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Environmental Management
Modeling Activities at Los Alamos
National Laboratory (LANL)
Velimir V Vesselinov1, Danny Katzman2, Kay Birdsell1
David Broxton1, Phil Stauffer1, Dylan Harp1, Terry Miller1
1 Computational Earth Sciences (EES-16) , Earth and Environmental Sciences (EES),
2 Environmental Programs,
Los Alamos National Laboratory, Los Alamos, NM
Department of Energy Technical Exchange Meeting
Performance Assessment Community of Practice
Hanford, April 13-14, 2010
LA-UR 10-02613
Summary
 Importance of groundwater at Los Alamos
Regional hydrogeology
 Contaminant sources and Material Disposal Areas
 History of groundwater-related Work at LANL
 General facility monitoring (1949-1998; 12 wells)
 Hydrogeologic Work Plan (1998-2005; 25 wells)
 Provided framework for characterization of facility-scale
hydrogeology (Synthesis report, 2005)
 Consent Order (since 2005; > 20 wells)
 Site specific investigations targeted toward decision making
 Modeling activities related to Environmental
Management
low
high
Basin recharge
LANL & Espanola basin
LANL
low
high
water-supply
wells
Regional and Intermediate wells at LANL
Groundwater at LANL
Groundwater is key to
environmental management and
selection of remedial alternatives
Interconnected hydrogeologic
zones:
Alluvial groundwater (canyon
bottoms)
Perched-intermediate
groundwater
Regional groundwater
(complex basin-scale aquifer
used for water supply of ~200,000
residents)
Discharges to Rio Grande
(major downstream community of
Albuquerque 600,000 residents)
Surface Water
Important characteristics:
 Thick vadose zone with perching
horizons (flow is not strictly vertical)
 Low infiltration under mesas, higher
transient infiltration under canyons
 Highly heterogeneous media
including interfingered fractured and
porous units
 Water-supply wells located close to
contaminant sources
Consent Order
Compliance Order on Consent between
LANL and New Mexico Environment
Department (NMED):
 Regulatory framework for
Environmental Management and
Corrective Actions
 Requires completion by 2015
 Groundwater is key to selection of
remedial alternatives (concentrations
anywhere in the aquifer should be
below MCL’s)
Highlights:
 Initially NMED and stakeholders had
major issues with application of models
for Environmental Management
 Regular technical interactions between
LANL, NMED, stakeholders
 Currently there is good acceptance of
model utilization and model results
Modeling Activities
Various models have been applied for EM:
Scale and resolution: basin, LANL-site, canyon,
contamination-site
Dimensionality: 1-3D; steady-state/transient
Simulated processes: subsurface multi-phase flow, multi-
component transport, geochemical reactions, soluble and
vapor-phase contaminants, erosion, biotic intrusion, surface
flow and sediment transport, air transport, …
Complexity: system/process
Purpose:
 characterization
 (model-based) decision support
 driven by performance and risk
 performed using process models using advanced
model-analysis tools
Modeling Activities
Critical aspects of modeling activities:
traceability and bookkeeping (bottleneck): conceptual
and numerical model assumptions; data sources;
references; expert knowledge; inputs from stakeholders
and regulators; version control
automated data import (from MySQL database into the models)
computational efficiency (parallelization, model reduction,
efficient techniques for simulation and model analysis)
script-based model coupling and pre-/post-processing
Data
 More than 180 monitoring wells (including >55 regional wells)
 More than 640 monitoring locations (well screens, gages,
springs …)
 More than 600 geochemical analytes
 More than 800,000 geochemical data entries
 7 water-supply wells in close vicinity (LANL, Los Alamos)
 More than 20 water-supply wells close by (Santa Fe, Pueblos,
residential)
 More than 3,500,00 water-level observations
 More than 70,000 daily pumping records associated with
water-supply wells
 Most of the information is available online and is updated
several times each month http://racerdat.com/
Examples of Modeling Work at LANL
 Characterization
 conceptual model testing, evaluation and ranking
 estimation of aquifer-parameter heterogeneity
 nature and extent of contaminant plumes
 source identification (location of contaminant arrival)
 Decision Support (model-based decision
support driven by performance and risk)
 evaluation and optimization of characterization
activities
 evaluation and optimization of monitoring network
 evaluation and optimization of remedial activities
 performance/risk assessment, composite analyses
Models
Chromium (Sandia Canyon) Project
Mortandad Canyon
R-42 is placed based on
previous model analyses
for decision support
Conceptual cross-section of Chromium
migration beneath Sandia Canyon
Numerical modeling of flow and transport in
the regional aquifer near Sandia Canyon
Current best estimate of
the chromium
concentrations (>50 ppb;
New Mexico standard)
along the regional water
table
Regional aquifer
water table (0.1 m
contours)
Direction of the
groundwater flow in the
regional aquifer based on
hydraulic gradients
Cr [ppb]
The numerical model is
capturing current
conceptual understanding
and calibrated against
existing data (taking into
account uncertainties)
Regardless of existing
uncertainties, the model
provide information
related to:
spatial distribution of
contaminant mass,
contaminant flux to the
regional aquifer,
monitoring-network
design, and
environmental risk
Sandia Canyon
Mortandad Canyon
Numerical model of
flow and transport
beneath Sandia
Canyon
Sandia
Canyon
Mortandad
Canyon
Water
saturation
Advective
flowpaths
Model predictions of the chromium plume in
the regional aquifer near Sandia Canyon
 Due to uncertainties, a series of alternative models (plumes) are plausible
 Model predictions are constrained by all the available regional-aquifer data
(hydrogeological and geochemical)
Some of the plausible
chromium plumes with
concentrations > 50 ppb (New
Mexico standard)
Uncertainty in transport directions
is due to uncertainty in flow
directions and aquifer anisotropy
Plausible contaminant-arrival locations
The source-identification problem is ill-posed:
 substantial prior uncertainties,
 large number of unknown parameter,
 limited amount of observation data,
 model complexity and non-linearity
allow for multiple plausible solutions of the inverse problem
The estimation of the potential locations of
contaminant arrival (source identification)
requires on the order of 105 to 106 model
executions.
These results are consistent with
previous model analyses for
decision support
Average contaminant concentrations taking
into account uncertainties in contaminant
flow and transport
New monitoring well (R-50) is proposed to
improve detection and protection efficiency
of the monitoring network.
5837
5838
5839
5849
5850
5851
5852
5838
5839
5840
Raw data
Baro corrected
R-11
Elevation,ft
R-15
R-28
Water Levels vs. Pumping Records
 Identification of water-supply wells
causing observed water-level
fluctuations
 Estimation of effective aquifer properties
and their spatial distribution
These results are important for
contaminant fate and transport in the
regional aquifer 0
2500
5000
0
2500
5000
7500
10000
0
2500
5000
7500
10000
0
2500
5000
7500
10000
0
2500
5000
7500
0
1000
2000
3000
10/1/2004 4/1/2005 10/1/2005 4/1/2006 10/1/2006 4/1/2007 10/1/2007
0
2500
5000
7500
10000
PM-1
PM-2
PM-3
Dailyproductionvolumes,gallons
PM-4
PM-5
O-1
O-4
Chromium site
(Sandia Canyon)
Water-supply wells
Monitoring wells
TA-16: CME
Models are applied to evaluate
environmental risk, select
remedies, and optimize the
monitoring network
TA-54 MDA G: Performance Assessment and
Composite Analysis
 Operating site since 1957
 Radioactive waste
 100 Acres, 35 pits, 200+ shafts
Erosion and Sediment
Transport
TA-54 MDA G: Natural transport processes for
disposed wastes
Biotic Intrusion
Plant roots and burrowing
animals
Groundwater Transport
Deep vadose zone and regional aquifer
Atmospheric
Transport
Subsurface Vapor-Phase
Transport
Tritium, radon, C-14 gas,
krypton
TA-54 MDA G: Modeling approach for Performance
Assessment and Composite Analysis
3D flow and
transport
model
with 8
disposal
regions is
applied to
estimate
abstracted
1D flow path
models
Erosion and Sediment
Transport (SIBERIA):
3D model estimates
cover thickness vs time
TA-54 MDA G: Modeling approach for Performance
Assessment and Composite Analysis
Atmospheric Dispersion
(CALPUFF) : Complex
terrain model estimates
contaminant deposition
rates
Diffusive Transport (GoldSim):
Model predicts fluxes of vapor-
and gas-phase radionuclides at
ground surface
Infiltration (HYDRUS):
Model predicts spatial
distribution of infiltration
rates
Groundwater Flow and
Transport (FEHM): 3D
model used to develop 1D
process-model abstraction
for use in the system
model
System Model (GoldSim)
 Integrates results from process models
 Estimates potential radiation doses received by humans
Biotic Intrusion (GoldSim):
Model predicts rates of
contaminant deposition on
facility surface following
root and burrow penetration
into waste
 Baseline risk assessment at
MDA T uses MDA G PA/CA
approach
 MDA T: former radioactive
waste disposal site (1945-
1974)
 Proposed as an ASCEM
demo site for actinide
transport: oldest actinide
site, good amount of
collected data, significant
rad inventory, complex flow
& transport (fractures,
colloids), liquid and
cementitious waste
TA-21 MDA T: Baseline risk assessment
TA-54
Areas Encompassed by Network Evaluations
Monitoring Network Evaluations
Monitoring network analyses require
on the order of 103 to 104 model
executions per site. Currently more
than 40 sites are analyzed.
Monitoring Network Evaluations are based on Monte-Carlo quantification of
uncertainties. The goal is to achieve 95% detection and protection efficiency of
potential plumes in regional aquifer.
Some of the wells proposed by network
evaluations
Conclusions
 LANL is a complex site for environmental
management
 series of contaminant sources and disposal areas with long
operational records, data collection history, and site studies
 thick vadose zone with perching horizons
 infiltration rates exhibit strong spatial and temporal variability
 highly heterogeneous geologic medium with interfingered fractured
and porous units
 water-supply wells located in close vicinity to contaminant sources
 active regulators and stakeholders
 Groundwater is key to environmental management
and selection of remedial alternatives
 Models with different complexity (process/system)
are applied for environmental management and
decision making
Contact info:
Danny Katzman, katzman@lanl.gov
• LANL Environmental Programs: Program Manager
Velimir V Vesselinov (monty), vvv@lanl.gov
• LANL Environmental Programs: PI for “Flow and Transport Modeling”
• ASCEM: Task Lead of “Decision Support”
Kay Birdsell, khb@lanl.gov
• LANL Environmental Programs: Earth and Environmental Sciences
(EES) Point of Contact
David Broxton, broxton@lanl.gov
• LANL Environmental Programs: PI for “Geology and Geophysics”

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Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL)

  • 1. Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL) Velimir V Vesselinov1, Danny Katzman2, Kay Birdsell1 David Broxton1, Phil Stauffer1, Dylan Harp1, Terry Miller1 1 Computational Earth Sciences (EES-16) , Earth and Environmental Sciences (EES), 2 Environmental Programs, Los Alamos National Laboratory, Los Alamos, NM Department of Energy Technical Exchange Meeting Performance Assessment Community of Practice Hanford, April 13-14, 2010 LA-UR 10-02613
  • 2. Summary  Importance of groundwater at Los Alamos Regional hydrogeology  Contaminant sources and Material Disposal Areas  History of groundwater-related Work at LANL  General facility monitoring (1949-1998; 12 wells)  Hydrogeologic Work Plan (1998-2005; 25 wells)  Provided framework for characterization of facility-scale hydrogeology (Synthesis report, 2005)  Consent Order (since 2005; > 20 wells)  Site specific investigations targeted toward decision making  Modeling activities related to Environmental Management
  • 3. low high Basin recharge LANL & Espanola basin LANL
  • 7. Groundwater at LANL Groundwater is key to environmental management and selection of remedial alternatives Interconnected hydrogeologic zones: Alluvial groundwater (canyon bottoms) Perched-intermediate groundwater Regional groundwater (complex basin-scale aquifer used for water supply of ~200,000 residents) Discharges to Rio Grande (major downstream community of Albuquerque 600,000 residents) Surface Water Important characteristics:  Thick vadose zone with perching horizons (flow is not strictly vertical)  Low infiltration under mesas, higher transient infiltration under canyons  Highly heterogeneous media including interfingered fractured and porous units  Water-supply wells located close to contaminant sources
  • 8. Consent Order Compliance Order on Consent between LANL and New Mexico Environment Department (NMED):  Regulatory framework for Environmental Management and Corrective Actions  Requires completion by 2015  Groundwater is key to selection of remedial alternatives (concentrations anywhere in the aquifer should be below MCL’s) Highlights:  Initially NMED and stakeholders had major issues with application of models for Environmental Management  Regular technical interactions between LANL, NMED, stakeholders  Currently there is good acceptance of model utilization and model results
  • 9. Modeling Activities Various models have been applied for EM: Scale and resolution: basin, LANL-site, canyon, contamination-site Dimensionality: 1-3D; steady-state/transient Simulated processes: subsurface multi-phase flow, multi- component transport, geochemical reactions, soluble and vapor-phase contaminants, erosion, biotic intrusion, surface flow and sediment transport, air transport, … Complexity: system/process Purpose:  characterization  (model-based) decision support  driven by performance and risk  performed using process models using advanced model-analysis tools
  • 10. Modeling Activities Critical aspects of modeling activities: traceability and bookkeeping (bottleneck): conceptual and numerical model assumptions; data sources; references; expert knowledge; inputs from stakeholders and regulators; version control automated data import (from MySQL database into the models) computational efficiency (parallelization, model reduction, efficient techniques for simulation and model analysis) script-based model coupling and pre-/post-processing
  • 11. Data  More than 180 monitoring wells (including >55 regional wells)  More than 640 monitoring locations (well screens, gages, springs …)  More than 600 geochemical analytes  More than 800,000 geochemical data entries  7 water-supply wells in close vicinity (LANL, Los Alamos)  More than 20 water-supply wells close by (Santa Fe, Pueblos, residential)  More than 3,500,00 water-level observations  More than 70,000 daily pumping records associated with water-supply wells  Most of the information is available online and is updated several times each month http://racerdat.com/
  • 12. Examples of Modeling Work at LANL  Characterization  conceptual model testing, evaluation and ranking  estimation of aquifer-parameter heterogeneity  nature and extent of contaminant plumes  source identification (location of contaminant arrival)  Decision Support (model-based decision support driven by performance and risk)  evaluation and optimization of characterization activities  evaluation and optimization of monitoring network  evaluation and optimization of remedial activities  performance/risk assessment, composite analyses
  • 14. Chromium (Sandia Canyon) Project Mortandad Canyon R-42 is placed based on previous model analyses for decision support
  • 15. Conceptual cross-section of Chromium migration beneath Sandia Canyon
  • 16. Numerical modeling of flow and transport in the regional aquifer near Sandia Canyon Current best estimate of the chromium concentrations (>50 ppb; New Mexico standard) along the regional water table Regional aquifer water table (0.1 m contours) Direction of the groundwater flow in the regional aquifer based on hydraulic gradients Cr [ppb] The numerical model is capturing current conceptual understanding and calibrated against existing data (taking into account uncertainties) Regardless of existing uncertainties, the model provide information related to: spatial distribution of contaminant mass, contaminant flux to the regional aquifer, monitoring-network design, and environmental risk Sandia Canyon Mortandad Canyon
  • 17. Numerical model of flow and transport beneath Sandia Canyon Sandia Canyon Mortandad Canyon Water saturation Advective flowpaths
  • 18. Model predictions of the chromium plume in the regional aquifer near Sandia Canyon  Due to uncertainties, a series of alternative models (plumes) are plausible  Model predictions are constrained by all the available regional-aquifer data (hydrogeological and geochemical) Some of the plausible chromium plumes with concentrations > 50 ppb (New Mexico standard) Uncertainty in transport directions is due to uncertainty in flow directions and aquifer anisotropy
  • 19. Plausible contaminant-arrival locations The source-identification problem is ill-posed:  substantial prior uncertainties,  large number of unknown parameter,  limited amount of observation data,  model complexity and non-linearity allow for multiple plausible solutions of the inverse problem The estimation of the potential locations of contaminant arrival (source identification) requires on the order of 105 to 106 model executions. These results are consistent with previous model analyses for decision support
  • 20. Average contaminant concentrations taking into account uncertainties in contaminant flow and transport New monitoring well (R-50) is proposed to improve detection and protection efficiency of the monitoring network.
  • 21. 5837 5838 5839 5849 5850 5851 5852 5838 5839 5840 Raw data Baro corrected R-11 Elevation,ft R-15 R-28 Water Levels vs. Pumping Records  Identification of water-supply wells causing observed water-level fluctuations  Estimation of effective aquifer properties and their spatial distribution These results are important for contaminant fate and transport in the regional aquifer 0 2500 5000 0 2500 5000 7500 10000 0 2500 5000 7500 10000 0 2500 5000 7500 10000 0 2500 5000 7500 0 1000 2000 3000 10/1/2004 4/1/2005 10/1/2005 4/1/2006 10/1/2006 4/1/2007 10/1/2007 0 2500 5000 7500 10000 PM-1 PM-2 PM-3 Dailyproductionvolumes,gallons PM-4 PM-5 O-1 O-4 Chromium site (Sandia Canyon) Water-supply wells Monitoring wells
  • 22. TA-16: CME Models are applied to evaluate environmental risk, select remedies, and optimize the monitoring network
  • 23. TA-54 MDA G: Performance Assessment and Composite Analysis  Operating site since 1957  Radioactive waste  100 Acres, 35 pits, 200+ shafts
  • 24. Erosion and Sediment Transport TA-54 MDA G: Natural transport processes for disposed wastes Biotic Intrusion Plant roots and burrowing animals Groundwater Transport Deep vadose zone and regional aquifer Atmospheric Transport Subsurface Vapor-Phase Transport Tritium, radon, C-14 gas, krypton
  • 25. TA-54 MDA G: Modeling approach for Performance Assessment and Composite Analysis 3D flow and transport model with 8 disposal regions is applied to estimate abstracted 1D flow path models
  • 26. Erosion and Sediment Transport (SIBERIA): 3D model estimates cover thickness vs time TA-54 MDA G: Modeling approach for Performance Assessment and Composite Analysis Atmospheric Dispersion (CALPUFF) : Complex terrain model estimates contaminant deposition rates Diffusive Transport (GoldSim): Model predicts fluxes of vapor- and gas-phase radionuclides at ground surface Infiltration (HYDRUS): Model predicts spatial distribution of infiltration rates Groundwater Flow and Transport (FEHM): 3D model used to develop 1D process-model abstraction for use in the system model System Model (GoldSim)  Integrates results from process models  Estimates potential radiation doses received by humans Biotic Intrusion (GoldSim): Model predicts rates of contaminant deposition on facility surface following root and burrow penetration into waste
  • 27.  Baseline risk assessment at MDA T uses MDA G PA/CA approach  MDA T: former radioactive waste disposal site (1945- 1974)  Proposed as an ASCEM demo site for actinide transport: oldest actinide site, good amount of collected data, significant rad inventory, complex flow & transport (fractures, colloids), liquid and cementitious waste TA-21 MDA T: Baseline risk assessment
  • 28. TA-54 Areas Encompassed by Network Evaluations Monitoring Network Evaluations Monitoring network analyses require on the order of 103 to 104 model executions per site. Currently more than 40 sites are analyzed. Monitoring Network Evaluations are based on Monte-Carlo quantification of uncertainties. The goal is to achieve 95% detection and protection efficiency of potential plumes in regional aquifer.
  • 29. Some of the wells proposed by network evaluations
  • 30. Conclusions  LANL is a complex site for environmental management  series of contaminant sources and disposal areas with long operational records, data collection history, and site studies  thick vadose zone with perching horizons  infiltration rates exhibit strong spatial and temporal variability  highly heterogeneous geologic medium with interfingered fractured and porous units  water-supply wells located in close vicinity to contaminant sources  active regulators and stakeholders  Groundwater is key to environmental management and selection of remedial alternatives  Models with different complexity (process/system) are applied for environmental management and decision making
  • 31. Contact info: Danny Katzman, katzman@lanl.gov • LANL Environmental Programs: Program Manager Velimir V Vesselinov (monty), vvv@lanl.gov • LANL Environmental Programs: PI for “Flow and Transport Modeling” • ASCEM: Task Lead of “Decision Support” Kay Birdsell, khb@lanl.gov • LANL Environmental Programs: Earth and Environmental Sciences (EES) Point of Contact David Broxton, broxton@lanl.gov • LANL Environmental Programs: PI for “Geology and Geophysics”