev. 0 Page 7 <strong>of</strong> 712.0 REFERENCESQAP-2.0, “Quality Assurance Program-Preparation, Approval, and Revision <strong>of</strong> Procedures.”QAP-3.0 “Scientific Investigation Control.”QAP-3.2, “S<strong>of</strong>tware Management.”QAP-3.3, “Analyses and Models.”QAP-3.4, “Technical Product Review.”QAP-3.5, “Technical Product Review.”QAP-3.6, “Submittal <strong>of</strong> Data to <strong>the</strong> Technical Data Management System”QAP-17.0, “Quality Assurance Records.”IPLV-025, “Publication Review, Approval, and Distribution”

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