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VARIOGRAPHY AND CONDITIONAL SEQUENTIAL SIMULATION: NEW TOOLS FOR ECOLOGICAL MONITORING
Citation:
Flatman, G. VARIOGRAPHY AND CONDITIONAL SEQUENTIAL SIMULATION: NEW TOOLS FOR ECOLOGICAL MONITORING. U.S. Environmental Protection Agency, Washington, D.C., EPA/600/A-92/206.
Description:
The Superfund reauthorization Act requires an ecological impact statement as part of each site assessment. his is difficult because of the hierarchical multiple dimensionality of ecosystems and becaus of the limited time and resources for the site's monitoring and evaluation. he semivariogram of Kriging is a summary function of diversity with several useful statistics (e.g., nugget, sill, range of correlation, fractal index (Hausdorff index)). calar indexes of diversity represent only structure between nearest neighbors while the directional semivariograms as a function of lag represent anisotropic structure over the area covered by the data. t best monitoring a hazardous waste site is an uncontrolled experiment taking snapshots of a dynamic space-time system; therefore, the data have extraneous signals that must be treated as noise and too few samples for the multi-dimensionality and noise. or these reasons conventional inferential analyses may give misleading output. onditional sequential simulation is a more meaningful analysis for the Superfund decision makers; it can give them visual outputs (isopleth maps) of the best-case, median-case, and worst-case realizations based on the data.