Abstract
In many areas, sites selected for the disposal of urban waste are inadequately investigated from a hydrogeological standpoint due to data limitations. This can be particularly problematical in areas where karst conditions or coarse granular materials can provide preferential pathways for contaminants. Studies in Portugal demonstrate the value of geostatistical techniques for making optimal use of available borehole and geophysical data. Indicator Geostatistics is a non-parametric approach that proves to be particularly promising in this regard.
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References
Aboufirassi, M. and Mariño, MA. (1984) A geostatistically based approach to the identification of aquifer transmissivities in Yolo Basin, California, Math. Geol. 16(2), 125–137.
Ahmed, S. and De Marsily, G. (1987) Comparison of geoestatistical methods for estimating transmissivity using data on transmissivity and specific capacity, Water Resour. Res. 23(9), 1717–1737.
Ahmed, S., Marsily, G., and Talbot, A. (1988) Combined use of hydraulic and electrical properties of an aquifer in a geostatistical estimation of transmissivity, Ground Water 26(1), 78–85.
Clifton, P.M. and Neuman, S.P. (1982) Effects of Kriging and inverse modelling on conditional simulation of the Avra Valley Aquifer in Southern Arizona, Water Resour. Res. 18(4), 1215–1234.
Copty, N., Rubin, Y., and Mavco, G. (1993) Geophysical-Hydrological identification of field permeabilities through Bayesian updating, Water Resour. Res. 29(8), 2813–2825.
Delhomme, J.P. (1979) Spatial variability and uncertainty in groundwater flow parameters: A geostatistical approach, Water Resour. Res. 15(2), 687–698.
Deutsch, C.V. and Journel, A.G. (1992) GSLIB: Geostatistical Software Library and User’s Guide, Oxford University Press, pp. 340.
Dimitrakopoulos, R. and Dagbert, M. (1993) Sequential Modelling of Relative Indicator Variables Dealing with Multiple Lithology Types, in Proc. Geostatistics Troia’92, A. Scares (eds.), Kluwer Academic Publishers, pp. 413–424.
Fischer, G. and Le Quang, B.V. (1981) Topography and minimization of the standard deviation in One-Dimensional Magnetotelluric modelling, Geophys. J. R. Astron. Soc. 67, 279–292.
Fischer, G. (1985) Some remarks on the behaviour of the Magnetotelluric phase, Geophys. Prospecting 33, 716–722.
Garcia, M. and Froidevaux, R. (1996) Application of geostatistics to 3D modelling of contaminated sites: A case study, in Proc. of GeoENV96, 1st European Conference on Geostatistics for Environmental Applications, Lisbon, Portugal.
Johnson, N.M. (1995) Characterisation of alluvial hydrostratigraphic with indicator Variograms, Water Resour. Res. 31(12), 3217–3227.
Johnson, N.M. and Dreiss, S.J. (1989) Hydrostratigraphic interpretation using indicator geostatistics, Water Resour. Res. 25(12), 2501–2510.
Journel, A. (1987) Geostatistics for the environmental sciences, EPA Project n° CR 811893, Technical Report, US EPA, EMS Lab, Las Vegas, NV, pp. 135.
Koltermann, CE. and Gorelick, S.M. (1996) Heterogeneity in sedimentary deposits: A review of structure-imitating, process-imitating, and descriptive approaches, Water Resour. Res. 32(9), 2617–2658.
Muge, F., Ribeiro, L., Pina, P., and Oliveira, V. (1997) Morphological characterization of the spatial variability of hydrostratigraphic units, Geostatistics Wollongong’96, in E.Y. Baafi and N.A. Schofield (eds.), Kluwer Academic Publishers, Volume 2, pp. 1134–1145.
Müller, I. (1996) Pers. Com.
Murray, C.J. (1994) Identification and 3D modelling of Petrophysical rock types, in Geostatistics for Reservoir Geology, AAPG Mem., Am. Assoc. of Pet. Geol., Tulsa, Okla.
Nunes, L.M., Carvalho, A. and Ribeiro, L. (1999) Stochastic estimation of permeability fields and Macrodispersivity tensors in karst aquifers, in Proc. of Jornadas Actualidad de las Técnicas Geofísicas Aplicadas en Hydrogeologia, Granada, Spain.
Nunes, L.M. and Ribeiro, L. (1999) Permeability Fields Estimation by Conditional Simulations of Geophysical Data, in ModelCARE’99 International Conference on Calibration and Reliability in Groundwater Modelling, Coping with Uncertainty, IAHS publ. n° 265, pp. 117–123.
Nunes, L.M. and Ribeiro, L. (2000) Permeability estimation in karst aquifers through geostatistical inference of geophysical variables, in Proc. of the 6 th International Geostatistics Congress, CD-ROM (eds.), Cape Town, South Africa.
Pina, P., Ribeiro, L., and Muge, F. (2001) A Mathematical Morphology Contribution to Study Some Aspects of Hydrogeological Systems, Computers & Geosciences (in press).
Ribeiro, L. (2000) The effect of an heterogeneous hydraulic conductivity field on the spread of a contaminant plume in a porous aquifer: A Case Study in Portugal, Groundwater Updates, Springer Publishers, pp. 153–158.
Rivoirard, J. (1993) Relations Between the Indicators Related to a Regionalized Variable, in Geostatistics Troia’92, A. Soares (eds.), Kluwer Acad. Pub, The Netherlands, Vol.1, pp. 273–284,
Scheifmeister, M.Th. and Burger, H. (1995) Merging Quantitative and Qualitative Information as Input to Contaminated Row Simulation: A Case Study, in International Meeting of IAMG, Osaka, October 29 — November 2, 1995, Abstract Volume for The Technical Programs, pp. 43–45.
Scheifmeister, M.Th. (1996) Parameter Estimation for Groundwater Models by Indicator Kriging, in Proc.of GeoENV96, 1st European Conference on Geostatistics for Environmental Applications, Lisbon, Portugal.
Serra, J. (1982) Image Analysis and Mathematical Morphology, Academic Press, London.
Turberg, P. (1993) Apport de la Cartographie Radiomagnetotellurique à l’Hydrogéologie des Milieux Fracturés, Ph. D. thesis, Neuchâtel University, Switzerland.
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Ribeiro, L. (2002). Geostatistical Characterisation of Aquifer Heterogeneity Around Two Urban Landfills Using Lithological and Geophysical Data. In: Howard, K.W.F., Israfilov, R.G. (eds) Current Problems of Hydrogeology in Urban Areas, Urban Agglomerates and Industrial Centres. Nato Science Series, vol 8. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0409-1_16
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DOI: https://doi.org/10.1007/978-94-010-0409-1_16
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