SmartSampling Project Protocols at Mound


SmartSampling at Mound


SmartSampling Home Page


Bibliography


Technical Papers


Related Websites

SmartSampling Training Syllabus

DRAFT training materials for individual sections may be opened
or downloaded in pdf format by clicking on the section title.

Introduction and Overview: Decision Makers and Technical Staff
Concepts and principals behind SmartSampling
Sorts of problems addressed by this process
Review of tools required and terms used (glossary provided)
Ways to use this process
Objective Function
False positive, false negative
Conceptual process flow
Section 1 - Illustrated case study: Technical Staff
In-Depth Review of outputs of the process
Section 2 - Exploratory Data Analysis: Technical Staff
Mapping of the data set
Histogram techniques
Probability-plotting techniques
Correlation between multivariate data
Data transformations logarithmic indicator rank-order normal-score uniform-score
Trend Analysis / Removal
Section 3 - Quantification of Spatial Continuity: Technical Staff
Calculation of experimental variograms
Fitting models to experimental variograms
Bi-gaussian check
Concepts of anisotropy and nested structures in variograms
Other techniques for defining spatial variability
indicator
co-variance (relationship to semi-variance)
Hands-on exercise using software for calculation & modeling of variograms
Incorporation of subjective knowledge into modeling of variograms
Section 4 - Spatial Estimation: Technical Staff
Review of techniques for spatial estimation
nearest neighbor polygons
inverse distance to a power
trend surface
splines
kriging
Concept of a “best” linear unbiased estimate
Hand calculations to solve the kriging system on a small example data set
Hands-on exercise using kriging software on example data set
Indicator kriging, probability kriging
Explanation of kriging variance
Checking of kriging output
Section 5 - Spatial Simulation: Technical Staff
Difference between estimation and simulation
Basics of probabilistic risk assessment
Transfer of uncertainty in spatial distribution to uncertainty in decision making
Review an example spatial simulation
Hands-on exercise using software to create simulations
Process realizations to test the model - is the input reproduced?
Section 6 - Probability and Excavation Mapping: Technical Staff
Concept of probability of exceedence
Concept of probability mapping
Incorporation of spatial uncertainty in remediation maps
Cross validation (additional data)
Estimation vs. Simulation in probability mapping
Hands-on exercise using software to create probability maps
Introduce Independent Work
Problem and data set for independent solution
Initiate analysis
Break for Independent Analysis of site-specific data set

Section 7 - Economic Analyses: Technical Staff

Cost elements, Cost assumptions

Basis of cost/benefit analyses in decisions involving spatial uncertainty

Objective function

Loss functions and their effects on decisions (how cost of failure is calculated)

Linear loss function

Squared loss function

Data worth and determination of # and location of additional samples

Ranking of potential additional sampling sites

Probabilistic calculations in re regulatory action levels

Cost calculations in re probability of exceedence levels

Economic risk / Human health risk

Section 8 - Scaling Issues: Technical Staff

Measurement and remediation scales

Case study - review of effects of scale discrepancy

Analytic techniques to address scale discrepancies

Numerical techniques to address scale discrepancies

Block kriging

Averaging

Hands-on exercise to apply scaling, create cost and inventory curves

Section 9 - Independent Analysis Results: Technical Staff

Review of independent analyses

Discussion of model variation

Model Validation Exercises

Generation of Cost and Inventory curves

Section 10 - Summary/Wrap-Up: Decision Makers and Technical Staff

Solutions presented to managers and stakeholders from opening session

Results of process

review output

defensibility of plans generated by process

Next Steps

Smart Sampling was developed with major support from the U. S. Department of Energy's Office of Science and Technology.

Contact: Sean McKenna Sandia National Laboratories, 505-284-2450
Contact: Anthony Armstrong Oak Ridge National Laboratories, 423-576-1555