Simulation of field injection experiments in heterogeneous unsaturated media using cokriging and artificial neural network

Water Resources Research

Volumn 43, Issue 7, 2007, Pages

  Ye, Ming ^a   Khaleel, Raziuddin ^b   Schaap, Marcel G ^c,d   Zhu, Jianting ^e  

^a FLORIDA STATE UNIVERSITY   (United States)

^b Fluor Government Group   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d UNIVERSITY OF ARIZONA   (United States)

^e DESERT RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; FLOW OF WATER; MOISTURE; NEURAL NETWORKS;

HETEROGENEOUS SOIL; PEDOTRANSFER FUNCTIONS;

SOIL SURVEYS;

COMPUTER SIMULATION; FLOW OF WATER; MOISTURE; NEURAL NETWORKS; SOIL SURVEYS;

ARTIFICIAL NEURAL NETWORK; BULK DENSITY; HYDRAULIC CONDUCTIVITY; KRIGING; MOISTURE CONTENT; PEDOTRANSFER FUNCTION; SOIL PROPERTY; SOIL TEXTURE; SPATIAL DISTRIBUTION; UNSATURATED MEDIUM;

NORTH AMERICA; UNITED STATES; WASHINGTON [UNITED STATES];

EID: 36649003308     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006WR005030     Document Type: Article

References (53)

1. Aris, R. (1956), On the dispersion of a solute in a fluid flowing through a tube, Proc. R. Soc. London, Ser. A, 235, 67-78.
2. Cassiani, G., and A. Binley (2005), Modeling unsaturated flow in a layered formation under quasi-steady state conditions using geophysical data constraints, Adv. Water Resour., 28, 467-477.
3. Cressie, N. (1991), Statistics of Spatial Data, John Wiley, Hoboken, N. J.
4. Cole, C. R., M. P. Bergeron, S. K. Wurstner, P. D. Thorne, S. Orr, and M. I. McKinley (2001), Transient Inverse Calibration of Hanford Site-Wide Groundwater Model to Hanford Operational Impacts - 1943 to 1996, PNNL-13447, Pacific Northwest National Laboratory, Richland, WA.
5. Demuth, H., and M. Beale (1992), Neural Network Toolbox Manual, Math-Works Inc., Natick, Massachussetts.
6. Deutsch, C. V., and A. G. Journel (1998), GSLIB-Geostatistical Software Library and User's Guide, Oxford Univ. Press, New York.
7. Efron, B., and R. J. Tibshirani (1993), An Introduction to the Bootstrap, Monographs on Statistics and Applied Probability, CRC Press, Boca Raton, Fla.
8. Fayer, M. J., R. E. Lewis, R. E. Engelman, A. L. Pearson, C. J. Murray, J. L. Smoot, R. R. Randall, W. H. Wegener, and A. H. Lu (1995), Re-Evaluation of a Subsurface Injection Experiment for Testing Flow and Transport Models, PNL-10860, Pacific Northwest National Laboratory, Richland, WA.
9. Gardner, W. R. (1958), Some steady state solutions of unsaturated moisture flow equations with applications to evaporation from a water table, Soil Sci., 85, 228-232.
10. Gee, G. W., and A. L. Ward (2001), Vadose Zone Transport Field Study: Status Report, PNNL-13679, Pacific Northwest National Laboratory, Richland, WA.
11. Haykin, S. (1994), Neural Networks, A Comprehensive Foundation, 1st ed. Macmillan, New York.
12. Hecht-Nielsen, R. (1990), Neurocomputing, Addison-Wesley, Boston, Mass.
13. Hughson, D. L., and T.-C. J. Yeh (2000), An iterative model for three-dimensional flow in variably saturated porous media, Water Resour. Res., 36(4), 829-840.
14. Isaaks, E. H., and R. M. Srivastava (1989), An Introduction to Applied Geostatistics, Oxford Univ. Press, New York.
15. Journel, A. G., and Ch. J. Huijbregts (1978), Mining Geostatistics, Elsevier, New York.
16. Khaleel, R., and E. J. Freeman (1995), Variability and Scaling of Hydraulic Properties for 200 Area soils, Hanford Site WHC-EP-0883, Westinghouse Hanford Company, Richland, WA.
17. Khaleel, R., J. F. Relyea, and J. L. Conca (1995), Evaluation of van Genuchten-Mualem relationships to estimate unsaturated hydraulic conductivity at low water contents, Water Resour. Res., 31(11), 2659-2668.
18. Kowalsky, M. B., S. Finsterle, J. Peterson, S. Hubbard, Y. Rubin, E. Majer, A. Ward, and G. Gee (2005), Estimation of field-scale soil hydraulic and dielectric parameters through joint inversion of GPR and hydrological data, Water Resour. Res., 41, W11425, doi:10.1029/2005WR004237.
19. Last, G. V., and T. G. Caldwell (2001), Core Sampling in Support of the Vadose Zone Transport Field Study, PNNL-13454, Pacific Northwest National Laboratory, Richland, WA.
20. Last, G. V., T. G. Caldwell, and A. T. Owen (2001), Sampling of Boreholes WL-3A through 12 in Support of the Vadose Zone Transport Field Study, PNNL-13631, Pacific Northwest National Laboratory, Richland, WA.
21. Li, B., and T.-C. J. Yeh (1999), Cokriging estimation of the conductivity field under variably saturated flow conditions, Water Resour. Res., 35(12), 3663-3674.
22. Liu, S.-Y., and T.-C. J. Yeh (2004), An integrative approach for monitoring water movement in the vadose zone, Vadose Zone J., 3(2), 681-692.
23. MacKay, D. J. C. (1992), Bayesian interpolation, Neural Comput., 4(2), 415-447.
24. Mayes, M. A., P. M. Jardine, T. L. Mehlhorn, B. N. Bjornstad, J. L. Ladd, and J. M. Zachara (2003), Transport of multiple tracers in variably saturated humid region structured soils and semi-arid region laminated sediments, J. Hydrol., 275, 141-161.
25. Meyer, P. D., M. L. Rockhold, and G. W. Gee (1997), Uncertainty Analysis of Infiltration and Subsurface Flow and Transport for SDMP Sites, NUREG/CR-6565, PNNL-11705, U.S. Nuclear Regulatory Commission, Office of Nuclear Regulatory Research, Washington, DC.
26. Minasny, B., A. B. McBratney, and K. L. Bristow (1999), Comparison of different approaches to the development of pedotransfer functions for water-retention curves, Geoderma, 93, 225-253.
27. Pace, M. N., M. A. Mayes, P. M. Jardine, T. L. Mehlhorn, J. M. Zachara, and B. N. Bjornstad (2003), Quantifying the effects of small-scale heterogeneities on flow and transport in undisturbed cores from the Hanford formation, Vadose Zone J., 2, 664-676.
28. Pachepsky, Y. A., D Timlin, and G. Varallyay (1996), Artificial neural networks to estimate soil water retention from easily measurable data, Soil Sci. Soc. Am. J., 60, 727-733.
29. Pachepsky, Y. A., D. Timlin, and L. Ahuja (1999), Estimating saturated soil hydraulic conductivity using water retention data and neural networks, Soil Sci., 164, 552-560.
30. Pyrcz, M. J., and C. V. Deutsch (2003), The whole story on the hole effect, edited by S. Searston, Geostatistical Association of Australasia, Newsletter 18.
31. Rockhold, M. L., R. E. Rossi, and R. G. Hills (1996), Application of similar media scaling and conditional simulation for modeling water flow and tritium transport at the Las Cruces Trench Site, Water Resour. Res., 32(3), 595-609.
32. Rockhold, M. L., C. J. Murray, and M. J. Fayer (1999), Conditional simulation and upscaling of soil hydraulic properties, in Characterization and Measurement of the Hydraulic Properties of Unsaturated Porous Media, edited by M. Th. van Genuchten, F. J. Leij, and L. Wu, p. 1391-1401, Univ. of Calif. Press, Berkeley.
33. Schaap, M. G., and W. Bouten (1996), Modeling water retention curves of sandy soils using neural networks, Water Resour. Res., 32, 3033-3040.
34. Schaap, M. G., F. J. Leij, and M. Th. van Genuchten (1998), Neural network analysis for hierarchical prediction of soil hydraulic properties, Soil Sci. Soc. Am. J., 62, 847-855.
35. Schaap, M. G., F. J. Leij, and M. Th. van Genuchten (2001), Rosetta: a computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions, J. Hydrol., 251, 163-176.
36. Schaap, M. G., P. J. Shouse, and P. D. Meyer (2003), Laboratory Measurements of the Unsaturated Hydraulic Properties at the Vadose Zone Transport Field Study Site, PNNL-14284, Pacific Northwest National Laboratory, Richland, Washington.
37. Sisson, J. B., and A. H. Lu (1984), Field Calibration of Computer Models for Application to Buried Liquid Discharges: A Status Report, RHO-ST-46P, Rockwell Hanford Operations, Richland, WA.
38. Srivastava, R., and T.-C. J. Yeh (1992), A three-dimensional numerical model for water flow and transport of chemically reactive solute through porous media under variably saturated conditions, Adv. Water Resour., 15, 275-287.
39. van Genuchten, M. Th. (1980), A closed-form equation for predicting the hydraulic conductivity of unsaturated soils, Soil Sci. Soc. Am. J., 44, 892-898.
40. Wang, W., S. P. Neuman, T. Yao, and P. J. Wierenga (2003), Simulation of large-scale field infiltration experiments using a hierarchy of models based on public, generic, and site data, Vadose Zone J., 2, 297-312.
41. Ward, A. L., T. G. Caldwell, and G. W. Gee (2000), Vadose Zone Transport Field Study: Soil Water Content Distributions by Neutron Moderation, PNNL-13795, Pacific Northwest National Laboratory, Richland, WA.
42. Ward, A. L., Z. F. Zhang, and G. W. Gee (2006), Upscaling unsaturated hydraulic parameters for flow through heterogeneous, anisotropic sediments, Adv. Water Resour., 29(2), 268-280.
43. Yates, S. R., and A. W. Warrick (1987), Estimating soil water content using cokriging, Soil Sci. Soc. Am. J., 51, 23-30.
44. Ye, M., R. Khaleel, and T.-C. J. Yeh (2005), Stochastic analysis of moisture plume dynamics of a field injection experiment, Water Resour. Res., 41, W03013, doi:10.1029/2004WR003735.
45. Yeh, T.-C. J., and S. Liu (2000), Hydraulic tomography: Development of a new aquifer test method, Water Resour. Res., 36(8), 2095-2105.
46. Yeh, T.-C. J., and J. Zhang (1996), A geostatistical inverse method for variably saturated flow in the vadose zone, Water Resour. Res., 32(9), 2757-2766.
47. Yeh, T.-C. J., L. W. Gelhar, and A. L. Gutjahr (1985a), Stochastic analysis of unsaturated flow in heterogeneous soils: 1. Statistically isotropic media, Water Resour. Res., 21(4), 447-456.
48. Yeh, T.-C. J., L. W. Gelhar, and A. L. Gutjahr (1985b), Stochastic analysis of unsaturated flow in heterogeneous soils: 2. Statistically anisotropic media, Water Resour. Res., 21(4), 457-464.
49. Yeh, T.-C. J., L. W. Gelhar, and A. L. Gutjahr (1985c), Stochastic analysis of unsaturated flow in heterogeneous soils: 3. Observations and applications, Water Resour. Res., 21(4), 465-471.
50. Yeh, T.-C. J., S. Liu, R. J. Glass, K. Baker, J. R. Brainard, D. L. Alumbaugh, and D. LaBrecque (2002), A geostatistically based inverse model for electrical resistivity surveys and its applications to vadose zone hydrology, Water Resour. Res., 38(12), 1278, doi:10.1029/2001WR001204.
51. Yeh, T.-C. J., M. Ye, and R. Khaleel (2005), Estimation of effective unsaturated hydraulic conductivity tensor using spatial moments of observed moisture plume, Water Resour. Res., 41, W03014, doi:10.1029/2004WR003736.
52. Zhang, J., and T.-C. J. Yeh (1997), An iterative geostatistical inverse method for steady flow in the vadose zone, Water Resour. Res., 33(1), 63-71.
53. Zhang, Z. F., A. L. Ward, and G. W. Gee (2004), A combined parameter scaling and inverse technique to upscale the unsaturated hydraulic parameters for heterogeneous soils, Water Resour. Res., 40, W08306, doi:10.1029/2003WR002925.