Inversion of multiple intersecting high-resolution crosshole GPR profiles for hydrological characterization at the Boise Hydrogeophysical Research Site

Journal of Applied Geophysics

Volumn 73, Issue 4, 2011, Pages 305-314

  Dafflon, B ^a   Irving, J ^b   Barrash, W ^a  

^a BOISE STATE UNIVERSITY   (United States)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Crosshole tomography; GPR; Hydrogeophysics; Inversion

Indexed keywords

BOISE HYDROGEOPHYSICAL RESEARCH SITES; CONTAMINANT TRANSPORT MODELING; CROSS-HOLE TOMOGRAPHY; DATA SETS; GEOPHYSICAL DATA; GPR; GROUND PENETRATING RADARS; HIGH RESOLUTION; HYDROGEOPHYSICS; HYDROLOGICAL CHARACTERIZATION; IDAHO , USA; INVERSION; LOG DATA; MEASUREMENT TECHNIQUES; NEUTRON POROSITY; RADAR VELOCITIES; RADAR WAVES; SOIL WATER CONTENT; SPATIAL SCALE; STRUCTURAL INFORMATION; WATER TABLES;

ACOUSTIC WAVE VELOCITY; AQUIFERS; GROUNDWATER FLOW; GROUNDWATER POLLUTION; NEUTRON LOGGING; RADAR; SOIL MOISTURE; TOMOGRAPHY; WATER CONTENT; WAVE PROPAGATION;

GROUND PENETRATING RADAR SYSTEMS;

DATA INVERSION; GROUND PENETRATING RADAR; GROUNDWATER FLOW; POLLUTANT TRANSPORT; RADAR; SOIL WATER; WATER CONTENT; WAVE VELOCITY;

BOISE; IDAHO; UNITED STATES;

EID: 79953329336     PISSN: 09269851     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jappgeo.2011.02.001     Document Type: Article

References (35)

1. Allumbaugh D., Chang P.Y., Paprocki L., Brainard J.R., Glass R.J., Rautman C.Z. Estimating moisture contents in the vadose zone using cross borehole ground penetrating radar; a study of accuracy and repeatability. Water Resources Research 2002, 38:1309.
2. Barrash W., Clemo T. Hierarchical geostatistics and multifacies systems: Boise Hydrogeophysical Research Site, Boise, Idaho. Water Resources Research 2002, 38(10):1196.
3. Beres M., Haeni F.P. Application of ground-penetrating-radar methods in hydrogeologic studies. Ground Water 1991, 29(3):375-386.
4. Bradford J.H., Clement W.P., Barrash W. Estimating porosity with ground-penetrating radar reflection tomography: a controlled 3-D experiment at the Boise Hydrogeophysical Research Site. Water Resources Research 2009, 45:W00D26.
5. Chen J.S., Hubbard S., Rubin Y. Estimating the hydraulic conductivity at the South Oyster Site from geophysical tomographic data using Bayesian techniques based on the normal linear regression model. Water Resources Research 2001, 37(6):1603-1613.
6. Clement W.P., Barrash W. Crosshole radar tomography in a fluvial aquifer near Boise, Idaho. Journal of Environmental and Engineering Geophysics 2006, 11(3):171-184.
7. Dafflon B., Irving J., Holliger K. Simulated-annealing-based conditional simulation for the local-scale characterization of heterogeneous aquifers. Journal of Applied Geophysics 2009, 68(1):60-70.
8. Dafflon B., Irving J., Holliger K. Calibration of high-resolution geophysical data with tracer test measurements to improve hydrological predictions. Advances in Water Resources 2010, 33(1):55-68.
9. Ernst J.R., Maurer H., Green A.G., Holliger K. Application of a new 2D time-domain full-waveform inversion scheme to crosshole radar data. Geophysics 2007, 72:J53-J64.
10. Gallardo L.A., Meju M.A. Joint two-dimensional DC resistivity and seismic travel time inversion with cross-gradients constraints. Journal of Geophysical Research, Solid Earth 2004, 109(B3):B03311.
11. Gelhar L.W. Stochastic Subsurface Hydrology 1993, Prentice-Hall, Englewood Cliffs, 480 p.
12. Giroux B., Gloaguen E., Chouteau M. bh_tomo - a Matlab borehole georadar 2D tomography package. Computers and Geosciences 2007, 33(1):126-137.
13. Gloaguen E., Marcotte D., Giroux B., Dubreuil-Boisclair C., Chouteau M., Aubertin M. Stochastic borehole radar velocity and attenuation tomographies using cokriging and cosimulation. Journal of Applied Geophysics 2007, 62(2):141-157.
14. Hansen T.M., Mosegaard K. VISIM: sequential simulation for linear inverse problems. Computers and Geosciences 2008, 34(1):53-76.
15. Harp D.R., Dai Z.X., Wolfsberg A.V., Vrugt J.A., Robinson B.A., Vesselinov V.V. Aquifer structure identification using stochastic inversion. Geophysical Research Letters 2008, 35(8):L08404.
16. Hearst J.R., Nelson P.H. Well Logging for Physical Properties 1985, McGraw-Hill, New York.
17. Hu B.X., Meerschaert M.M., Barrash W., Hyndman D.W., He C.M., Li X.Y., Guo L.J. Examining the influence of heterogeneous porosity fields on conservative solute transport. Journal of Contaminant Hydrology 2009, 108(3-4):77-88.
18. Hubbard S.S., Rubin Y. Introduction to hydrogeophysics. Hydrogeophysics: Dordrecht 2005, 3-21. The Netherlands, Springer. Y. Rubin, S.S. Hubbard (Eds.).
19. Hubbard S.S., Chen J.S., Peterson J., Majer E.L., Williams K.H., Swift D.J., Mailloux B., Rubin Y. Hydrogeological characterization of the South Oyster Bacterial Transport Site using geophysical data. Water Resources Research 2001, 37(10):2431-2456.
20. Hyndman D.W., Gorelick S.M. Estimating lithologic and transport properties in three dimensions using seismic and tracer data: the Kesterson aquifer. Water Resources Research 1996, 32(9):2659-2670.
21. Hyndman D.W., Harris J.M., Gorelick S.M. Inferring the relation between seismic slowness and hydraulic conductivity in heterogeneous aquifers. Water Resources Research 2000, 36(8):2121-2132.
22. Irving J.D., Knoll M.D., Knight R.J. Improving crosshole radar velocity tomograms: a new approach to incorporating high-angle traveltime data. Geophysics 2007, 72(4):J31-J41.
23. Johnson T.C., Routh P.S., Barrash W., Knoll M.D. A field comparison of Fresnel zone and ray-based GPR attenuation-difference tomography for time-lapse imaging of electrically anomalous tracer or contaminant plumes. Geophysics 2007, 72(2):G21-G29.
24. Keller G.V., Frischknecht F.C. Electrical Methods in Geophysical Prospecting 1966, Pergamon Press Inc, Oxford, 526 p.
25. Kowalsky M.B., Finsterle S., Peterson J., Hubbard S., Rubin Y., Majer E., Ward A., Gee G. Estimation of field-scale soil hydraulic and dielectric parameters through joint inversion of GPR and hydrological data. Water Resources Research 2005, 41(11):W11425.
26. Linde N., Binley A., Tryggvason A., Pedersen L.B., Revil A. Improved hydrogeophysical characterization using joint inversion of cross-hole electrical resistance and ground-penetrating radar traveltime data. Water Resources Research 2006, 42(12):W12404.
27. Linde N., Finsterle S., Hubbard S. Inversion of tracer test data using tomographic constraints. Water Resources Research 2006, 42(4):W04410.
28. McKenna S.A., Poeter E.P. Field example of data fusion in site characterization. Water Resources Research 1995, 31(12):3229-3240.
29. Menke W. Geophysical Data Analysis: Discrete Inverse Theory 1984, Academic Press Inc, 289 p.
30. Mwenifumbo C.J., Barrash W., Knoll M.D. Capacitive conductivity logging and electrical stratigraphy in a high-resistivity aquifer, Boise Hydrogeophysical Research Site. Geophysics 2009, 74(3):E125-E133.
31. Paasche H., Tronicke J. Cooperative inversion of 2D geophysical data sets: a zonal approach based on fuzzy c-means cluster analysis. Geophysics 2007, 72(3):A35-A39.
32. Scales J.A. Tomographic inversion via the conjugate-gradient method. Geophysics 1987, 52(2):179-185.
33. Scheibe T.D., Chien Y.J. An evaluation of conditioning data for solute transport prediction. Ground Water 2003, 41(2):128-141.
34. Sen M., Stoffa P.L. Global Optimization Methods in Geophysical Inversion 1995, Netherlands, 281 p.
35. Tronicke J., Holliger K., Barrash W., Knoll M.D. Multivariate analysis of cross-hole georadar velocity and attenuation tomograms for aquifer zonation. Water Resources Research 2004, 40(1):W01519.