Abstract
Earlier studies have shown that indicator kriging provides reasonable estimates of the spatial distribution of hydraulic conductivity based on both quantitative ‘hard’ and qualitative ‘soft’ data. One crucial question is the optimal choice of threshold values which define the indicator variables. Another problem is to select a representative point estimator which extracts the most suitable K-value from the local cdf. Two methods to optimize this selection will be presented: a pure statistical cross check with measured data (i) and a verification of estimates by comparison with actual flow conditions (ii). The paper will illustrate these ideas by means of an actual data-set taken from pleistocene glacio-fluvial deposits in North Germany.
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References
Beyer, W. (1964): Zur Bestimmung der Wasserdurchlässigkeit von Kiesen und Sanden aus der Komverteilungskurve.-Wasserwirtsch.-Wassertechn. 14, pp. 165–168, Berlin.
Chiang, W. and W. Kinzelbach (1996): Procr_ssing Modflow, A simulation system for modeling groundwater flow and pollution.- user’s manual.
Deutsch, C.V. and A.G. Joumel (1992): GSLIB, Geostatistical Software Library and User’s Guide. Oxford University Press, New York.
Huggenberger, P., M. Rauber, F. Stauffer (1994): Integration of geophysical and sedimentological information in the stochastic description of inhomogeneities in fluvial gravel deposits.- in Dracos and Stauffer (eds.) Transport and Reactive Processes in Aquifers.- IAHR Proceedings 5, Balkema Rotterdam, Brookflield.
Joumel, A.G. (1989): Fundamentals of Geostatistics in Five Lessons.- Short Course in Geology, Vol. 8, AGU, Washington D.C., pp. 40.
Kemdorff, H., V. Brill, R Schleyer, P. Friesel, G. Milde (1985): Erfassung grundwassergefährdender Altablagerungen - Ergebnisse hydrogeochemischer Untersuchungen.- WaBoLu Hefte 5/1985, pp. 175, Berlin.
McDonald, M.C. and A.W. Harbaugh (1988): MODFLOW, A modular three-dimensional finite difference ground-water flow model.- U.S. Geological Survey, Open-file report, 83–875, Chapter Al.
Piotrowski, J.A., F. Bartels, A. Salski, G. Schmidt (1994): Fuzzy Kriging of imprecise hydrogeological data.-Abstract Volume for the Technical Programs at the International Meeting of IAMG, Mont Tremblant, Québec, Canada, October 3–5, 1994, 282–288.
Schafmeister, M.-Th. (1990): Geostatistische Simulationstechniken als Grundlage der Modellierung von Grundwasserströmung und Stofftransport in heterogenen Aquifersystemen.- PhD thesis, Verlag Schelzky & Jeep, pp. 143, Berlin.
Schafmeister, M.-Th. and H. Burger (1995): Merging quantitative and qualitative information as input to contaminant flow simulation: A case study.- Abstract Volume for the Technical Programs at the International Meeting of IAMG, Osaka, Japan, october 29- november 2, 1995, 43–45.
Schafmeister, M.-Th. & Gh. de Marsily (1994): The influence of correlation length of highly conductive zones in alluvial media on the transport behaviour.- in: Dracos & Stauffer (eds.): Transport and Reactive Processes in Aquifers, 171–176, Balkema, Rotterdam, ISBN 90 5410 368 X.
Sommer-v. Jarmersted, Chr. (1992): Hydraulische und hydrochemische Aspekte der Uferfiltration an der Unterhavel in Berlin.- PhD thesis, Berl. Geow. Abh. Reihe A, Band 140, pp. 149, Berlin.
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© 1997 Springer Science+Business Media Dordrecht
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Schafmeister, MT. (1997). Parameter Estimation for Groundwater Models by Indicator Kriging. In: Soares, A., Gómez-Hernandez, J., Froidevaux, R. (eds) geoENV I — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 9. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1675-8_14
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DOI: https://doi.org/10.1007/978-94-017-1675-8_14
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