Brian D. Riha
Savannah River National Laboratory
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Publication
Featured researches published by Brian D. Riha.
Journal of Environmental and Engineering Geophysics | 2005
Robert E. Grimm; Gary R. Olhoeft; Kate McKinley; Joseph Rossabi; Brian D. Riha
Nonlinear complex-resistivity (NLCR) cross-hole imaging of the vadose zone was performed at the A-014 Outfall at the Savannah River Site, Aiken, SC. The purpose of this experiment was to fieldtest the ability of this method to detect dense nonaqueous phase liquids (DNAPLs), specifically tetrachloroethene (PCE), known to contaminate the area. Five vertical electrode arrays (VEAs) were installed with ~15-ft (3 m) separations in and around the suspected source zone to depths of 72 ft (22 m), and measurements were carried out at seven nearest-neighbor panels. Amplitude and phase data were edited for quality and then inverted to form three-dimensional (3D) images. The comparatively small magnitude of the nonlinear resistivity Hilbert distortion allowed approximate linearized imaging of the 3D distribution of this quantity as well. Laboratory analysis of nearby soil contaminated in situ indicated that the NLCR response to the PCE-clay reaction is maximized near 50 mHz, leading to the development of a metric involving the phase and resistivity Hilbert distortion to infer the 3D distribution of PCE. Variations in PCE content were independently detailed at three drilling locations within the NLCR survey area using direct penetration-based soil-collection tools. Approximately 400 soil samples were collected and analyzed for chlorinated solvent mass composition at 1-ft (0.3-m) vertical intervals to compare with the NLCR-predicted distribution of DNAPL. The optimum performance for 1,000 mg/kg PCE was ~80% detection (true positives) with ~30% false alarms (false positives) at an effective resolution of 4 ft (1.2 m), or ~1/4 of the interwell separation. When smoothed to 12-ft (3.7 m) resolution (comparable to well spacing), detection was 100% with just 12% false alarms. NLCR successfully predicted the general distribution of PCE at parts-perthousand soil-mass fractions, specifically widespread near-surface contamination and a zone of discontinuous stringers and pods below the source.
Archive | 2003
Joseph Rossabi; Warren K. Hyde; Brian D. Riha; Dennis G. Jackson; Frank Sappington
Archive | 2009
Brian D. Riha; Brian B. Looney; Jay V. Noonkester; Keith Hyde
17th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems | 2004
Victoria Briggs; John Sogade; Burke J. Minsley; Michael Lambert; Phil Reppert; Darrell Coles; Joseph Rossabi; Brian D. Riha; Weiqun Shi; Frank Dale Morgan
Archive | 2003
Victoria Briggs; John Sogade; Burke J. Minsley; Michael Lambert; Darrell Coles; P. Repert; Frank Dale Morgan; J Joe Rossabi; Brian D. Riha
17th EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems | 2004
Burke J. Minsley; John Sogade; Victoria Briggs; Michael Lambert; Phil Reppert; Darrell Coles; Joseph Rossabi; Brian D. Riha; Weiqun Shi; Frank Dale Morgan
Remediation Journal | 2012
Jay V. Noonkester; Brian D. Riha; Gary M. Birk; Braden H. Rambo
Archive | 2012
Brian D. Riha; Brian B. Looney
Archive | 2012
Brian D. Riha; Jay V. Noonkester; Brian B. Looney; W. Keith Hyde; Richard W. Walker; Stephen D. Richardson; Brad Elkins; Walter Beckwith
Symposium on the Application of Geophysics to Engineering and Environmental Problems 2004 | 2004
Joseph Rossabi; Brian D. Riha; Dennis G. Jackson