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Environmental Geostatistics Bibliography
by Subject


Data Worth:

  • Freeze, R.A., B.R. James, J. Massman, T. Sperling and L. Smith, 1992, Hydrogeological Decision Analysis: 4, The Concept of Data Worth and its use in the Development of Site Investigation Strategies, Ground Water, Vol. 30, No. 4, pp. 574-588.

  • James, B.R. and R.A. Freeze, 1993, The Worth of Data in Predicting Aquitard Continuity in Hydrogeological Design, Water Resources Research, 29 (7), pp. 2049-2065.

  • James, B.R. and S.M. Gorelick, When enough is enough: The worth of monitoring data in aquifer remediation design, Water Resources Research, 30 (12) pp. 3499-3513.


Decision Analysis/Objective Functions:

  • Christakos, G. and D.T. Hristopulos, Stochastic indicators for waste site characterization, Water Resources Research, 32 (8), pp. 2563-2578.

  • Rautman, C.A., 1997, Geostatistics and cost-effective environmental remediation, in Geostatistics Wollongong 96, E.Y. Baafi and N.A. Schofield, eds., Dordrecht: Kluwer Academic Publishers, vol. 2, p. 941–950.

  • Srivastava, R.M., 1987, Minimum variance or maximum profitability?, CIM Bulletin, 80 (901), pp. 63-68.


Sample Design:

  • Barnes, R.J., 1989, Sample design for geologic site characterization, in: Geostatistics, Vol. 2, pp. 809-822.

  • Boswell, M.T., S.D. Gore, G. Lovison and G.P. Patil, 1996, Annotated bibliography of composite sampling, Part A:, 1936-1992, Environmental and Ecological Statistics, 3, pp. 1-50.

  • Burgess, T.M., R. Webster and A.B. McBratney, 1981, Optimal imterpolation and isarithmic mapping of soil properties. IV Sampling strategy, Journal of Soil Science, 32, pp. 643-659.

  • Christakos, G. and B.R. Killam, 1993, Sampling design for classifying contaminant level using annealing search algorithms, Water Resources Research, 29 (12), pp. 4063-4076.

  • Englund, E.J. and N. Heravi, 1994, Multi-phase sampling for soil remediation, Environmental and Ecological Statistics, 1 (4), pp. 247-263.

  • Istok, J.D. and C.A. Rautman, 1996, , Probabilistic assessment of ground-water contamination : 2. Results of case study, Ground Water, 34 (6), pp. 1050-1064.

  • Olea, R. A., 1984, Sampling design optimization for spatial functions, Mathematical Geology, 16 (4), pp. 369-392.

  • Rautman, C.A. and J.D. Istok, 1996, Probabilistic assessment of ground-water contamination : 1. Geostatistical framework, Ground Water, 34 (5), pp. 899-909.

  • Rendu, J-M. M., 1980, Optimization of sampling policies: A geostatistical approach, 4th Joint Meeting of Mining and Metal, Institute of Japan and AIME, Tokyo, Japan, pp. 27-48.


Assessment of Accuracy and Uncertainty:

  • Deutsch, C.V., 1996, Direct assessment of local accuracy and precision, in: Proceedings of the Fifth International Geostatistcs Congress, Wollongong, Australia, 9-22 to 9-27, 1996, E.Y. Baafi and N.A. Schofield, eds., Dordrecht: Kluwer Academic Publishers.

  • Goovaerts, P., 1996, Accounting for local uncertainty in environmental decision making processes, in: Proceedings of the Fifth International Geostatistcs Congress, Wollongong, Australia, 9-22 to 9-27, 1996, E.Y. Baafi and N.A. Schofield, eds., Dordrecht: Kluwer Academic Publishers.

  • Phillip, G.M. and Watson, D.F., 1986, A method for assessing local variation among scattered measurements, Mathematical Geology, 18(8), pp. 759-764.


Remediation:

  • Glacken, I. M., 1996, Change of support and use of economic parameters for block selection, in: Proceedings of the Fifth International Geostatistcs Congress, Wollongong, Australia, 9-22 to 9-27, 1996, E.Y. Baafi and N.A. Schofield, eds., Dordrecht: Kluwer Academic Publishers.

  • Kyriakidis, P.C., 1996, Selecting panels for remediation in contaminated soils via stochastic imaging, in: Proceedings of the Fifth International Geostatistcs Congress, Wollongong, Australia, 9-22 to 9-27, 1996, E.Y. Baafi and N.A. Schofield, eds., Dordrecht: Kluwer Academic Publishers.

Example Applications:

  • Ginevan, M.E. and D.E. Splitstone, 1997, Risk-based geostatistical analysis and data visualization: improving remediation decisions for hazardous waste sites, Environmental Science and Technology, February, 1997

  • McKenna, S.A., 1998, Geostatistical Approach for Managing Uncertainty in Environmental Remediation of Contaminated Soils: Case Study, Environmental and Engineering Geoscience, Vol. IV, No. 2, Summer, pp. 175-184.

  • McKenna, S.A., 1997,Geostatistical Analysis of Pu-238 Contamination in Release Block D, Mound Plant, Miamisburg, Ohio, SAND97-0270, Sandia National Laboratories, Albuquerque, New Mexico, 23 pp.

  • Rautman, C.A. and J.D. Istok, 1996, Probabilistic assessment of ground-water contamination : 1. Geostatistical framework, Ground Water, 34 (5), pp. 899-909.

  • Istok, J.D. and C.A. Rautman, 1996, Probabilistic assessment of ground-water contamination : 2. Results of case study, Ground Water, 34 (6), pp. 1050-1064.

  • Rautman, C.A., M.A. McGraw, J.D. Istok, J.M. Sigda, and P.G. Kaplan, 1994, Probabilistic Comparison of Alternative Characterization Technologies at the Fernald Uranium-in-Soils Integrated Demonstration Project, Proceedings of Waste Management 94, Tucson, AZ, February 27-March 3, p. 2117-2124.

Books:

  • Bras, R.L. and I. Rodriguez-Iturbe, 1993, Random Functions and Hydrology, Dover Publications, Inc., Mineola, New York, 559 pp.

  • Cressie, N., 1993, Statistics for Spatial Data, Revised Edition, John Wiley and Sons, Inc., 900 pp.

  • Davis, J.C., 1986, Statistics and Data Analysis in Geology, 2nd edition, John Wiley and Sons, New York, 646 pp.

  • Deutsch, C.V. and A.G. Journel, 1998, GSLIB: Geostatistical Software Library and User’s Guide, Oxford University Press, New York, 380 pp.

  • Goovaerts, P., 1997, Geostatistics for Natural Resources Evaluation, Oxford University Press, New York, 467 pp.

  • Isaaks and R.M. Srivastava, 1989, An Introduction to Applied Geostatistics, Oxford University Press, New York, 561 pp.

  • Journel, A.G. and Ch.J. Huijbregts, 1978, Mining Geostatistics, Academic Press, London, 600 pp.

  • Kitanidis, P.K., 1997, Introduction to Geostatisitcs: Applications in Hydrogeology, Cambridge University Press, 249 pp.

  • Olea, R., 1999, Geostatistics for Engineers and Earth Scientists, Kluwer Academic Publishers, Holland, 328 pp.

  • Pannatier, Y., 1996, Variowin: Software for Spatial Data Analysis in 2D, Springer-Verlag, New York, 91 pp.

  • Wackernagel, H., 1998, Multivariate Geostatistics. An Introduction with Applications, Second Edition, Springer-Verlag, 291 pp.

  • Yarus, J.M. and R. L. Chambers, 1995, Stochastic Modeling and Geostatistics Principles, Methods, and Case Studies, AAPG Computer Applications in Geology; No. 3, AAPG, Tulsa, Oklahoma, 380 pp.

Contact: Sean McKenna Sandia National Laboratories, 505-284-2450
Contact: Anthony Armstrong Oak Ridge National Laboratories, 423-576-1555



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