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" Dermal contact
" External (radioactive)
" Food consumption
" Combined Exposure
3.1.4.1.4 Geospatial Analysis
Several tools are provided in SADA for performing a geospatial analysis. These tools include
methods for measuring spatial correlation among data, modeling spatial correlation, and producing
concentration, risk, probability, variance, and cleanup maps. Among these tools are four geospatial
interpolators: ordinary kriging, indicator kriging, inverse distance, and nearest neighbor. Using these
tools the user has access to concentration contour maps, probability maps, risk maps, and remedial
design maps.
3.1.4.1.5 Decision Analysis
SADA's decision support tools include the following applications:
Cost/Benefit
SADA produces cost benefit curves that demonstrate the relationship between the cleanup
goal (concentration or risk based) and the cost of remediation.
Area of Concern
Based on the decision rule, SADA estimates the location of areas of concern. The decision
rule includes components such as the cleanup goal, the level of confidence, and whether the goal
applies to the entire site or any part of the site. These areas of concern can then serve as a basis for
remedial action design.
Sampling Designs
SADA allows the user to choose from a variety of strategies for determining where to collect
data in the next round of sampling. Depending on the geospatial interpolator chosen, the following
strategies are available.
Adaptive Fill
This approach is designed to spatially fill the gaps among existing data with new data points.
This approach identifies the locations, which are yet unsampled and are the farthest from any other
data point. These become the suggested locations for new samples. This method is the easiest to use
and is independent of the geospatial interpolator chosen.
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Sullivan, Terry & Armstrong, Anthony. Decision support software technology demonstration plan, report, September 1, 1998; Upton, New York. (https://digital.library.unt.edu/ark:/67531/metadc712499/m1/35/: accessed July 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.