The FIELDS Tools provide a range of data analysis options. These options are broadly defined as sample design, database query, and data and decision analysis.
Sample design capabilities include the creation of statistically-based sample designs (random, stratified random, systematic grid, and unaligned grid) and the ability to upload these designs to a GPS unit in order to navigate to sample locations. The parameters used to create the sample design (e.g., number of sample locations, sample area, false negative values) are exported as a table that can be included in a report.
The FIELDS query tool can be used to query all results; the maximum result in 3-dimensions, the maximum result in 2-dimensions, and results by interval (e.g., 0-6 inches, 6-12 inches) either using a depth-weighted average algorithm or the maximum results per interval. The input data can be from a FIELDS-defined data table or imported from databases such as STORET, EQuIS, or NOAAs Query Manager database. If the input data has field names or types that do not match the FIELDS-defined data table format, an interactive GUI allows users to match their field names with the FIELDS-required names.
Data and Decision Analysis
The resulting queried data values can be used in the Human Health Risk or Ecological Risk Assessment modules. Each module meets U.S. EPA guidelines (RAGS and ERAGS) for risk assessment. In addition, the queried data can be contoured (interpolated) to create estimates at unsampled locations using Dr. Dave Watsons Natural Neighbor algorithm or ArcViews Inverse Distance Weighting (IDW) algorithm. The FIELDS Tools also includes a cross validation routine that generates root mean square errors (RMSE) of estimation for permutations of IDW parameters number of neighbors and power.
The contoured values can be used to estimate the mass of contaminant (e.g., pounds of PCB) and the volume of contaminated material (e.g., sediment > 10 ppm) using the Mass/Volume module. Finally, the FIELDS Tools includes a Remediation module that allows users to determine areas to remediate in order to meet a clean-up goal by remediation unit (called block-based remediation) or for the entire site (i.e., to meet an average concentration value for an entire area).