Calibration and Reliability in Groundwater Modelling: Credibility of Modelling

(Proceedings of ModelCARE 2007 Conference, held in Denmark, September 2007). IAHS Publ. 320, 2008, 3-8.

 

On the geostatistical characterization of hierarchical media

 

SHLOMO P. NEUMAN1, MONICA RIVA2 & ALBERTO GUADAGNINI2

1 Department of Hydrology and Water Resources, University of Arizona, Tucson, Arizona 85721, USA

neuman@hwr.arizona.edu

2 DIIAR, Politecnico di Milano, Piazza L. Da Vinci 32, 20133 Milano, Italy

 

Abstract The subsurface exhibits hierarchical structures with multiscale hydraulic and transport properties. The structure and properties are often well characterized by stationary variograms. We propose that the latter is an artefact of sampling over finite windows, which disappears when one uses truncated power variograms (TPVs). We cite evidence that parameters of traditional stationary variograms vary with support and window scales; demonstrate the ability of TPVs to capture these scale variations; show that stationary variograms are often difficult to distinguish from TPVs; note that TPVs are unique in their ability to represent multiscale random fields having either Gaussian or heavy-tailed symmetric Levy stable probability distributions; detail the way in which TPVs allow conditioning on multiscale measurements via co-kriging; and illustrate these capabilities on multiscale hydraulic data from TŸbingen, Germany.

 

Key words  hierarchy; multiscale; fractal; variogram; exponential; power; cutoff; co-kriging; Gaussian; Levy stable