Investigating the Macrodispersion Experiment (MADE) site in Columbus, Mississippi, using a three-dimensional inverse flow and transport model

Water Resources Research

Volumn 40, Issue 4, 2004, Pages

  Barlebo, Heidi Christiansen ^a   Hill, Mary C ^b   Rosbjerg, Dan ^c  

^a GEOLOGICAL SURVEY OF DENMARK AND GREENLAND   (Denmark)

^b U S GEOLOGICAL SURVEY   (United States)

^c TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Flow; Groundwater; Heterogeneity; Hydraulic conductivity; Hypothesis testing; Inverse modeling

Indexed keywords

COMPUTER SIMULATION; CONCENTRATION (PROCESS); DISPERSIONS; FLOWMETERS; HYDRAULIC CONDUCTIVITY; MATHEMATICAL MODELS;

FLOW PATHS; MACRODISPERSION EXPERIMENT (MADE);

UNSATURATED COMPOUNDS;

FLOW MODELING; GROUNDWATER; HYDRAULIC CONDUCTIVITY; POROSITY; THREE-DIMENSIONAL FLOW;

DUAL POROSITY; FLOW MODELING; GROUNDWATER FLOW; HYDRAULIC CONDUCTIVITY; THREE-DIMENSIONAL FLOW;

COLUMBUS; NORTH AMERICA; OHIO; UNITED STATES;

EID: 2442648113     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2002WR001935     Document Type: Article

References (43)

1. Adams, E. E., and L. W. Gelhar (1992), Field study of dispersion in a heterogeneous aquifer: 2. Spatial moments analysis, Water Resour. Res., 28(12), 3293-3307.
2. Anderman, E. R., and M. C. Hill (1999), A new multistage groundwater transport inverse method: Presentation, evaluation, and implications, Water Resour. Res., 35(4), 1053-1063.
3. Barlebo, H. C., M. C. Hill, D. Rosbjerg, and K. H. Jensen (1998), Concentration data and dimensionality in groundwater models: Evaluation using inverse modelling, Nord. Hydrol., 29(3), 149-178.
4. Barth, G. R., M. C. Hill, T. H. Illangasekare, and H. Rajaram (2001), Predictive modeling of flow and transport in a two-dimensional intermediate-scale, heterogeneous porous media, Water Resour. Res., 37(10), 2503-2512.
5. Berkowitz, B., and H. Scher (1998), Theory and anomalous chemical transport in random fracture networks, Phys. Rev. E, 57(5), 5858-5869.
6. Boggs, J. M., and E. E. Adams (1992), Field study of dispersion in a heterogeneous aquifer: 4. Investigation of adsorption and sampling bias, Water Resour. Res., 28(12), 3325-3336.
7. Boggs, J. M., C. C. Toung, D. J. Benton, and Y. C. Chung (1990), Hydrogeologic characterization of the MADE site, Interim Rep. EPRI EN-6915, 175 pp., Electr. Power Res. Inst., Palo Alto, Calif.
8. Boggs, J. M., S. C. Young, L. M. Beard, L. W. Gelhar, K. R. Rehfeldt, and E. E. Adams (1992), Field study of dispersion in a heterogeneous aquifer: 1. Overview and site description, Water Resour. Res., 28(12), 3281-3291.
9. Boggs, J. M., L. M. Beard, S. E. Long, M. P. McGee, W. G. MacIntyre, C. P. Antworth, and T. B. Stauffer (1993), Database for the Second Macrodispersion Experiment (MADE-2), Proj. 2485-05, interim report, Electr. Power Res. Inst., Palo Alto, Calif.
10. Burnett, R. D., and E. O. Frind (1987), Simulation of contaminant transport in three dimensions: 2. Dimensionality effects, Water Resour. Res., 23(4), 695-705.
11. Carrera, J. (1987), State of the art of the inverse problem applied to the flow and solute equations, in Groundwater Flow and Quality Modelling, NATO ASI Ser., Ser. C, vol. 224, 549-584, D. Reidel, Norwell, Mass.
12. Carrera, J., and S. P. Neuman (1986), Estimation of aquifer parameters under transient and steady state conditions: 1. Maximum likelihood method incorporating prior information, Water Resour. Res., 22(2), 199-210.
13. Delin, G. N., R. W. Healy, M. K. Landon, and J. K. Böhlke (2000), Effects of topography and soil properties on recharge at two sites in an agricultural field, J. Am. Water Resour. Assoc., 36(6), 1401-1416.
14. Eggleston, J., and S. Rojstaczer (1998), Identification of large-scale hydraulic conductivity trends and the influence of trends on contaminant transport, Water Resour. Res., 34(9), 2155-2168.
15. Feehley, C. E., C. Zheng, and F. J. Molz (2000), A dual-domain mass transfer approach for modeling solute transport in heterogeneous aquifers: Application to the macrodispersion experiment (MADE) site, Water Resour. Res., 36(9), 2501-2515.
16. Gailey, R. M., S. M. Gorelick, and A. S. Crowe (1991), Coupled process parameter estimation and prediction uncertainty using hydraulic head and concentration data, Adv. Water Resour., 14(5), 301-314.
17. Gelhar, L. W. (1993), Stochastic Subsurface Hydrology, Prentice-Hall, Old Tappan, N. J.
18. Gelhar, L. W., C. Welty, and K. R. Rehfeldt (1992), A critical review of data on field-scale dispersion in aquifers, Water Resour. Res., 28(7), 1955-1974.
19. Graybill, F. A. (1976), Theory and Application of the Linear Model, Duxbury, North Scituate, Mass.
20. Harvey, C. F. (1996), Solute transport in spatially heterogeneous aquifers. Mapping large-scale structures and modelling small-scale effects, Ph.D. dissertation, Stanford Univ., Stanford, California.
21. Harvey, C. F., and S. M. Gorelick (2000), Rate-limited mass transfer or macrodispersion: Which dominates plume evolution at the Macrodispersion Experiment (MADE) site?, Water Resour. Res., 36(3), 637-650.
22. Hill, M. C. (1992), A computer program (MODFLOWP) for estimating parameters of a transient, three-dimensional, ground-water flow model using nonlinear regression, U.S. Geol. Surv. Open File Rep., 91-484.
23. Hill, M. C. (1998), Methods and guidelines for effective model calibration, U.S. Geol. Surv. Water Resour. Invest. Rep., 98-4005.
24. Hill, M. C., and O. Østerby (2003), Determining extreme parameter correlation in ground-water models, Ground Water, 41(4), 420-430.
25. IMSL Inc. (1987), IMSL FORTRAN subroutines for mathematical applications, users manual, version 1.0, vol. 3, pp. 847-852, Houston, Tex.
26. Killey, R. W. D., and G. L. Moltyaner (1988), Twin Lake tracer tests: Setting, methodology, and hydraulic conductivity distribution, Water Resour. Res., 24(10), 1585-1612.
27. LeBlanc, D. R., S. P. Garabedian, K. M. Hess, L. W. Gelhar, R. D. Quadri, K. G. Stollenwerk, and W. W. Wood (1991), Large-scale natural gradient tracer test in sand and gravel, Cape Cod, Massachusetts: 1. Experimental design and observed tracer movement, Water Resour. Res., 27(5), 895-910.
28. Leismann, H. M., and E. O. Frind (1989), A symmetric-matrix time integration scheme for the efficient solution of advection-dispersion problems, Water Resour. Res., 25(6), 1133-1139.
29. Mackay, D. M., D. L. Freyberg, P. V. Roberts, and J. A. Cherry (1986), A natural gradient experiment on solute transport in a sand aquifer: 1. Approach and overview of plume movement, Water Resour. Res., 22(13), 2017-2029.
30. Mayer, A. S., and C. Huang (1999), Development and application of a coupled process parameter-inversion model based on the maximum likelihood estimation method, Adv. Water Resour., 22(8), 841-853.
31. Molson, J. W., and E. O. Frind (2002), WATFLOW/WTC user guide and documentation, version 3, 75 pp., Dep. of Earth Sci., Univ. of Waterloo, Waterloo, Ontario, Canada.
32. Pinder, G. F. (2002), Groundwater Modeling Using Geographical Information Systems, 233 pp., John Wiley, Hoboken, N. J.
33. Poeter, E. P., and M. C. Hill (1996), Unrealistic parameter values in inverse modeling: A problem of benefit for model calibration, in Calibration and Reliability in Groundwater Modeling, Proceedings of the 1996 ModelCARE Conference, IAHS Publ., 237, 277-285.
34. Rehfeldt, K. R., P. Hufschmied, L. W. Gelhar, and M. E. Schaefer (1989), Measuring hydraulic conductivity with the borehole flowmeter, Rep. EN-6511, Res. Proj. 2485-5, Electr. Power Res. Inst., Palo Alto, Calif.
35. Rehfeldt, K. R., J. M. Boggs, and L. W. Gelhar (1992), Field study of dispersion in a heterogeneous aquifer: 3. Geostatistical analysis of hydraulic conductivity, Water Resour. Res., 28(12), 3309-3324.
36. Robertson, W. D., and J. A. Cherry (1989), Tritium as an indicator of recharge and dispersion in a groundwater system in central Ontario, Water Resour. Res., 25(6), 1097-1109.
37. Seber, G. A. F., and C. J. Wild (1989), Nonlinear Regression, John Wiley, Hoboken, N. J.
38. Stauffer, T. B., C. P. Antworth, R. G. Young, W. G. MacIntyre, J. M. Boggs, and L. M. Beard (1994), Degradation of aromatic hydrocarbons in an aquifer during a field experiment demonstrating the feasibility of remediation by natural attenuation, Rep. AL/EQ TR 1993-0007, Armstrong Lab., Tyndall Air Force Base, Fla.
39. U.S. Geological Survey (1966), The National Atlas of the United States, Reston, Va.
40. Wagner, B. J., and S. M. Gorelick (1986), A statistical methodology for estimating transport parameters: Theory and applications to one-dimensional advective-dispersive systems, Water Resour. Res., 22(8), 1303-1315.
41. Winter, T. C. (1989), Distribution of the difference between precipitation and open-water evaporation in North America, in The Geology of North America, vol. O-1, Surface Water Hydrology, plate 2, Geol. Soc. of Am., Boulder, Colo.
42. Yeh, W. W.-G. (1986), Review of parameter identification procedures in groundwater hydrology: The inverse problem, Water Resour. Res., 22(2), 95-108.
43. Zheng, C., and J. J. Jiao (1998), Numerical simulation of tracer tests in heterogeneous aquifer, J. Environ. Eng., 124(6), 510-516.