Plume Mapping

Geostatistical methods such as kriging are frequently used to characterize the contaminant plume and estimate the concentration distribution, contaminant mass and volume. 3D kriging included in GWD provides easy to use and robust geostatistical tools to:

  • Create and visualize 3D plumes
  • Calculate mass and volume of plumes at different concentration thresholds
  • Perform 3D kriging directly on Modflow grids to generate MT3D initial concentrations
  • If the input dataset contains the multiple monitoring events, the kriging input data can be grouped into events in which case multi event kriging is performed

GWD supports four kriging types:

  • Ordinary,
  • Simple,
  • Ordinary with Drift (Universal) and
  • Non-Stationary simple kriging (background drift).

and two common data transformations:

  • Logarithmic and
  • Quantile (or Rank).

When kriging method that incorporate a background trend is selected, MT3D calculated concentrations can be used as an external drift.

Variogram modeling and visualizations

Multi monitoring event variograms.

The 3D kriging is often used for generating MT3D Intial Concentrations. It is uncommon that most of the time kriging is performed on the regular grid then reinterpolated to the model grid. To overcome that intermediate step, GWD can use Modflow grid for kriging and export kriging results into formats ready for use in the MT3D. If the Modflow grid is chosen as a grid type, an option to use the Modflow calculated water table is available to limit the kriging to those cells below this surface.

3D kriging outputs are visualized as 3D grids in case of kriging on Modflow grid and volumes or 3D contours when regular kriging grid is used. All output types can be subset using the cross-sectional, cut-away, fence views.


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