Hydrogeologic behavior of an alluvial aquifer, Salta Province, Argentina: Simulations of hydraulic conductivity field, groundwater flow, and chloride migration

Natural Resources Research

Volumn 11, Issue 3, 2002, Pages 157-166

  Köhn, Jacqueline ^a   Kruse, Eduardo E ^a   Santos, Juan E ^a  

^a UNIVERSIDAD NACIONAL DE LA PLATA   (Argentina)

Author keywords

Chloride transport; Groundwater; Kriging; Numerical modeling

Indexed keywords

EID: 52649147564     PISSN: 15207439     EISSN: 15738981     Source Type: Journal    
DOI: 10.1023/A:1019822820426     Document Type: Article

References (15)

1. Bruining, J. D., Van Batenburg, L. W., Lake, and Yang, A. P., 1997, Flexible spectral methods for the generation of random fields with power-law semivariograms: Math. Geology, v. 29, no. 6, p. 823-848.
2. Burr, D. T., Sudicky, E. A., and Naff, R. L., 1994, Nonreactive and reactive solute transport in three-dimensional heterogeneous porous media: Mean displacement, plume spreading, and uncertainty: Water Resources Res., v. 30, no. 3, p. 791-815.
3. Davis, J. C., 1986, Statistics and data analysis in geology: John Wiley & Sons New York, 646 p.
4. Desbarats, A. J., 1992, Spatial averaging of hydraulic conductivity in three-dimensional heterogeneous porous media: Math. Geology, v. 24, no. 3, p. 249-267.
5. Douglas, J., and Russel, T. F., 1982, Numerical methods for convection-dominated diffusion problems based on combining the method of characteristics with finite element or finite differences procedures: SIAM Jour. Numer. Anal., v. 19, no. 5, p. 871-885.
6. Douglas, J. Jr., Pereira, F., Yeh, L. M., and Paes Leme, P. J., 1995, Domain decomposition for immiscible displacement in single porosity systems, in Krizek, M., Neitaanmaki, P., and Stemberg, R. eds., Finite Element Methods: Fifty Years of the Courant Element: Marcel Dekker, New York, Lecture Notes in Pure and Applied Mathematics, v. 164, p. 191-199.
7. Fang, J. H., and Wang, P. P., 1997, Random field generation using simulated annealing vs. fractal-based stochastic interpolation: Math. Geology, v. 29, no. 6, p. 849-858.
8. Ghori, S. G., Heller, J. P., and Singh, A. K., 1993, An efficient method of generating random permeability fields by the source point method: Math Geology, v. 25, no. 5, p. 559-572.
9. Hills, R. G., Wierenga, P. J., Hudson, D. B., and Kirkland, M. R., 1991, The second Las Cruces trench experiment: Experimental results and two-dimensional flow predictions: Water Resourc. Res., v. 27, no. 10, p. 2707-2718.
10. Krige, D. G., 1951, A statistical approach to some mine valuations and allied problems on the Witwatersrand: unpubl. masters thesis, Uni. Witwatersrand, 136 p.
11. Kruse, E. E., 1989, La hidrología en la cuenca del Río Mojotoro y su relación con las características geólogo-geomorfológicas: Tesis Doctoral Nro. 544, Universidad Nacional de La Plata, 225 p.
12. Marsily, de, G., 1986, Quantitative hydrogeology: Academic Press, London, 440 p.
13. Marsily de, G., Delay, F., Teles, V., and Schafmeister, M. T., 1998, Some current methods to resent the heterogeneity of natural media in hydrology: Hydrogeol. Jour. v. 6, no. 1, p. 115-130.
14. Matheron, G., 1971, The theory of regionalized variables and its applications: Ecole des Mines de Paris, Paris, 211 p.
15. Sposito, G., Jury, W. A., and Gupta, V. K., 1986, Fundamental problems in the stochastic convection-dispersion model of solute transport in aquifers and field soils: Water Resources Res., v. 22 no. 1, p. 77-88.