Ss. Hubbard et al., Hydrogeological characterization of the South Oyster Bacterial Transport Site using geophysical data, WATER RES R, 37(10), 2001, pp. 2431-2456
A multidisciplinary research team has conducted a field-scale bacterial tra
nsport study within an uncontaminated sandy Pleistocene aquifer near Oyster
, Virginia. The overall goal of the project was to evaluate the importance
of heterogeneities in controlling the field-scale transport of bacteria tha
t are injected into the ground for remediation purposes. Geochemical, hydro
logical, geological, and geophysical data were collected to characterize th
e site prior to conducting chemical and bacterial injection experiments. In
this paper we focus on results of a hydrogeological characterization effor
t using geophysical data collected across a range of spatial scales. The ge
ophysical data employed include surface ground-penetrating radar, radar cro
ss-hole tomography, seismic cross-hole tomography, cone penetrometer, and b
orehole electromagnetic flowmeter. These data were used to interpret the su
bregional and local stratigraphy, to provide high-resolution hydraulic cond
uctivity estimates, and to provide information about the log conductivity s
patial correlation function. The information from geophysical data was used
to guide and assist the field operations and to constrain the numerical ba
cterial transport model. Although more field work of this nature is necessa
ry to validate the usefulness and cost-effectiveness of including geophysic
al data in the characterization effort, qualitative and quantitative compar
isons between tomographically obtained flow and transport parameter estimat
es with hydraulic well bore and bromide breakthrough measurements suggest t
hat geophysical data can provide valuable, high-resolution information. Thi
s information, traditionally only partially obtainable by performing extens
ive and intrusive well bore sampling, may help to reduce the ambiguity asso
ciated with hydrogeological heterogeneity that is often encountered when in
terpreting field-scale bacterial transport data.