Tool Descriptions
| Tool | Description/References | Data Quality/Advantages | Disadvantages |
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| Desktop Survey and Surface Geology | |||
| Geologic Literature and Map Review | |||
| Topographic Maps | Topographic maps display elevation using contours. They can include other information such as hydrography, geographic place names, cultural features, roads and trails, benchmarks, surface water, and much more. The scale of the contours range from hundreds of feet on large-scale topographic maps to 10 feet per contour on finer scale topographic maps, such as the USGS standard 7.5 Minute (1:24,000) Topographic Map (USGS 2017f) | Data Quality
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| Aerial Photographs | Aerial photographs provide a large-scale view of surface features, vegetation, and access to sites. Large-scale lineaments can be identified and traced (inferred) for large distances at times. Stereo photos are invaluable in high-relief terrains. Collections are often available at universities, flood control districts, and other various government agencies. | Data Quality
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| Satellite Imagery | Satellite imagery can be a useful mapping tool for small to large scale imagery. Using declassified data from USGS, NASA, NOAA, or a variety of commercial high resolution satellite providers, a variety of data can be gathered depending on scale of image. | Data Quality
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| Regional Geologic Maps | The geologic mapping and geomorphic techniques are usually some of the first techniques applied to the study of a fractured rock site. Where they are available, geologic maps provide invaluable initial information upon which to base subsequent investigation activities. Where such data are not available, initial desktop studies are conducted to provide a basic framework for further study. These studies include aerial photographic interpretation and using topographic maps. | Data Quality
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| Nonpublished Report | Masters theses, PhD dissertations, Academic research, USGS, Bureau of Land Management, Bureau of Mines, State Geological Society, mining industry reports | Data Quality
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| Lineament Analysis | Satellite imagery, side-looking airborne radar, and high altitude aerial photography enable lineament analysis to locate linear features that may be associated with rock fractures. These linear features are typically different from patterns manifested by surrounding features and can include various forms of topographic expression including vegetation, straight stream segments, and soil and rock coloring. Lineaments can provide useful information regarding subsurface features and other structures that may drive groundwater recharge, as well as migration and discharge. | Data Quality
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| Surface Reconnaissance | |||
| Outcrop Surveys | Outcrops display lithologic, structural, and weathering characteristics that are important to design future investigations. The condition of the outcrop, whether the outcrop in is in-place or has been sloughed (moved from its original position), the freshness of the rock face, the stability (weathering) of the outcrop, the frequency of outcrops in the area of concern, and accessibility affect the quality, reliability, and density of the data collected. | Data Quality
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| Preliminary Fracture Orientation Measurements | Fracture orientation is often taken using a compass and an inclinometer on exposed rock faces. More advanced methods include nonreflector total station techniques that capture three-dimensional coordinates of target points without using a reflector. Light Detection and Ranging (LIDAR) – is a remote sensing method used to examine the surface of the Earth. (Service 2017) | Data Quality
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| Systematic Discontinuity Mapping (type, spacing, roughness, coatings/infill, weathering) | Systematic lineament analysis uses an automated fracture mapping algorithm based on image processing and analysis techniques. Images of a rock exposure surface are made using digital cameras. Gray scale images are preprocessed to remove color information and any noise or distortion. Smoothed images are converted to binary images and these images are then thinned to extract a fracture map. Fracture properties such as length, width, orientation, and large-scale roughness are determined using photogrammatic techniques (Antony 2005; Kocal). | Data Quality
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| Springs and Wetland Surveys | Wetlands and springs can indicate surface expressions in rock fractures. Spring and wetland surveys can be obtained from various state departments of conservation, geology, environmental protection, or fish and wildlife. These surveys can also be obtained from USGS, Bureau of Land Management, U.S. Fish and Wildlife Service, and university studies. | Data Quality
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| Geophysics | |||
| Surface Geophysics | |||
| Ground Penetrating Radar | Ground-penetrating radar (GPR) sends electromagnetic waves from a transmitter into the subsurface and collects the return of that energy at a receiving antenna. GPR creates a cross-sectional image of the ground based on the reflection of an electromagnetic (EM) pulse from boundaries between layers of different dielectric properties. The quality of the results depends on soil and water conditions because clay, water, and salinity reduce penetration. GPR is useful in resolving stratigraphic layers; however, independent confirmation of lithology is required.
GPR generates a two-dimensional (2D) profile, but it can be run with multiple lines in a grid pattern to generate a pseudo-three-dimensional (3D) image. Penetration and resolution of features depend on antenna frequency and material conductivity and interferences, and are generally limited to a depth of 20 m or less. In some cases, GPR can identify internal structures between material-bounding reflectors (such as cross-bedding). GPR can locate geologic material or property contacts associated with dielectric property contrasts (for example, proxy for porosity in some water-saturated clastic sediments) as well as subsurface infrastructure (such as pipes, tanks, and cavities). This method is often similar to the seismic reflection method to image bedrock troughs and offsets in bedrock surfaces. It is a rapid and relatively easy survey method, but limited by the presence of strong conductive layers that the method cannot penetrate. This method can be used in conjunction with other methods, particularly where the bedrock surface is at shallow to intermediate depths and is overlain by relatively resistive layers. In these cases, the method can be used to quickly assess whether linear features identified through lineament analyses are associated with increased depths with bedrock troughs or have another characteristic that might be related to fractures, such as a thickened weathered zone. (Annan 2005b; Beres 1995; Clement 2006; Guerin 2005; Buursink 1991) (USEPA 2004) |
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| High-Resolution Seismic Reflection (2D or 3D) | With high-resolution seismic reflection, 2D cross-sectional imaging of the ground is based on the reflection of a seismic pulse from the boundaries between the layers of contrasting mechanical properties. The image can be broadened to 3D to account for off-section changes.
This type of imaging evaluates both compression (P) waves and shear (S) waves, and profiles multiple stratigraphic layers to large depths. These data require more processing than other geophysical methods, but can provide highly detailed representations of the subsurface—particularly the soil/bedrock interface. The utility in fractured rock characterizations is to identify discontinuities that may be related to fracture zones, velocity contrasts that might be indicative of fractures, or bedrock troughs at the bedrock/overburden interface that may indicate zones of weakness. Shear wave and multicomponent seismic reflection data acquisition and processing can enhance data capture for interpreting fractures within geologic units. (USEPA 2004) (ASTM 2005) (Wightman 2003) |
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| Seismic Refraction | With seismic refraction, 2D cross-sectional interpretation of layering is based on estimating travel of seismic energy down to, along, and up from boundaries between layers of increasing seismic velocity. This type of imaging evaluates both P-waves and S-waves.
Seismic refraction data can be used to map both vertical and horizontal changes in travel time and velocity. Delay time differences and changes in velocity can be used to infer the potential changes in velocity. One method of using refraction to identify fracture orientation is to complete seismic lines in incremental azimuths about a common center point. The seismic velocity for each point beneath each line is then plotted for each radial distance about that common point. High seismic velocities generally are aligned parallel to the primary alignment of fractures. Low seismic velocities are oriented perpendicular to the strike of the fractures. This approach assumes that the fractures or fracture zone is large and contiguous. Small fractures or disconnected fractures would not be imaged using this technique. |
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| Multichannel Analyses of Surface Wave (Seismic Surveys) | The multichannel analysis of surface waves (MASW) method uses the dispersive characteristics of surface waves to determine the variation of S-wave velocity with depth. S-wave data are calculated by analyzing the seismic surface waves generated by an impulsive source recorded by an array of geophones.
2D imaging is cross-sectional imaging of the ground-based reflection of a seismic pulse from the boundaries between layers of contrasting mechanical properties. S-wave velocity is a function of the elastic properties of the soil and rock and is directly related to the hardness and stiffness of subsurface materials. (Park 1999) |
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| Electrical Resistivity Tomography | Electrical resistivity profiling is performed to identify contrasts in electrical resistivity between differing subsurface materials. This technology uses arrays of electrodes that transmit and receive electrical energy through the subsurface. The depth of penetration is related to both the physical properties of the materials encountered and the geometry of the electrode array. Data processing and initial interpretation should be completed by a trained professional (licensed, if required by state or province) or by a qualified geophysicist.
Typical deliverables from a geophysical contractor consist of a report, figures, and interpretive resistivity cross-sections. A resistivity cross-section consists of a plot depicting the measured earth resistivity at various depths and locations along the cross section. These data are typically contoured and displayed using a gradational color-scheme ranging from low to high resistivity. The responses observed in and the utility of this method in fractured rock settings depend on several factors such as the rock type, degree of fracturing, nature of fracture infilling (if any), water within fractures, and mineralization. Generally, this technique is most useful for identifying steeply dipping to near vertical, water-filled fractures. These features are interpreted from where areas of lower resistivity are separated by areas of higher resistivity areas. Typically, resistivity lines are laid out across a site and an attempt is made to correlate low conductivity areas across lines to infer fracture orientation. A variation of this technique, called the azimuthal square-array electrical resistivity, can determine the strike of a conductive feature in the subsurface. (Binley 2005; Telford 1990; ASTM 1999a) |
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| Very Low Frequency | Very low frequency (VLF) analysis uses signals transmitted from military installations and measures the resulting induced field effect. Typically, this effect is an electromagnetic response that is a result of local conductors such as water-filled fractures. The response is strongest for steeply dipping water filled fractures that are oriented in line with the direction toward the transmitters. Generally, lines are laid out in the field, and measurements are made along each line. Data is then plotted for each line. Anomalies that may be related to fluid-filled fractures are then plotted and correlations across lines are made where warranted. These data should be interpreted within the framework and understanding of the mesoscopic scale, including other geophysical methods, point data, structural mapping data, and lineament analyses. These results clarify how the CSM represents fracture orientation, depth, and potential relationships to fluid flow. The results also can inform well placement and may increase the likelihood of intercepting fractures at the site of interest. | Data Quality
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| Electromagnetic Conductivity | Electromagnetic conductivity (EC) imaging maps variations in EC using a local primary field. This analysis is either a frequency-based (lateral variations to a set depth) or time-based system (vertical sounding).
Time-domain electromagnetic methods (TDEM) produce data that are interpreted similar to resistivity methods. In this case, the electrical conductivity of geologic and hydrogeologic phenomena are interpreted, but the decay of the current is measured over time. The setup generally consists of a large horizontal wire laid out in a square on the surface. The depth of penetration is related to the size of the square, with larger squares achieving deeper signal penetration into the subsurface. The transmitter is turned on and off while the decay of the secondary magnetic field is measured at a receiver. In a low resistivity layer, the decay is slow, while in a highly resistive layer the decay is fast. Completing a profile over a conductor would show an increase in the delay as the array is passed over a conductor. Profiling is completed and interpretations of the delay times are used to evaluate changes conductivity that may be indicative of subsurface structures. This technique is most commonly used in mineralogical exploration, but can be adapted for groundwater and study of structures such as faults or near vertically oriented, fluid filled fractures. Frequency domain electromagnetic methods (FDEM) methods (also known as EM or terrain conductivity) operate like TDEM, except that signals of known frequency are introduced using a transmitter coil while a receiver coil measures the secondary field response. Differences in the primary and secondary fields result from the effects of changes in conductance of subsurface materials in depth and along the survey line. Generally, the depth of penetration is related to the spacing of the transmitter and receiver coils. The farther apart the coils, the greater the depth of penetration. Using this technique for fracture identification is like using the methods described above in that vertical to steeply dipping conductive features are apparent on profiles. Mapping profiles in plan-view can indicate likely fracture orientation. The thickness of the unconsolidated deposits above the bedrock surface affects the resolution of the results, with thin unconsolidated deposits resulting in a higher likelihood that a signal from a vertical to steeply-dipping, fluid-filled feature can be resolved. This technique alone does not confirm the presence of a fracture (McNeill 1994). |
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| Electrical Resistivity Imaging (ERI) | A geophysical contractor completes profiles using an array of electrodes to transmit and measure current using an electrical resistivity unit. | Data Quality
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| Induced Polarization (IP) | A geophysical contractor lays out transmitting and receiving electrodes, induces a transient current into the ground, and then measures the corresponding decay of the signal (Zonge 2005). | Data Quality
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| Microgravity | Microgravity uses precise instrumentation that can detect slight changes in the density of soil or rock to detect voids or areas of differential weathering associated with fractures. Microgravity analysis can interpret the size and volume of a void or deeply weathered zone. The magnitude of a microgravity anomaly decreases and the width increases with increasing depth to the feature. The detectability of an anomaly depends on the size, density contrast, and depth.
A gravimeter is used along a survey line or grid. Many discrete measurements are made over the survey area and then are averaged to increase the signal-to-noise ratio. The data are postprocessed to remove effects of topography, earth tides, and drift. (ASTM 1999b) |
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| Down Hole Testing | |||
| Magnetometric Resistivity | Magnetometric resistivity measures the induced magnetic field created by a current passing between two electrodes. The investigation depth is controlled by electrode spacing (Hoover 1987). | Data Quality
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| Induction Resistivity (Conductivity Logging) | Induction resistivity uses inductive measurements of apparent conductivity. Given the appropriate contrasts, variations in lithology (especially relative clay or silt content) and water (relative porosity, relative total dissolved solids, or conductivity/resistivity) can be recognized with this tool. Marked reductions in resistance, as measured in millivolts followed by a relatively quick return to previous measurements, may indicate the presence of a fluid filled fracture. The formation without borehole and very-near borehole effects can be sensed.
Resistivity changes within the fluid-filled portion of the borehole are measured with this method. Changes or inflections in fluid resistivity may indicate the presence of a fracture contributing water to the borehole with either a higher or a different dissolved solids content than the fluid in the borehole. (Keys 1990; Kobr 2005; McNeill 1986, 1990) |
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| Resistivity (Elog) | The resistivity method uses a galvanic measurement of resistivity, with various configurations of current and potential electrodes. The normal resistivity-logging unit has electrodes placed at standard separation distances usually denoted as short-normal (nominal 16 inches) and long-normal (nominal 64 inches). The depth of penetration outside the borehole wall is greater for the long-normal spacing. (Keys 1997; COLOG 2012) | Data Quality
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| Ground Penetrating Radar (GPR) Cross Well Tomography | GPR imaging requires wells of appropriate diameter, nonmetallic casing/screen material, spacing. Approprate depth depends on the problem, aquifer dimensions, and subsurface materials. The lateral penetration distance and resolution are functions of antenna frequency and EC and dielectric properties.
Borehole radar logging can be used in either reflection or cross-hole tomographic arrangements. In the single-hole reflection mode (transmitter and receiver in the same borehole), fractures and cavities that may either be connected or may not intersect the borehole can be imaged, including some that do not intersect the borehole. In tomographic applications, the transmitter and receiver are placed in separate boreholes. As the position of each are changed, their positions are changed multiple times within each borehole, measurements of signal amplitude and travel time are made. Measurements of travel times and signal attenuation differences are combined in a tomogram, which is then used to interpret fractures, voids, and potentially lithologic differences based on the travel time and signal attenuation differences. (Annan 2005a; Chen J. S. 2001; Day-Lewis 2003; Dafflon, Irving, and Barrash 2011; Ernst 2007; Irving 2007) |
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| Seismic Tomography | Seismic tomography is like cross-hole radar, except that seismic energy is used rather than electromagnetic energy. Seismic sources are placed in one borehole and receivers are placed in an adjacent borehole. Data are processed to produce either seismic velocity change information between boreholes or seismic attenuation information. The resulting images are used to evaluate the potential for fracture zones between boreholes. (ASTM 1991) | Data Quality
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| Optical Televiewer | An optical televiewer produces an oriented visual image of the borehole wall. This method helps to evaluate fracture orientation and aperture size in bedrock investigations. The image is originally in a downward direction, and undergoes restoration to correct for optical distortion.
The optical televiewer may be used in either an air or water filled borehole and uses visible light to create a digital image the borehole wall. It has the advantage of operating in air, but the water must be clear to produce a useful image. The resulting optical image can be interpreted to identify planar features (such as fractures, joints, and bedding planes), voids, and solution features, which intersect the borehole. Using the appropriate software tools, the dip angle, dip azimuth, orientation and aperture of the planar features can be estimated. The data from the optical and acoustic televiewers complement one another. (USEPA 2004; Keys 1997; COLOG 2012) |
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| Acoustic Televiewer | An acoustic televiewer obtains a highly detailed measurement of borehole diameter by timing the return reflection of an acoustic pulse off the borehole wall back to the probe. It provides a record of the location, character, and orientation of features in the casing or borehole wall that alter the reflectivity of the acoustic signal.
The acoustic televiewer can only be used in a fluid filled borehole and uses acoustic energy to image the borehole wall. It has the advantage of operating in water or mud filled boreholes. The resulting acoustic image can be interpreted to identify planar features (such as fractures, joints, and bedding planes), voids, and solution features, which intersect the borehole. Using the appropriate software tools, the dip angle, dip azimuth, orientation and aperture of the planar features can be estimated. The data from the acoustic and optical televiewers complement one another.(USEPA 2011; Keys 1997; USEPA 2004; COLOG 2012) |
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| Natural Gamma Logging | Natural gamma logging is most commonly used to identify lithology and stratigraphic correlation. It is sensitive to the natural gamma radiation from minerals, detected at a sodium iodide crystal in the logging tool. Relatively higher counts in noncarbonate clastic sediments are commonly associated with fines (clay, silt), but also with K-feldspar, micas, and some mineral deposits (such as uranium, thorium, potash, and phosphate). Sensitivity is related to crystal size and logging speed.
This technique can be useful in fractured sedimentary rock formations to differentiate sand units from shale units (or sands from clays in unconsolidated formations). This approach can aid significantly in correlating features between boreholes across a site. In fractured metamorphic and igneous terrane, this method can indicate clay-filled fractures and may help to differentiate between transmissive and nontransmissive features (Keys 1990)(Keys 1997; USEPA 2004; COLOG 2012). |
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| Neutron (Porosity) Logging | Neutron porosity probes with a large source and long spacing are used to measure saturated porosity and moisture content in a wide range of borehole diameters, above and below the water table.
The neutron source emits known flux at known energy. Collisions with hydrogen are highly moderated because of similar mass, so reduced count rates at a detector(s) in the tool indicate the presence of hydrogen (commonly water in shallow environmental applications) in the volume of influence. Water content in pores below the water table can be converted to porosity. Well-known transforms can quantitatively convert count rates to porosity if calibration information is available from calibration wells, samples, or literature (Keys 1990) (Barrash 2002; Keys 1997) (USEPA 2004). |
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| Nuclear Magnetic Resonance Logging | The measured nuclear magnetic resonance (NMR) signal is generated directly by hydrogen nuclei in pore fluids, and it conveys detailed information about the physical and chemical pore environment in which the water resides. The NMR signal amplitude is linearly proportional to the volumetric water content. Thus, NMR methods can be used to determine porosity in the saturated zone or moisture content in the unsaturated zone, without any site or lithology-specific calibration. Relaxation or decay behavior of the NMR signal is strongly sensitive to the pore size distribution—mobile water in large pores exhibits long decay time and water in small pores exhibits short decay time. Decay time behavior is commonly used to estimate a relative pore size distribution and, with porosity estimates based on the signal amplitude, forms the basis for robust permeability estimation with the Kozeny-Carman relationship (Daughney 2000) (Kenyon 1988; Maliva 2009; Walsh 2010). | Data Quality
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| Video Log | A video log is produced using a digital video camera that records down the length of a borehole (COLOG 2012). | Data Quality
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| Caliper Log | A caliper log is a mechanical measurement of borehole diameter based on the extension of three or four caliper arms. Changes in diameter are plotted in a vertical strip chart. Enlargement in borehole may represent changes in lithology or zones of weakness or caving where fractures joints, bedding planes or other features intercept the borehole wall. This log is also used in conjunction with other logs because deviations in the borehole diameter can affect log response for other instruments. A caliper log can provide information on lithology and secondary porosity (Keys 1997; COLOG 2012). | Data Quality
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| Temperature Profiling | The temperature of the borehole fluid is measured with this probe. Changes or inflections in borehole fluid temperatures may indicate zones where groundwater flow is entering the borehole. Vertical flow in the borehole can be inferred based on temperature gradient changes and difference from normal regional gradient values (Keys 1997; COLOG 2012). | Data Quality
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| Full Wave Form Seismic | A seismic pulse is created by the full wave form seismic probe and measured at a series of transducers on another part of the sonde. Travel time and character of the pulse varies as it travels along borehole wall and the immediately surrounding rock mass (Fichtner 2011). | Data Quality
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| Penetration Rates | Site engineer or geologist tracks bit penetration rate and drilling behavior as the borehole is advanced. | Data Quality
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| Fluid Circulation Rates and Observations | Site engineer or geologist works with driller to track fluid circulation rates, changes, and losses. Also characterize fluid returns in terms of color changes and volumes. | Data Quality
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| Multitool (Gamma, Resistivity, Spontaneous Potential, Temperature, Specific Conductance) | Geophysical subcontractors use sondes with multiple tools: natural gamma, resistivity, spontaneous potential (SP), temperature, and specific conductance (SC) to measure key borehole responses. | Data Quality
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| Hydraulic Testing | |||
| Single Well Tests | |||
| Packer Testing | Packer testing involves isolating a depth-discrete section of the borehole with straddle packers and conducting any of the hydraulic tests (slug tests, constant head step test, pumping/recovery tests, pressure injection tests).
Packers can also be used in an overburden well if the well construction allows meaningful data to be obtained. (Bliss 1984; Gale 1982; Lapcevic P.A. 1999; Maini 1971; NRC 1996; DM. 2006; Price 2009)(Reclamation 1977; Sara 1988)(Quinn 2012; Zeigler 1976) |
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| FLUTe Profiling | FLUTe profiling is a newer method in which a continuous T profile is obtained for an entire hole by driving a liner down the hole with water pressure and measuring the descent velocity.
The FLUTe Transmissivity Profile is a proprietary service offered by Flexible Liner Underground Technologies, LLC, and consists of a blank FLUTe liner deployed in an open borehole. The velocity at which the liner everts into the borehole is measured and decreases as the liner closes off transmissive features such as fractures, joints, and bedding planes. As the liner everts into the borehole the velocity is reduced. FLUTe uses the velocity data, borehole geometry, and head data to create a transmissivity and hydraulic conductivity profile of the borehole. The profiles are useful in identifying transmissive as well as nontransmissive features in the borehole. The Flute Reverse Head Profile allows for interpretation of vertical gradients between features identified in the FLUTe Transmissivity Profile. |
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| Borehole Dilution Tests | Borehole dilution tests determine the Darcy flux out of a well based on the dilution of a tracer placed in a well over time (Drost 1968; Lee 1985) | Data Quality
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| Flow Metering | With flow metering, vertical flow (ambient or pumping induced) in a well or borehole is measured with depth. (Rushton K.R. 1985; Theis 1935; Warren JE 1962; Paillet 2000; Paillet 2001; Paillet 2010) | Data Quality
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| Partitioning Interwell Tracer Test (PITT) | The partitioning interwell tracer test (PITT) method is used to more accurately characterize the amount of nonaqueous phase liquid (NAPL) in the subsurface. Injection wells release multiple tracers that partition into the NAPL to different degrees, and the chromatographic separation is observed at the extraction wells, which provides a fairly accurate measurement of the volume of NAPL.
More than 50 PITTs were used at contamination sites to derive quantitative estimates of saturation and volume of DNAPL in subsurface. In most cases, tests were performed to assess remediation performance. During a PITT, a suite of conservative and partitioning tracers injected via wells migrate with groundwater to the extraction wells. Partitioning tracer velocities are retarded to various degrees depending on their affinity to partition; thus, tracer travel times, in conjunction with laboratory measurements of NAPL-water partitioning coefficients, are analyzed to estimate saturation of NAPL in the interwell zone during the test. Single-well, push-pull tests have been proposed to characterize near-well NAPL presence, and gas-phase PITTs have been applied to estimate NAPL volume in the vadose zone. (Hartog 2010; Cain 2000; Jin 1995) (Young et al. 1999; Mariner 1991; Rao 2000; Menardus 2002; Londergan 2001) (ESTCP 2012); (Brooks 2002); (Werner 2003; Imhoff 2003; Jalbert 2003; Moreno-Barbera 2006) |
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| Pumping and Recovery Tests | These tests are conducted by pumping a well at a constant rate (injection or withdrawal) while measuring pressure and flow rate. Recovery after pump shut-off is usually better behaved; however, specific storage is traditionally determined from the pumping portion. (Bentall 1963; Boulton 1977; Bourdet 1989)(Gringarten 1972, 1984, 1987; Horner 1951; Jacob 1946; Jacob 1963; Kazemi 1969; P. 1959; Rushton K.R. 1985; Cooper and Jacob 1946) (Theis 1935; Warren JE 1962) | Data Quality
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| Slug Tests (see also Discrete Interval Sampling and Constant Head Step Test) | A slug test involves instantaneously changing the head in the well and monitoring the recovery. This test is commonly initiated by submerging or removing a physical slug or by pneumatic means, by pressurizing or depressurizing the air column above the water. Well development effects can be identified if the results from rising head tests are significantly different than falling head tests with similar initial displacements.
Single well tests may generally provide some information regarding specific capacity of an individual well and an estimate of potential transmissivity. Caution should be exercised regarding single well tests and estimates of aquifer transmissivity, particularly in tight formations where borehole storage may be a large influence on pumping behavior. Slug tests in fractured rock can provide estimates of transmissivity if multiple fractures or fracture zones are penetrated. Individual fractures zones may be tested via packer testing of those fractures using straddle-packers. Pneumatic slug testing provides the ability to test a borehole or selected interval without the addition or removal of water. (Barker 1983)(Butler 1997) (Greene and Shapiro 2001; Levy 1993)(Shapiro A.M. 1998; Svenson E 2007; Zenner 2009; McElwee 1998; McElwee 2001; Murdoch 2006; R.G. 1993; Schwartz 1975; Schweisinger T 2009) |
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| Constant Head Step Tests | This method uses a series of constant rate tests conducted at increasing flow rates by either injecting or withdrawing water. Darcian flow is validated by the flow being directly proportional to the head change. (Atkinson 1994; Doe 1980; Elsworth 1986b; Haimson 1983; Mackie 1982; Price M 1977; Price M 1982; Quinn P.M. 2011; Elsworth 1986a) | Data Quality
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| Heat Pulse Flow Meter | Heat pulse flow meter (HPFM) is a borehole logging technique that uses a heating element and vertically positioned thermistors to measure movement of heated water either up or down the borehole under static and pumped conditions.
The HPFM is positioned above and then below each target (borehole features defined from optical/acoustic/fluid temperature/resistivity logs indicating the zone may be water bearing) and data are collected. The data consist of the direction, up or down, and rate of fluid flow (gallons per minute). These readings are collected under both ambient (static head) and pumping (stressed head) conditions. Features where water is either entering or existing the transmissive zones are indicated by changes in HPFM. The electromagnetic (EM) flow meter is better at measuring higher flow rates than the HPFM but is not widely available commercially. Spinner flow meters are also available but are not as sensitive as the HPFM (Keys 1990). |
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| Saline Tracing – In-well Flow | An internal, vertical flow occurs spontaneously within a borehole when zones or fractures with different hydraulic heads are bridged by the borehole conduit. The electrical conductivity (EC) of a small-volume saline slug is repeated logged by a small diameter commercially available probe. A series of consecutive tracer images (EC logs) are plotted on the same graph and changes in the tracer image position (upward or downward), the shape (asymmetry of limbs) and the size of the images are noted along with the depth associated with such changes. Velocity is calculated by multiplying the vertical distance the tracer travels divided by time. Flow is velocity times the cross-sectional area of the borehole.
Saline tracing of in-well flow is used to identify locations of transmissive fractures or fracture zones, locations of inflow and outflow fractures, direction and amount of vertical cross flows, and relative hydraulic heads between fractures by repeated logging of electrical conductivity following an injection of small-volume saline slug (Michalski 1990a). |
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| Heat Tracing – In-well Flow -with Fiber Optic Monitoring | In-well heat tracing is a temperature-based method of borehole flow logging that can be monitored using fiber optic distributed temperature sensing (DTS) systems. The technique has been used in conjunction with thermal dilution tests and active heating under ambient conditions and to map thermal conductivity and measure vertical borehole flow velocities and direction. Heat flow tracing measures flow velocities, compares favorably to more traditional methods such as impellers and heat pulse flow meters, and can measure flow rates at a broader range than those more traditional methods (Sellwood 2015; Read 2015). | Advantages
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| Temporary Test Holes | An internal, vertical flow occurs spontaneously within a borehole when zones or fractures with different hydraulic heads are bridged by the borehole conduit. Triad-like, expedited hydrogeologic characterization of contaminated bedrock sites can be accomplished by installing temporary test holes (TTH). These test holes purposely cross-connect various transmissive fracture zones on a temporary basis and in a controlled manner to induce internal vertical flows that reveal the internal architecture of the bedrock interval under investigation.
Typically, at least three deep, open-hole TTHs are installed, which are converted to monitoring wells upon completion of testing. Using an outside-in approach, two TTHs are sited along strike of bedding (or foliation) on either side of the suspected source and the third TTH is located down dip of bedding from the source area. Characterization tools for the TTHs include: televiewer, caliper, electrical conductivity and temperature logs, in-hole flow tracing (or flow meter log), depth-discrete sampling of the cross flows, and packer testing. This approach enables the hydrogeologist not only to locate transmissive fractures within the TTH, but also to quantify transmissivity and hydraulic head for any such fractures, and to determine contaminant concentrations in inflow-producing fractures |
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| Horizontal-to-Vertical Spectral Ration (HVSR) | The horizontal-to-vertical spectral ratio (HVSR) passive seismic geophysical method helps determine unconsolidated/glacial drift thickness (bedrock depth) if there are strong enough acoustic impedance contrasts between the sediments and underlying bedrock. A single station, three-component seismometer (two horizontal and one vertical) is used to record the ambient seismic noise (Lane 2008, 2007; Liu 2007). | Data Quality
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| Active Line Source Profiling | Active line source profiling detects actively flowing fractures within an open borehole. The entire borehole water column is heated via a continuous resistive heater element. Following temperature equilibration, multiple temperature profiles are then collected over time utilizing a high sensitivity temperature sensor. Comparing trends between the profiles identifies intervals where temperature aberrations develop, which is typically synonymous with flowing fractures (Pehme 2010). | Data Quality
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| Hydrophysical Logging | Hydrophysical logging is based on the measurement of induced electrical conductivity changes in the fluid column of a borehole. The technique uses advanced down-hole water quality instrumentation for the dynamic borehole environment. Hydrophysical logging identifies the locations of water between intervals, the interval-specific inflow rate during pumping, and in-situ hydrochemistry of the formation waters associated with each producing interval. By using a discrete point down-hole fluid sampler during logging, this technique can evaluate contaminant concentrations and migration of contaminants vertically within a borehole.
Various methods exist for implementation of induced electrical conductivity logging. Fundamentally they work under the same principle, i.e. to create a uniform baseline conductivity and monitor the return to ambient conditions, which first occurs at flowing fractures. The induced baseline conductivity is created by replacing the borehole storage with de-ionized water, or by dissolving a salt. Fluid Electrical Conductivity (FEC) logging, Hydrophysical Logging, and Saline Tracing are examples methods that profile in-well electrical conductivity. (Pedler). |
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| Colloidal Borescope Flowmeter | The colloidal borescope flowmeter measures groundwater flow by tracking particulate movement in the water column at discrete depths. A down-hole probe equipped with a camera uses computer software to track particle movement against a backlit surface. A built-in compass enables automated calculations of vertical flow direction (Ferry 1995; Kearle 1993; Kearle 1998; Kearl 1998; Kearl 1997). | Data Quality
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| Cross Borehole Testing | |||
| Tracer Testing | Tracer tests have long been used in fractured rock aquifers to determine flow characteristics. These tests can range from simple, single-bore saline solution distribution profiling (Michalski, 2004) to complex, multi-bore injection and withdrawal efforts (Wilson, et al., 1986, Novakowski, et al., 2004). Many practitioners in karst settings, where hydraulics stray significantly from idealized (homogeneous, isotropic) conditions, rely heavily on tracer tests to prepare CSMs and understand flow attributes.
The simplest of these karst tests involves timing of tracer transport from sink to spring locations. A tracer added to one well and an observation well is monitored to identify breakthrough. This test can be conducted under ambient flow conditions, or under the stress of pumping. (Horner 1951; Jacob 1946; Jacob 1963; Kazemi 1969; Lapcevic 1993; Novakowski 1994; Lapcevic P.A. 1999; Novakowski 2004b; Michalski 2010a; Novakowski 2004a; Wilson 1986). |
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| Fluorescent Dye Tracers | Fluorescent dye tracers have long been used in fractured rock environments, especially karst terranes. Through the injection of one or multiple nontoxic fluorescent dyes, it is possible to trace dye movement through individual fractures and groundwater flow paths either visually or analytically with the use of a spectrofluorimetry.
Dye tracing can provide valuable information about groundwater flow direction, preferential pathways, travel times, storage, or residence times, as well as provide insight into potential solute advection, dispersion, and dilution (depending on the test design and equipment used). Tracer tests can be conducted using a wide range of injection and monitoring points ranging from naturally occurring springs to monitoring wells. Trace lengths can vary from tens of feet to tens of miles, depending on site conditions and project needs. Qualitative dye tests collect samples using passive dye receptors (activated charcoal). Qualitative tests are used primarily for determination or confirmation of groundwater flow direction/pathway and delineation of drainage basins. Quantitative tests typically involve the use of automatic samplers to collect discrete groundwater samples for analysis. Quantitative tests are used primarily to determine groundwater travel times and higher level flow dynamics such as advection, dispersion, dilution, and residence time (USEPA 1998, 1989, 2002). |
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| High-Resolution 3D Hydraulic Tomography | High-resolution 3D hydraulic tomography (HT) is a cross-well hydrologic testing method that is similar in concept to medical imaging or geophysical imaging. A series of short-duration pumping tests are run successively in isolated intervals of one or more wells while pressure changes are measured in numerous isolated intervals in surrounding observation wells (or CMTs in unconsolidated sediments). Follow-up inverse modeling finds the distribution of K that best fits the measured pressure changes passing through the investigated volume from all the tests observed at all the zones.
HT has been demonstrated in the field for unconsolidated sedimentary aquifers and similar HT testing in fractured rock is in progress. Aquifer storage properties also can be estimated (Brauchler 2011; Cardiff 2012, 2013; Illman 2009; Illman 2006; Illman 2008), |
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| Pumping and Recovery Tests | Pumping and recovery tests are conducted by pumping a well at a constant rate (injection or withdrawal) while measuring the pressure in an observation well and monitoring the recovery after the pump has been shut off. This is the traditional method for determining aquifer parameters.
Pumping tests are routinely used in hydrogeological investigations to develop an understanding of aquifer responses and aquifer properties such as hydraulic conductivity and storage coefficient. In fractured rock studies, the responses are most often anisotropic in addition to being heterogeneous. This anisotropy may be reflected in an elliptical cone of depression in a uniform fracture field. In a nonuniform fracture field, the cone of depression is likely to be complex and evolve over time until a steady-state condition is reached. In fact, the transient response of the aquifer to the induced stress of a pumping test can be informative as to the connectivity of the fracture network. The timing and magnitude of observed responses from pumping provides valuable information relative on to both the individual fracture flow characteristics and the behavior of the bulk volume tested. Fracture conductivity, bulk conductivity, storage properties of secondary features and primary rock are often estimated from the analyses of these tests. In some cases, intervals can be isolated and testing conducted to evaluate the productivity and/or interconnectivity of individual fractures or fracture zones with the overall network. Methods of analyses of data can consist of the following:
Pumping tests using multiple pumping/injection wells may also be performed to evaluate the superposition effects of pumping/injection or may be used in cases where discontinuous fracture networks limit the area of influence of individual wells. Multiple tests may also be used to evaluate the potential effectiveness of pump and treat remedial scenarios, such multiple capture wells or coupled pumping and injection scenarios (McElwee 2001; Murdoch 2006; R.G. 1993; Schwartz 1975; Schweisinger T 2009; Shapiro A.M. 1998; Svenson E 2007; Zenner 2009; Bentall 1963; Boulton 1977; Bourdet 1989; Cooper and Jacob 1946; Gringarten 1972, 1984, 1987) |
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| Slug Tests | A slug test involves instantaneously changing the head in the well and monitoring the recovery in the well and adjacent monitoring well. The test is commonly initiated by submerging or removing a physical slug, or by pneumatic means by pressurizing or depressurizing the air column above the water. Well development effects can be identified if the results from rising head tests are significantly different than falling head tests with similar initial displacements.
(Atkinson 1994) (Elsworth 1986a) (Doe 1980)(Haimson 1983; Mackie 1982; Price M 1977; Price M 1982; Quinn P.M. 2011; Barker 1983)(Greene and Shapiro 2001; Butler 1998; Levy 1993)(McElwee 1998; McElwee 2001). |
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| Vapor and Soil Gas Sampling | |||
| Passive and Active Soil Gas Sampling | Volatile and semivolatile compounds move in the unsaturated zone in all directions with air permeability to establish equilibrium concentrations. This movement occurs from the point of release and includes all adsorbed phase VOCs and SVOCs as well as dissolved phase compounds in groundwater. This movement is the primary cause for incomplete delineation of subsurface impacts in unconsolidated or consolidated subsurface media during traditional methods of investigation that include only soil and groundwater sampling.
Vapors create a VOC and SVOC cloud footprint much larger than the adsorbed and dissolved phase footprint resulting in higher probability of detecting and delineating impacts in the subsurface and therefore the lowest probability of false nondetect. Soil gas surveys are a good screening tools for subsurface impacts of VOCs and SVOCs due to (1) the limitations of contaminant localization during soil and groundwater sampling and (2) the high probability of false nondetects resulting from heterogeneous distribution of adsorbed and dissolved phase compounds. Passive soil gas (PSG) samplers can collect time integrated samples over days or weeks to target a wide range of VOCs and SVOCs to identify potential vapor intrusion pathways and delineate the lateral extent of contaminants (for example, Beacon BeSure PSG Samplers). PSG sorbent samplers consist of hydrophobic adsorbents housed in glass vials or membranes that are typically installed in shallow, small diameter holes (for example, 2.5 cm diameter and less than 1 m deep) in uniform grid patterns or in transects. Compounds in soil gas diffuse through the soil pore spaces and are adsorbed by the sorbent samplers, which are exposed to soil gas for a few days to weeks to collect time-integrated measurements. Following exposure, samplers are analyzed at a fixed laboratory using accredited GC or GC/MS methods that can achieve low detection limits of individual compounds with documented accuracy. Fractured Bedrock Applications Soil gas surveys may also be useful for tracking fracture connectivity. Specifically, if fractures in bedrock are exposed to vadose zone unconsolidated sediments, the fractures become conduits for VOCs and SVOCs preferentially migrating in the fractured media and can be detected near the surface by subsurface soil gas sampling methods. The quality of the results depends on the concentrations of target compounds, the vapor pressure of compounds, thickness and soil type of unsaturated overburden media, and depth to groundwater. Generally, closely spaced soil gas sampling transects combined with shallow groundwater conditions result in a high resolution and high confidence identification of preferential pathways and fracture connectivity in a fractured rock setting. Field Deployment Guidance Sample spacing with soil gas sampling depends on site- specific criteria and can generally be defined as high and low resolution. High resolution uses a tight sampling grid (such as 3–10 m spacing) that helps to define the edges of soil gas plumes related to source areas. Low resolution uses wider spacing intervals (such as 15–50 m spacing) that define soil gas plumes related to migrating dissolved phase VOCs and SVOCS in groundwater or LNAPL plumes (ASTM 2016; USEPA 2015) |
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| Solid Media Sampling and Analysis Methods | |||
| Soil Media Sampling Methods | |||
| Rock Coring | Rock coring is achieved through conventional or wire line tooling systems. Conventional systems require the entire rod string to be retrieved to access the core, while wireline systems allow core retrieval with a wire rope and winch. The purpose of both systems is to recover competent rock cores in a wide variety of diameters. Industry standard tooling system sizes are designated with the letters A, B, N, H, and P, the most common of which are N (1.8 inch core) and H (2.5 inch core). Most commonly, the sampling system consists of an outer barrel and inner barrel. Drill rods advance the outer barrel and cutting bit, while the inner barrel remains rotationally stationary and encompasses and grips the core for retrieval. Various carbide and diamond bits are manufactured to cut a wide range of rock types.
Rock coring requires high rotational speeds for good penetration rates. Most multipurpose geotechnical drill rigs perform well for shallow cores, while dedicated core rigs are used for deeper hole exploration work (ASTM 2013). |
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| Air Rotary Tricone | Grinds through weakly consolidated bedrock with rotating bit, ideal for weakly consolidated material or if hole is small diameter (<6 inches). Air forces cuttings to the surface (Jorge 2015). | Data Quality
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| Air Rotary Hammer | Hammer bit pulverizes rock, air forces cuttings to the surface. | Data Quality
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| Air Rotary Reverse Circulation | Hammer or tricone bit pulverizes rock, air flows through outer space of dual wall drill pipe, cuttings diverted through central space of drill pipe to surface. Blocks off upper zones so multiple water bearing zones can be identified | Data Quality
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| Mud Rotary | Tricone bit pulverizes rock, drilling mud suspends cuttings that are brought to the surface and separated out to identify lithology | Data Quality
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| Solid Media Evaluation and Testing Methods | |||
| Core Logging | Core is logged by a geologist for lithology and any small-scale heterogeneities. The information gathered by this method includes the following:
The procedure for core logging is detailed in (ASTM 2014) |
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| Percent Recovery and/or Rock Quality Designation | Preliminary rock mass quality can be quickly estimated by measuring core recovery and calculating the rock quality designation. Core recovery is a percentage of the measured length of core in the core barrel divided by the length of the core run. Rock quality designation is a calculated percentage of the sum of recovered core pieces that are a minimum of 4 inches long (measured at core center) divided by the length of the core run. (ASTM 2008c) | Data Quality
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| Contaminant Analysis | Contaminant analysis is best achieved by sampling the soil/rock core; however, the core material can be screened using field instruments to minimize the number of samples analyzed in the laboratory. Field instruments, in expedited evaluations or not, are useful in avoiding and understanding custody chain problems, understanding cross contamination, interpreting results in situ, and improving the procedure to minimize errors.
In rock material sampling for evaluating metals and heavy metals contaminants, the technical record of the drilling crown is indispensable. The contamination elements are compared with the constituents of the alloy of the drilling crown. The stiffer the rock, the higher the contamination caused by the crown detrition. (Camel 2000; Dincutoiu 2003b, a; Dincutoiu, Gorecki, and Parker 2006; Ganzler, Salgo, and Valko 1986; Hewitt 1998; Kennel 2008; Kinniburgh and Miles 1983; Lawrence 1990; Lopez-Avilla 1994; Richter 1996; Spence 2005; USEPA 1999) |
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| Geochemical Composition and Mineralogy | This method involves testing for solid-phase organic carbon, reactive minerals (such as pyrite), carbonates, iron and manganese oxides, clay mineralogy, and leachable chloride. It is important to understand which components come from the rocks and which are contaminants that come from the surrounding material or the fluid that percolates through it. The composition of the rock is compared with the analytical results of the evaluation of metals to understand where various rock components come from (Nicholson 1983; Reardon 1983; Nelson 2001; Al 2006). | Data Quality
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| Physical Properties | The soil/rock core is sampled for physical and mineralogical analyses (such as permeability, porosity, fraction of organic carbon, and mineralogy).
(ASTM 2008a, 2010a, 1986, 2001, 2010c)(Churcher 1987; Tanikawa 2009; ASTM 2008b; Cooper and Jacob 1946; Beyers 1978) |
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| Microbial and Molecular Diagnostics | This method involves identifying the indigenous microbe population, conducting microcosm studies, or both (Parker B.L 2011). | Data Quality
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| Direct-Push Logging (In Situ) | |||
| Hydraulic Profiling Tool | The hydraulic profiling tool (HPT) is a direct-push probe with a screened injection port on the side of the tool where water is injected into unconsolidated formations as it is advanced at 2 cm/sec through virgin materials. A pressure sensor located in the probe assembly measures the pressure required to inject water into the formation at a flow rate of 200–300 milliliters ml/min. A flow module at the surface contains a pump and flow meter that measures the injection flow rate. The HPT probe includes an EC array that provides an EC log of the bulk formation. A notebook computer with Acquisition software provides real-time viewing of pressure, flow rate, and EC logs as the tool is advanced. Dissipation tests may be performed to evaluate hydrostatic pressure at multiple intervals and determine water levels. The HPT pressure log and EC log provide detailed information about lithology and hydrostratigraphy. Cross sections based on HPT pressure logs may be used to interpret hydrostratigraphy and define migration pathways and aquitards. The HPT flow rate and pressure data can be used to calculate a log of estimated hydraulic conductivity for the local formation. It takes about 1 hour to complete a 60 ft log. Logs to depths of over 100ft have been obtained. (Binder 2008; Kober 2009)(McCall 2011; McCall et al. 2009; McCall 2010) | Data Quality
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| Electrical Conductivity Logging | A robust DP probe can be pushed and advanced under a percussion hammer into unconsolidated formations to depths of more than 100 ft in amenable formations. The Wenner array probe has four evenly spaced electrodes where current is applied to the formation and the resulting voltage is measured. The probe can be advanced at rates as high as 5ft/min and EC data are acquired on a 15 mm spacing for the log. A simple string pot tracks the depth of the probe and the rate of penetration. Uphole electronics process the analog signal and provide digital output to a notebook computer. The Acquisition software provides a live-time view of the EC log and speed/depth log as the probe is advanced.
The EC log indicates lithology and permeability in fresh water formations. The EC of unconsolidated materials is primarily a function of clay content; high clay content yields higher EC readings, while sand and gravel formations yield lower EC readings. Some clays have low electrical conductance while electrically conductive fluids (for example, salt water or sodium persulfate) can impart a high conductance to low-EC materials. (Christy 1994; USEPA 2000; Beck 2000; McCall 2000; Schulmeister 2003; Schulmeister 2004; Wilson 2005; Sellwood 2005; McCall 2006b; Harrington 2006; Binder 2008), |
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| Cone Penetrometer Testing (CPT & CPTu) | Hydraulic rams, supported by the reaction weight of a 10- to 40-ton truck, are used to push a narrow-diameter (1.44 inch or 1.77 inch) rod with a conical point into the ground at a maximum steady rate of 2 cm/sec. An instrumented cone probe measures penetration tip resistance, sleeve (side) friction, and pore pressure. The tip resistance and friction values, which are measured using load cells, are then related to soil behavior type. Sandy soils have high tip resistance and low sleeve friction; clayey soils have low tip resistance and high sleeve friction.
Pore pressure is measured using a pressure transducer connected to a ceramic screen mounted just above the cone tip. Pressure exerted on water by cone advancement dissipates more quickly in permeable media (such as sand) than in finer grained units. Hydraulic conductivity of tight media can be estimated in situ using the CPT pore pressure dissipation test. Penetration depth is measured using a linear displacement transducer. The soil behavior data are transmitted uphole by cabling, typically recorded each second and compiled to generate logs, which are interpreted to delineate stratigraphy and estimate hydraulic conductivity. (ASTM 2010c; Campanella 1988; Robertson. P.K. 1986; Berzins 1992; Lutenegger 1995; Lunne 1997; USEPA 1997; McCall 2005) |
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| Laser Induced Florescence (LIF) | Laser-induced fluorescence (LIF) tools use a laser excitation light that pulses down fiber-optic cable within drill rods to a sapphire window, which is typically employed with a CPT tool on a DP (or similar) rig. The excitation light induces fluorescence of two-ring and higher PAH compounds and other fluorophores (such as naphthalene) located across the sapphire window. This fluorescent light is transmitted uphole through a second cable to a surface detection system. Fluorescence intensity and spectral waveforms are recorded continuously in real time and interpreted to infer NAPL presence and distribution. LIF systems that have been deployed on DP units include: SCAPS, ROST, UVOST, and TarGOST. UVOST and TarGOST probe are percussion tolerant and able to be advanced using DPT rigs (such as Geoprobe). Alternative types of downhole fluorescence probe include the fuel fluorescence detector, which uses a downhole mercury lamp for its ultraviolet (UV) light source, and the UV-induced florescence tool, which uses a UV lamp instead of a laser. Addition of fluorescing compounds to enhance DNAPL detection in situ is discussed under Dye-LIF. (ASTM 2010b; Kram 2001b; USDOE 2002; Kram ML & AA Keller 2003b) (Kram ML & AA Keller 2003a) | Data Quality
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| Membrane Interface Probe (MIP) | The membrane interface probe (MIP) is a VOC screening tool that provides real-time data at the foot scale as it is advanced using DP methods. The MIP probe includes an EC array, and more recently has been combined with the HPT in the membrane interface probe hydraulic profiling tool (MiHpt) probe that provides both detector data for VOCs and HPT pressure data for permeability/lithology.
The MIP tool uses heat to enhance the diffusion of VOCs through a membrane. The MIP membrane is made of semipermeable polymer impregnated into a stainless-steel screen that is seated in a steel plate for heating to 100°C–120°C. The MIP membrane allows for the diffusion of VOCs, but resists the migration of water vapor or liquid phases. A clean, inert carrier gas (typically nitrogen) sweeps across the membrane and entrained VOCs are carried to the surface by the trunkline. The sample gas is directed to gas phase detectors at the surface. Detectors commonly used include a PID for aromatic hydrocarbons, a halogen specific detector (XSD) for halogenated compounds, and a flame ionization detector (FID) for aliphatic hydrocarbons. Detection limits vary, but are approximately as follows: 200 ppb for chlorinated compounds using an XSD; 500 ppb for individual benzene, toluene, ethylbenzene, and xylene (BTEX) compounds using a PID; and 1 ppm for BTEX and aliphatic hydrocarbons using a FID. The new low-level MIP system provides detection limits for many VOCs below 50 ppb. Results are reported as detector response in microvolts and reflect relative total VOC concentrations. The MIP also records and graphs sample depth, soil EC, and probe temperature.(Bumberger 2011; Considine 2008; ESTCP 2002, 2011; USEPA 2004) (Geoprobe 2009; Costanza 2000b) (Kurup 2009; McAndrews 2003; Ravella 2007; Kober 2009; Christy 1996) |
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| Hydrosparge (CPT) | Hydrosparge integrates a customized CPT probe with a small sampling port, a sparging device, and an above-ground detector situated in a truck. The probe is advanced into the groundwater to a target depth and a liquid sample enters the sample port. A direct sparging device bubbles helium carrier gas through the sample to purge VOCs. The stripped VOCs are carried to the surface for analysis using an ion trap mass spectrometer (ITMS) or GC spectrometer. The ITMS Hydrosparge system has demonstrated good correlation with USEPA Method 8260 for dissolved halogenated contaminant concentrations ranging from one to several thousand µg/L. Confirmation samples is required when using a Hydrosparge probe for DNAPL source zone evaluation. A DNAPL source zone characterization approach incorporating the Hydrosparge probe techniques, when coupled with lithological sensors, allows investigators to rapidly reach the design level stage. (Davis 1998; Davis 1997; Kram 2001a) | Data Quality
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| CPT In-Situ Video Camera (GeoVIS and ARA/Vertek) | The GeoVIS probe, developed by the Navy, is a real-time, in situ, microscopic soil video imaging system consisting of a miniature charge-coupled device video camera with magnification and focusing lens system integrated into a CPT platform. Soil in contact with the probe is illuminated with an array of white-light-emitting diodes and imaged through a sapphire window mounted on a probe. The video image from the camera is returned to the surface, displayed in real-time on a video monitor, and captured digitally with a frame grabber installed on the computer.
The digital image can be incorporated into the SCAPS operation and data processing software to allow for depth-specific video clip recall. The standard GeoVIS optics system provides a viewing field of approximately 2 mm x 3 mm and a magnification factor of 100 when viewed on a standard 13 inch monitor. The system can be advanced at a rate of approximately 4 inches/min. GeoVIS has been combined with a standard LIF probe to produce images of DNAPL globules known to yield fluorescence. For GeoVIS to be most effective, a recognizable color or textural contrast must exist between the DNAPL and the soil matrix. Another version of a CPT-deployed downhole video camera is sold by ARA/Vertek. (Lieberman 2000; Udell 2000) |
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| Raman Spectroscopy | Raman spectroscopy (Raman) is similar to LIF spectroscopy, except raman uses a longer (785 nm) wavelength infrared laser and a different analytical method to identify the compounds of interest. Raman measures the light inelastically scattered from the incident light remediation. The energy shifts in the scattered light are correlated to the vibrational modes of the particular compound and constitute the Raman spectrum for the compound. As the material outside the sapphire window of the probe is exposed to laser light, the molecules in the compound present scatter light and create a vibrational fingerprint. The fingerprint is transmitted by fiberoptic cable to the analyzer, where it is compared to a database of vibrational signals. The Raman system has been used to detect metals, organic compounds, oxidizers, and radionuclides in a complex mixture of waste, DNAPLs such as tetrachloroethylene and trichloroethylene, and a variety of other compounds (USDOE 1999; Rossabi and Bello. 2000; McCall 2006a) (Mosier-Boss 1997) | Data Quality
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| Co-Solvent Injection/Extraction or Precision Injection/Extraction PIX Probe | The PIX method functions by solubilizing, mobilizing, and recovering NAPL in contact with a single-well or specialized probe. The probe is advanced to a target depth, or the monitoring well is screened at a target depth and a known amount of water with a conservative tracer of fixed concentration is injected a few inches into the formation and is recovered by overextraction. Then, a known amount of alcohol is injected and overextracted. Differences in component concentrations, alcohol concentrations, and tracer concentrations are compared to determine the potential presence of DNAPL using a mass-balance approach. Lithologic sensors can be used to help identify candidate DNAPL zones based on potential migration pathways (Looney 1998; MSE Technology Applications 2000). | Data Quality
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| TarGOST | Visible wavelength LIF Tar-specific Green Optical Screening Tool (TarGOST) is another LIF tool invented by Dakota Technologies for use on coal tar creosote, as well as bunker fuel or other multicomponent, PAH-containing DNAPLs (“heavies”). TarGOST uses visible wavelength fluorescence spectroscopy to yield monotonic response in the presence of heavies in soil.
TarGOST is a time-resolved, front-face fluorometer that is fiber-optically connected to a sapphire window probe. The probe is advanced into the ground by a DP rig, and fluorescence measurements are made directly on the soil surface as the sapphire window passes by. TarGOST can be combined with EC when using percussion DP or, when deployed on a CPT rig, geotechnical sensors that measure the mechanical properties of the soils. As the probe advances, very fast pulses of laser light are delivered by fiber-optic cable and reflected though the sapphire window by a mirror. The light is absorbed by the heavies and PAHs are driven to an electronically excited state. When the excited-state PAHs return to ground state, they emit visible and infrared fluorescence that is collected by the mirror and transmitted back up to the surface via the collection fiber-optic. Data is generated on approximately 1inch increments from the DP borings. The average daily production rate achieved (based on over 166 sites since 2004) is 330 ft/day. TarGOST logging data can be used to develop high-resolution CSMs depicting the location of sites contaminated with heavy PAH DNAPLs. TarGOST can be calibrated using DNAPL samples collected from the site (Ferland 2004). |
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| Dye-LIF™ (Emerging) | The Dye-LIF optical screening tool responds to chlorinated solvent DNAPL, even when DNAPL does not contain sufficient PAHs or other fluorophores to allow for direct detection. This new tool works by injecting fluorescent hydrophobic dye through a small injection port located several inches below the detection window of a standard LIF probe (the current Dye-LIF system is built onto a standard TarGOST backbone). As the probe is advanced through the subsurface, the injected dye partitions almost instantly into the DNAPL (if present), ensuring that the DNAPL is now fluorescent and detectable by LIF (in much the same way the oil red makes DNAPL observable in sample jar dye shake tests). Field verification of the new tool is funded by SERDP/ESTCP Project 201121, Direct Push optical Screening Tool for High-Resolution, Real-Time Mapping of Chlorinated Solvent DNAPL Architecture (Einarson 2012; SESTCP 2016). | Data Quality
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| Discrete Groundwater Sampling and Profiling | |||
| Grab Samplers (SNAP and HydraSleeve) | The HydraSleeve grab sampler consists of a reusable weight attached to the bottom of a long, lay-flat disposable polyethylene sleeve with a self-sealing valve. Under water, the HydraSleeve can remain flat and sealed for indefinite time periods. It is opened for sample collection by pulling a suspension cord upward. The valve closes when the sampler is full. Samples are transferred to containers (for example, 40 ml vials) at the surface. HydraSleeve samplers have been made to retrieve from 80 ml to >4,000 ml and for use in wells as small as 1inch diameter.
The Snap Sampler employs a cable to trigger release of a spring-and-close Teflon end caps on double-opening VOA vials or polyethylene bottles in situ without headspace vapor. Once retrieved from the well, standard screw caps and preservatives can be added to the sample container. Up to six samplers can be attached in series to one trigger cable. Snap Samplers fit in 2 inch or larger monitoring wells (ITRC 2007). |
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| Accumulative Samplers | Accumulative samples are passive sampling devices that rely on diffusion and sorption to accumulate analytes into the sampler. Samples are a time-integrated representation of conditions at the sampling point over the deployment period. The accumulated mass and duration of deployment are used to calculate analyte concentrations in the sampled medium. Examples include:
These samplers involve the diffusion of chemicals, primarily VOCs and SVOCs, across a membrane from the environment into a medium that is then extracted and analyzed for chemical of concern. SPDMs, POCIS, and PISCES are primarily designed for deployment in surface water and are used to measure bioaccumulation and toxicity, a variety of wastewater, and to identify sources of contamination. These tools are not directly relevant to DNPL site characterization. (ITRC 2007) |
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| Membrane Diffusion Samplers
Polyethylene Diffusion Bag and Rigid Porous Polyethylene Samplers |
Membrane diffusion samplers rely on groundwater flow through a screened or open well interval and equilibrium diffusion of dissolved chemicals through polyethylene film.
Polyethylene diffusion bag (PDB) samplers are a simple and inexpensive way to sample groundwater monitoring wells for a variety of VOCs. A typical PDB sampler consists of low-density polyethylene lay-flat tubing filled with distilled, deionized water and heat-sealed at both ends. The bags are suspended by a weighted line at the target horizon in monitoring wells and allowed to equilibrate with the surrounding water. Retrieved after the equilibration period (typically two weeks), the enclosed water is immediately transferred to appropriate sample containers for analysis. PDB samplers are typically 18 inches–24 inches long and 1.25 inches–1.75 inches in diameter and provide 200 ml–300 ml of sample. One or more samplers are set at desired depths in screened or open well intervals and are left in place for at least two weeks. PDB samples, which are typically representative of adjacent well water quality during the last few days of deployment, are transferred to 40ml VOA vials for subsequent analysis. Designed for sampling/analysis of a broader range of analytes than PDB samplers, rigid porous polyethylene (RPP) samplers are made of thin sheets of foam-like porous polyethylene with pore sizes of 6–20 microns. The pores allow a water-water interface facilitating equilibrium of water-soluble groundwater analytes with deionized water in the RPP sampler. RPP samplers can be used to sample all water-soluble analytes, including perchlorate, 1,4-dioxane, inorganic anions and cations, most metals, MEE parameters, methyl tertiary butyl ether (MTBE), hexavalent chromium, explosives, dissolved gases, and many SVOCs. (ITRC 2007) |
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| FACT FLUTe | The FLUTe Activated Carbon Technique (FACT) is a method for mapping the distribution of contamination in the pore space and fractures of a borehole wall. The technique incorporates a 0.125 inch x 1.5 inch strip of activated carbon felt into the typical hydrophobic cover of the NAPL FLUTe system normally used for mapping the subsurface presence of a wide variety of NAPLs. The NAPL FLUTe cover is typically installed into a borehole on the outside of an everting FLUTe blank liner. The installation of a NAPL FLUTe cover with the added activated carbon strip allows the drawing of (by diffusion) the dissolved contaminants from the formation into the activated carbon. Recovery of the liner by inversion prevents the carbon from contact with any other portion of the borehole wall. At the surface, the carbon is then sectioned for chemical analysis. The combination of the NAPL cover and the FACT can be used to map both the NAPL and the dissolved phase of many other contaminants. | Data Quality
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| Straddle Packer Sampling | Straddle packer sampling involves isolating a depth discrete section of the borehole with straddle packers and collecting a discrete groundwater sample. Field properties (pH, temperature, specific conductance, and dissolved oxygen) should be monitored and recorded during purging. After three purge volumes have been removed and field properties have stabilized, a ground-water sample is collected. Packers can also be used to collect discrete samples from an overburden well if the well is constructed properly to allow meaningful data to be obtained. In addition, discrete depths may be isolated within a large well screen (such as 20 ft) with packers. (Gefell 1999; Holloway 2008; Shapiro 2002; Taylor 1990; Swiger 2009) |
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| Passive Flux Meter (PFM) (Emerging) | The EnviroFlux Passive Flux Meter (PFM) simultaneously measures contaminant and groundwater fluxes. This device uses a sorptive permeable medium (a nylon mesh tube filled with sorbent/tracer mixture) that is placed in a borehole or monitoring well to passively intercept contaminated groundwater and release resident tracers. After a specified residence time (typically one to four weeks) in the flow field, the sorbent/tracer tube is retrieved for extraction and analysis. Detected contaminant masses are used to calculate time-averaged contaminant fluxes, and the residual tracer mass data are used to determine cumulative groundwater flux.
By selecting appropriate sorbents, PFMs can be used for a wide variety of contaminants. For common organic contaminants, such as chlorinated solvents, activated carbon and a suite of different alcohols are used as the sorbent and tracers, respectively. Depth variations of groundwater and contaminant fluxes are measured by vertically segmenting sorbent/tracer mixture in a well or borehole. Fluxes across a transect perpendicular to flow are measured by placing PFMs in multiple wells (Hatfield 2004) (ITRC 2010). |
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| ZONFLO Hydraulic Sampling System | ZONFLO (zonal flow) is based on hydraulic control of borehole flow conditions to isolate flow from discrete fracture zones. Hydraulic containment with use of multiple pumps is achieved by balancing flow in the borehole and confirming directions of borehole flow. In rough-faced boreholes where physical containment such as packers may fail, hydraulic containment offers an alternative solution to obtain discrete samples (Harte 2013b). | Data Quality
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| Drilling Water Dye | See Tracer Testing. | ||
| Groundwater Field Measurements | Measurement of temperature, resistivity, turbidity, pH, oxidation/reduction potential, salinity, and dissolved oxygen using (predominantly) field calibrated equipment. | Data Quality
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| Low Flow Sampling | Pumping of groundwater at a sufficiently low rate (velocity at which water enters the pump intake) to draw water in from the immediate vicinity of the well screen and not cause water-level drawdown. Typical rates are 0.1-0.5 L/min (USEPA 1996). | Data Quality
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| Multilevel Sampling | |||
| Multilevel Sampling | Multilevel sampling uses a single multilevel sampler (MLS) device assembled on surface and installed in an open borehole or a casing with multiple screens, each isolated at a different depth to divide the hole into many depth-discrete segments for data acquisition. This method can be used in overburden or bedrock.
An MLS is used to obtain vertical profiles of hydraulic head, dissolved contaminants, or natural geochemistry in the saturated zone. The device can also be used in the unsaturated zone for soil gas profiling. An MLS can be equipped for single use (fluid sampling or head measurements) or dual use (both fluid sampling and head measurements).(Einarson 2006) Monitoring wells are not definitive tools for detecting the presence of DNAPL; however, because concentrations measured with MLS relative to conventional monitoring wells are the least diluted and therefore most representative of actual concentrations in the formation, MLS-derived water chemistry is best for inferring the presence of DNAPL based on water concentrations relative to DNAPL solubility in water. Westbay Systemsa (Schlumberger) was first used in groundwater applications in 1978. This system is a modular, using PVC or stainless steel casing with valves at the sampling point. Ports are most commonly isolated using packers that can be installed in 3 inch–6.3 inch diameter boreholes. For holes ≥5inches, it can be installed with backfilling option.e To date, the maximum installation depth achieved with the PVC version is 4,035 ft, and with the stainless steel version the maximum depth is 7,128 ft. Deeper installations are feasible with the stainless steel version. Hydraulic tests can be conducted with all MLS; however, permeability can only be measured to a certain point, depending on the tubing size or other flow restrictions. |
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| Waterloo Systemsa (Solinst)
First used in groundwater applications in 1984, it is a permanent, modular system using PVC casing. Ports are isolated in 3 inch–4.5 inch diameter boreholes using packers and in boreholes ≥5 inches by backfilling option. (The backfilling option is not attractive for karstic rock with large zones that require too much sand or bentonite.) To date, the maximum installation depth achieved is 1,000 ft. Westbay and Waterloo systems have three options: 1) using packers to isolate multiple screens in a cased well; 2) using packers to isolate borehole sections in an open hole in bedrock; and 3) using sand backfill in monitored sections with bentonite seals between sections in an open hole. When using packers, the Westbay system is removable, but may be difficult if the hole collapses on the system. |
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| FACT Systemsb (FLUTe)
FLUTe systems have two options: (1) install in hole that has multi-screened casing; and (2) install in open borehole. Chemical reactivity refers to the system components being prone to sorption and/or diffusion of organic contaminants. Purging is more important for systems with greater reactivity to avoid adsorption/diffusion effects. First used in groundwater applications in 1994, this system uses a continuous flexible urethane-coated nylon fabric tube (liner) to seal the borehole with spacers between the liner and the borehole wall to create monitoring zones. The entire system is pressed against the borehole wall with water or grout, and can be used in 3 inch–20 inch diameter boreholes. To date, the maximum installation depth achieved is 850 ft; however, deeper installations are feasible. |
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| CMT Systems (Solinst)
First used in groundwater applications in 1999, this system uses polyethylene tubing with three or seven chambers, and each chamber is converted into a depth-discrete monitoring tube in 4 inch–8 inch diameter boreholes using the backfilling option.e Bentonite packers can be used for three-channel systems in boreholes of 2.5 inches–3.5 inches. To date, the maximum installation depth achieved is 300 ft. Waterloo and CMT can be removed by overdrilling, or the CMT system can be decommissioned by grouting in place. |
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| NAPL Presence | |||
| NAPL FLUTe | NAPL FLUTe is a hydrophobic cover installed over the standard impermeable blank FLUTe liner that, following eversion into the borehole, is in contact with the borehole wall. When NAPL in pore spaces or fractures intersecting the borehole wall come in contact with the NAPL FLUTe cover, it penetrates the cover and reacts to produce a visually distinct stain that can be correlated to depth in the borehole upon inversion and removal of the liner.
The FLUTe activated carbon technique (FACT) can be used in conjunction with the NAPL FLUTe to evaluate the vertical distribution of dissolved phase VOCs. The primary purpose of the NAPL/FACT is to aid in selection of well screen in the pore spaces or fractures in the borehole wall intervals. The NAPL/FACT incorporates a 0.125 x 1.5-inch strip of activated carbon felt (FACT strip) into the typical hydrophobic cover of the NAPL FLUTe system attached to a carrier liner which when everted presses the NAPL FLUTe cover and the FACT strip against the borehole wall under hydrostatic pressure. The FACT strip absorbs dissolved phase VOCs from the borehole wall. Upon recovery from the borehole, the NAPL FLUTe cover is visually inspected in the field, while the FACT strip is sectioned and analyzed by standard laboratory analysis methods, with results are presented in mass per mass (grams VOC per grams carbon), thus provides qualitative screening results of VOC concentration vs depth. The NAPL cover can be used as a standalone option, while the FACT is always installed together with the NAPL cover. The NAPL cover consists of a hydrophobic fabric that reacts with free phase NAPL to create a visible stain on the fabric. The Felt Activated Carbon Test (FACT) consists of a carbon impregnated felt strip which absorbs dissolved phase NAPL. The NAPL cover is visually inspected in the field, while the FACT is sectioned and analyzed by standard laboratory analysis methods. FACT results are presented in mass per mass (grams VOC per grams carbon), thus provides qualitative screening results.(Keller 2012) |
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| Dye Techniques (e.g., Sudan IV dye, Red Oil DNAPL-Lens-Detect) | Direct visual detection of NAPL in soil or water may be difficult where the NAPL is clear and colorless, present at low saturation, or distributed heterogeneously. Hydrophobic dye can assist visual detection of NAPL. The test involves placing a very small amount of a hydrophobic dye (for example, 2 mg), such as Sudan IV, soil (about 20 cc), and a small volume of clean water (about 15ml) in a sealed plastic or glass jar (a 40ml vial), which is then capped and shaken by hand. Sudan IV is a reddish-brown powder that dyes organic fluids red upon contact, but is practically insoluble in water at ambient temperatures. If NAPL is present in a sample (and contacts the dye), it will appear as red globules, a red meniscus, or a red film. Background and NAPL-contaminated samples should be examined to check for interference and site-specific response. A similar test can be made on water samples by adding dye. Test kits with enhancements are available commercially. (Parker 2003; Cohen 1993; Pankow 1996) | Data Quality
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| Ultraviolet (UV) Fluorescence | Fluorescence refers to the spontaneous emission of visible light resulting from a concomitant movement of electrons from higher to lower energy states when excited by UV radiation. Samples and core can be inspected in a dark space under UV light (such as using a small portable UV light box) for fluorescence, which may indicate the presence of NAPL containing PAHs or other commingled fluorophores. Fluorescent response depends on UV excitation wavelength. Known background soil and NAPL-contaminated samples should be checked for interference and site-specific NAPL response. (Kram 2001a) | Data Quality
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| NAPL Interface Probe | A NAPL interface probe is a down-well electronic measurement tool, similar in format to a standard electronic water level meter. The interface probe is capable of measuring both LNAPL and DNAPL thickness to an accuracy of 1mm. Interface meters generally detect the oil/water interface by distinguishing the different angles of refraction of water and NAPL using an infrared beam. They also measure conductivity of the liquids and signal differently for conductive liquids (water) and nonconductive liquids (NAPLs).
To measure the thickness of a NAPL product layer, the probe is lowered into the well until the signals activate. If there is an oil/product layer on top of the water (LNAPL), a specific signal is made by the instrument, indicating an air/product interface. The depth is read off the permanently marked tape. The probe is then lowered further and the signal changes at the product/water interface. The thickness of the LNAPL product layer in the well is then determined by subtracting the first reading from the second. The presence or absence of DNAPL is determined by continuing to lower the probe to the bottom of the well. If the signal changes, this indicates a nonconductive liquid. The depths should be measured the probe continued to be lowered until it touches bottom and the tape goes slack. To determine the thickness of the DNAPL layer in the well, the first reading from the bottom depth is subtracted. |
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| Chemical Screening | |||
| Membrane Interface Probe (MIP) | The MIP is a screening tool that provides real-time, near-continuous data on VOCs and some semi-VOCs. The MIP tool uses heat to enhance the diffusion of VOCs through a membrane. The MIP membrane is made of semipermeable thin film polymer impregnated into a stainless-steel screen that is seated in a steel plate for heating to 100°C–120°C. The MIP membrane allows for the diffusion of VOCs, but resists the migration of vapor or liquid phases. A clean, inert carrier gas (typically nitrogen) sweeps through tubing attached behind the membrane and carries VOCs that have diffused through the membrane to gas phase detectors at the surface. Gas phase detectors commonly used include a PID for aromatic hydrocarbons, an electron capture detector (EC or ECD) for halogenated compounds, and a FID for aliphatic hydrocarbons. Results are reported as detector response in microvolts and reflect relative total VOC concentrations. The MIP also records and graphs sample depth, soil conductivity, and temperature. | Data Quality
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| Background Fluorescence Analysis | Background fluorescence analysis (BFA) can be successfully applied to identify and understand preferential groundwater flow pathways as well as to delineate extent of contaminated areas.
It relies on the principle that most mixtures of organic compounds emit at characteristic patterns of fluorescence when exposed to specific frequencies of EM radiations and BFA can fingerprint such fluorescence patterns. The fluorescence of a water sample has therefore a unique fluorescence fingerprint, which is based on the dissolved organic content of that water sample (resulting from naturally occurring and industrial organic substances). When fluorescence fingerprints show similar patterns (similar slope and peaks in the scan), one averted BFA analyzer can conclude that the freight is also similar and a hydraulic connection is probable. In a homogenous isotropic aquifer, all fingerprints would be the same. Increasing fluorescence intensities also correspond with increasing concentrations of a contaminant plume. A very useful supplement to the basic BFA is the introduction of artificial fluorescence drug- and cosmetic-grade dyes in a fluorescent dye-tracing test. Seven different fluorescent dyes may be implemented to quantitatively evaluate preferential groundwater flow paths. (Otz 2005a, b) |
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| Colorimetric Screening | Color-Tec is a field-based analytical method that combines sample purging with colorimetric gas detector tubes to detect total chlorinated volatile organic halocarbon compounds in any ex situ liquid or solid sample at concentrations from about 3µg/L or µg/kg. Samples are analyzed in 2 minutes or less by purging the volatile compounds from the sample directly through the colorimetric tube, which is designed to produce a distinct color change when exposed to chlorinated compounds. Estimated sample concentrations are obtained by comparing the tube readings to a conversion table, which was developed based on comparison of the method values to GC/MS analysis of split samples. (Tec 2017) | Data Quality
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| Direct Sampling Ion Trap Mass Spectrometer | The direct sampling ion trap mass spectrometer (DSITMS) is a field portable instrument used for real-time, onsite analysis of VOCs. The DSITMS is the basis of USEPA SW-846 Method 8265. The method involves direct analysis of VOCs from field samples without chromatographic separation. The DSITMS has sample introduction capabilities for analysis of water, soil extracts (USEPA Method 5035), and vapor samples. The analysis times are 3 min/sample for water and soil samples and 6min/sample for vapor samples. The short analysis time allows a single instrument and operator to analyze up to 80 samples/day for water and soil and 60 samples/day for vapor, plus full QC analyses. (Wise 1997b; Wise 1997a; Davis 1998; Costanza 2000a; Davis 2006) | Data Quality
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| Environmental Molecular Diagnostics | |||
| Microbial Diagnostics | |||
| Fluorescence In-Situ Hybridization (FISH) | Fluorescence in-situ hybridization (FISH) is a molecular biology method used to visualize and enumerate specific types of microorganisms or groups of microorganisms in an environmental sample. The method does not require isolation or cultivation of microorganisms and allows for examination of microorganisms in complex environmental samples with minimal disruption of the natural microbial community. Since its introduction in the late 1980s, FISH has been used in medical and developmental biology and environmental bacteriology. Today, FISH is a powerful tool for phylogenetic, ecological, diagnostic, and environmental microbiology studies.
FISH is a technique used to detect and locate a particular genetic sequence (DNA or RNA) on a chromosome by using a complimentary fluorescently-labeled genetic probe. This probe is designed to only bind to areas of the chromosome that have significant sequence similarity. |
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| Compound-Specific Isotope Analysis (CSIA) | Compound-specific isotope analysis (CSIA) is used to directly examine individual contaminants to learn both about their original isotopic composition and about any degradation the compound has undergone. CSIA establishes mass loss (biotic or abiotic degradation) as the mechanism for decreasing concentrations of contaminants. A key feature of CSIA is that degradation processes produce distinct isotopic enrichments that are not caused by mass transfer processes such as dilution or adsorption.
CSI can be used to demonstrate degradation by measurement of an isotopic shift in the ratio of stable isotopes of elements such as carbon and hydrogen when multiple degradation processes are occurring. Fractionation results from degradation of lighter isotopes as compared to heavier isotopes due to thermodynamics and low bond energy within the former; therefore, an enrichment of the heavier isotopes occurs following degradation of the lighter isotopes of the parent compound (less negative δ13C values). (ITRC 2011; USEPA 2008; Kuder 2005)(Schmidt 2004; Kuder 2005) |
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| Enzyme Activity Probes (EAPs) | Enzyme activity probes (EAPs) are chemicals used to detect and quantify specific activities of microorganisms in environmental samples (such as soil, water, or sediment). EAPs are transformed by the target enzyme into a readily detectable product that can be measured and predicted. Most microbial enzymes are not functional outside of a cell; therefore, EAP response provides direct evidence that specific enzymes of interest within key microorganisms in the sample are active. There is also a strong positive correlation between the rate of transformation of an EAP and the number of microorganisms actively producing the enzyme, so the microorganisms’ abundance in the environment can be estimated. Some EAPs are designed to have a fluorescent product so that the cells with active enzymes will fluoresce when viewed on a fluorescence microscope. Other EAPs result in a readily detectable product that can be quantified by other means. (ITRC 2011) | Data Quality
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| DNA Microarrays | Environmental samples can contain thousands of different microorganisms and many different functional genes, some of which can serve as process-specific biomarkers. Phylogenetic microarrays evaluate community composition based on the presence/absence of microbial 16S rRNA genes present in a sample.
A microarray is a solid surface upon which microscopic spots of DNA probes are attached. These probes are designed to represent genes that, when expressed, indicate a microbial activity. A gene is expressed when it produces messenger RNA (mRNA)—the genetic sequence of the messenger RNA produced is copied as cDNA (complementary DNA) using fluorescently labeled nucleotides. This cDNA is then exposed to the microarray and sequences that are complementary hybridize to the gene probes and fluoresce. A single microarray can be used to compare expressed genes in different microorganisms by using different colors of fluorescent nucleotides. (ITRC 2011; Øvreås 2002; Sei 2009) |
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| Microbial Fingerprinting | Fingerprinting methods are used to provide an overall view of the microbial community, indications of microbial diversity, and insight into the types of metabolic processes occurring in the aquifer (notably the terminal electron-accepting processes such as sulfate reduction). Microbial fingerprinting methods differentiate microorganisms or groups of microorganisms based on unique characteristics of a universal component or section of a biomolecule (such as phospholipids, DNA, or RNA). Microbial fingerprinting methods provide an overall profile of the microbial community, indications of microbial diversity, and insights into the types of metabolic processes occurring. In some cases, they can be used to identify subsets of the microorganisms present.
Methods include: denaturing gradient gel electrophoresis (DGGE), terminal restriction length polymorphism (T-RFLP), and phospholipid fatty acid analysis (PLFA). PLFA analysis provides total microbial biomass and a general characterization of the microbial community. The relative abundance of several different microbial functional groups (such as sulfate-reducing bacteria) is measured based on the concentrations of membrane lipids. DGGE and T-RFLP are both genetic fingerprinting methods. DGGE provides a genetic fingerprint of the microbial community based on melting rates during electrophoresis. T-RFLP is similar to DGGE except that the separation is based on the sizes of the DNA/RNA fragments produced by digesting the DNA/RNA with restriction enzymes. (ITRC 2011; Hedrick 2000)(Osborn 2001; Bent. S. J. 2007) |
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| Polymerase Chain Reaction (PCR) | Polymerase chain reaction (PCR) is a technique that can test for the presence of the specific microorganism, family of microorganisms, or expressed genes in environmental samples such as soil, water, or sediment. PCR is a category of laboratory methods that can be used to detect the presence of either (1) a specific microorganism or group of microorganisms that are known to be able to biodegrade a specific contaminant or group of contaminants or (2) DNA sequences (genes) that regulate the production of enzymes (proteins) that biodegrade or partially biodegrade these contaminants.
PCR capitalizes on the ability of DNA polymerase (the enzyme that copies a cell’s DNA before it divides in two) to synthesize new strands of DNA complementary to a template DNA strand. A DNA primer linked to a particular bacterium or microbial activity is amplified (30–40 times or more) to generate enough copies of the DNA so that it can be visualized to confirm the presence of that DNA and therefore that bacteria or metabolic capability in that environment.(ITRC 2011)(Pavlov AR 2006; Saiki 1988; USEPA 2004) |
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| Quantitative Polymerase Chain Reaction (qPCR) | Quantitative polymerase chain reaction (qPCR) and reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) are used to quantify the abundance and activity of specific microorganisms or expressed genes in pathways capable of biodegrading contaminants at a contaminated site. Quantitative PCR is a method for estimating the concentration of a particular genetic sequence in an environmental sample. The concentration of that genetic material is then related to the concentration of a particular microorganism or class of microorganisms. (ITRC 2011; Butler 2007; Davis 2008; Henrickson 2002; Lee 2008; Baldwin 2010; DeBruyn 2007; Hristova 2003; Amos 2007). | Data Quality
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| Stable Isotope Probing (SIP) | Stable isotope probing (SIP) techniques are used to determine whether biodegradation of a specific contaminant does or could occur. SIP can identify the microorganisms responsible for this activity. SIP involves exposing the microbial community to an isotopically labeled substrate (such as a contaminant) and using the detection of that heavy isotope in a biomarker molecule to indicate microbial metabolism (biodegradation). This process is typically implemented by baiting a microcosm with an isotopically labeled contaminant of concern. These microcosms can be lowered into a well to be populated by the indigenous groundwater bacteria, or the groundwater and sediment from the aquifer can be put into an enclosed microcosm. The nucleic acids or phospholipids of the microbial population colonizing the microcosm are subsequently analyzed for the isotopic label. Degradation is confirmed by the production of 13CO2 and the organisms responsible are identified by examining the incorporation of 13C into the DNA (or RNA) or PLFA of the degrading organisms (ITRC 2011; Kuder 2005; Kreuzer-Martin 2007) | Data Quality
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| Stable Isotopic and Environmental Tracers | |||
| Stable Isotopes | Environmental isotopes are useful for studies and investigations in hydrogeology of porous materials and fracture rock, complementing physical and chemical hydrogeology.
The most used are the water molecule stable isotopes deuterium (2H) and oxygen-18 (18O), to determine groundwater quality, origin, recharge mechanism, and rock-water interaction. Deuterium, oxygen-18, and carbon-13 isotopes provide qualitative information on the origin of water that can be used to infer age in some cases. Other stable environmental isotopes provide indications of groundwater age and serve as natural tracers for groundwater provenance, Stable isotopes of carbon, boron, nitrogen, and sulfur (i.e., 13C/12C, 11B/10B, 15N/14N, and 34S/32S) can give valuable information about reactions involving these elements and also can serve as pollution tracers (Coplen 1999; Harte 2013a). |
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| Radioactive Tracers | Radioactive isotopes can be used to calculate the age of groundwater based on the rate of decay of a radioactive isotope and input concentration at the time of recharge into the groundwater system. Some common radioactive isotopes include hydrogen (tritium), helium, carbon-14, and chlorine-36.
Isotopes of the uranium series (234U, 238U, 226Ra, and 222Rn) are also useful tracers in isotope hydrogeology but are often not precise enough to establish the age of groundwater due to mineral-water interactions. Measurement of groundwater-surface water interactions and recharge processes is made possible with 222Rn (half-life = 4 days) (USEPA 1994; Cook 2000). |
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| Anthropogenic Chemical Tracers | Chemical tracers typically have distinct input concentrations at the time of recharge, from being in contact with the atmosphere, which can be used to estimate age. Some examples of chemical tracers include chlorofluorocarbons and sulfur hexafluoride (Cook 2000). | Data Quality
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| Accumulation Tracers | Isotopes of the uranium and thorium decay series such as radium and radon have been used to identify locations of DNAPL given the differential tendency of DNAPL and water relative to degradation product uptake (such as radon flux rate). This tool is similar to partitioning tracer tests with increased sensitivity to radionuclide detection. (Coplen 1999; Semprini 1998; Cook 2000). | Data Quality
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| On-site Analytical Techniques | |||
| Mobile Laboratory | A mobile laboratory consists of vehicle or trailer outfitted with laboratory instruments, equipment, supplies and personnel. It is designed by driven to a site and set up for a project. It may require hookup to electric service and other utilities or use an onboard generator, water supply. The mobile laboratory can use the same methods as fixed base laboratories including purge and trap GC/MS methods (such as USEPA Methods 5035/8260) or extraction based GC/MS methods (such as USEPA methods 3550/8270). Data can be reported onsite and, if the contractor is so equipped, uploaded to a laboratory information management system. | Data Quality
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| Portable Gas Chromatograph | A portable GC with appropriate columns and detectors can be used to analyze water, soil, or crushed rock samples in the field. A field portable GC is used to analyze a target list of compounds but cannot be used to identify unknown compounds. These systems may be transportable (designed to be shipped in a container) or portable (capable of being carried by one person). The GC is most commonly coupled with headspace or purge and trap sample preparation when used for sample analysis. | Data Quality
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| Portable Gas Chromatograph/Mass Spectrometer | A portable GC/MS system can be used to analyze water, soil, or crushed rock samples in the field. Field portable GC/MS can be used to analyze a target list of compounds and, because they include an MS, can also be used to identify unknown compounds. These systems may be transportable (designed to be shipped in a container) or portable (capable of being carried by one person). The GC/MS is most commonly coupled with headspace or purge and trap sample preparation when used for sample analysis. (USEPA 2017) | Data Quality
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References
Aerials, Historic. 2017. “Comprehensive Database of Historical and Aerial Photos of the United States “.
Agriculture, US Department of. 2017. “National Agriculture Imagery Program (NAIP).”
Al, T.A., Banks, V.J., Loomer, D.B., Parker, B.L., & Mayer, K.U. . 2006. “Metal mobility during in situ chemical oxidation of TCE by KMnO4.” Journal of Contaminant Hydrology 88:137 – 152.
Amos, B. K., Y. Sung, K. E. Fletcher, T. J. Gentry, W. M. Wu, C. S. Criddle, J. Zhou, and F. E. Löffler. . 2007. “Detection and Quantification of Geobacter lovleyi Strain SZ: Implications for Bioremediation at Tetrachloroethene- and Uranium-Impacted Sites.” Applied and Environmental Microbiology 73 (21):6898 – 6904.
Annable, M. D., P. S. C. Rao, K. Hatfield, W. D. Graham, A. L. Wood, and C. G. Enfield. 1998. “Partitioning tracers for measuring residual NAPL: Field-scale test results.” Journal of Environmental Engineering 124 (6):498 -503.
Annable, M.D., K. Hatfield, J. Cho, H. Klammler, B.L. Parker, J.A. Cherry,, and and P.S.C. Rao. 2005. “Field-scale evaluation of the passive flux meter for simultaneous measurement of groundwater and contaminant fluxes.” Environmental Science and Technology 39:7194 – 7201.
Annan, A. P. 2005a. GPR methods for hydrogeological studies. Vol. 50, Hydrogeophysics: Springer.
Annan, A.P. . 2005b. “Ground penetrating radar in near-surface geophysics, In: Near-Surface Geophysics, Investigations in Geophysics.” Society of Exploration Geophysics 13:357 – 438.
Antony, A.V. . 2005. “A new tool for Rock Mass Discontinuity Mapping From Digital Images: V Trace. .” Thesis Virginia Polytechnic Institute and State University, Blacksburg Virginia.
ASTM. 1986. “D4531 – 86 Standard Test Methods for Bulk Density of Peat and Peat Products.” ASTM Standards 04.08. doi: 10.1520/D4531-86R08.
ASTM. 1991. “Standard test methods for crosshole seismic testing, .” ASTM International D4428/D4428 M-91.
ASTM. 1999a. “Standard guide for using the direct current resistivity method for subsurface investigation,.” ASTM International 6431-99.
ASTM. 1999b. “Standard guide for using the gravity method for subsurface investigation.” ASTM International 6430-99.
ASTM. 2000. “Standard guide for using the seismic refraction method for subsurface investigation,.” ASTM International 5777-00.
ASTM. 2001. “E1195 – 01 Standard Test Method for Determining a Sorption Constant (Koc) for an Organic Chemical in Soil and Sediments.” ASTM Standards 04.08. doi: 10.1520/E1195-01R08.
ASTM. 2005. “Standard guide for using the seismic reflection method for subsurface investigation.” ASTM International 7128-05, .
ASTM. 2008a. “D4525-13e1 Standard Test Method for Permeability of Rocks by Flowing Air.” ASTM Standards 04.08. doi: 10.1520/D4525.
ASTM. 2008b. “D6032 – 08 Standard Test Method for Determining Rock Quality Designation (RQD) of Rock Core.” ASTM Standards 04.09. doi: 10.1520/D6032-08.
ASTM. 2008c. Standard Test Method for Determining Rock Quality Designation (RQD) of Rock Core.
ASTM. 2010a. “D5084 – 10 Standard Test Methods for Measurement of Hydraulic Conductivity of Saturated Porous Materials Using a Flexible Wall Permeameter.” ASTM Standards 04.08. doi: 10.1520/D5084-10.
ASTM. 2010b. “Standard Practice for Cone Penetrometer Technology Characterization of Petroleum Contaminated Sites with Nitrogen Laser-Induced Fluorescence ” ASTM D6187-97.
ASTM. 2010c. “Standard Practice for Using the Electronic Piezocone Penetrometer Tests for Environmental Site Characterization.” ASTM D6067-9610.
ASTM. 2013. “D2113 Standard Practice for Rock Core Drilling and Sampling of Rock for Site Investigation.” ASTM Standards Vol. 04.08, Soil and Rock (I).
ASTM. 2014. “Standard practice for rock core drilling and sampling of rock for site exploration.” ASTM D2113-14.
ASTM. 2016. “Standard practice for passive soil gas sampling in the vadose zone for source identification, spatial variability assessment, monitoring, and vapor intrusion evaluations.” ASTM International D7758-11.
Atkinson, L. C., J.E. Gale, C.R. Dudgeon. 1994. “New insight into the step-drawdown test in fractured-rock aquifers.” Applied Hydrogeology 1:9-18.
Baldwin, B. R., A. Biernacki, J. Blair, M. P. Purchase, J. M Baker, K. Sublette, G. Davis, and D. Ogles. 2010. “Monitoring Gene Expression to Evaluate Oxyge Infusion at a Gasoline Conktaminated Site.” Environmental Science and technology 44 (17):6829 -6834.
Barker, J. W., J.H. Black. 1983. “Slug Tests in Fissured Aquifers.” Water Resource Research 19 (6):1558-1564.
Barrash, W., T. Clemo. 2002. “Hierarchical Geostatistics and Multifacies Systems.” Water Resources Research 38 (10):1196. doi: 10.1029/2002WR001436.
Beck, Frank P., P. J. Clark and R. W. Puls. 2000. “Location and Characterization of Subsurface Anomalies Using a Soil Conductivity Probe. .” Ground Water Mon. & RemEDIATION Vol. 20 No. 2:55-59.
Bent. S. J., J. D. Pierson, and L. J. Forney, . 2007. “Measuring Species Richness Based on Microbial Community Fingerprints: The Emperor Has No Cloths.” Applied Environmental Microbiologuy 80 (13). doi: 10.1128/AEM.02383-06.
Bentall, R. 1963. Methods of Determining Permeability, Transmissivity and Drawdown. In US Geological Survey Water-Supply Paper, edited by Department of Interior.
Beres, M, A. Green, P. Huggenberger, and H. Horstmeyer 1995. “Mapping the architecture of glaciofluvial sediments with three-dimensional georadar. .” Geology 23 (1087).
Berg, S. J., W. A. Illman. 2011. “Three-dimensional Transient Hydraulic Tomography in a Highly Heterogeneous Glacioflucial Aquifer-aquitard System.” Water Resources Research 47. doi: 10/1029/2011WR01016.
Berzins, N. A. 1992. “Use of the Cone Penetrometer test and bat ground water monitoring systems to assess deficiencies in Monitoring well Data,.” Proceedings of the sixth Annual outdoor Conference, National Groundwater Association:327 – 339.
Beyers, S. C., E. L. Mills, P. L. Stewart. 1978. “A Comparison of Methods of Determining Organic Carbon in Marine Sediments, with Suggestions for a Standard Method.” Hydrobiologia 58 (1):43-47.
Binder, Jeffery L. 2008. “Use of Hydraulic Profiling Tool to Identify Preferential Pathways for Chloride-Impacted Groundwater Migration.” Proceedings of the Sixth International Conference on Remediation of Chlorinated and Recalcitrant Compounds. :Paper F-011.
Binley, A. and A. Kemna. 2005. “DC Resistivity and Induced Polarization Methods.” Hydrogeophysics:129-156. doi: 10.1007/1-4020-3102-5_5.
Black, W. H., H. R. Smith, F. D. Patton. 1986. “Multiple-level Ground Water Monitoring with the MP System.” Surface and Borehole Geophysical Methods and Ground Water Instrumentation Conference and Exposition, Denver, Colorado.
Bliss, J. C., K. R. Rushton. 1984. “The Reliability of Packer Tests for Estimating the Hydraulic Conductivity of Aquifers.” Quarterly Journal of Engineering Geology 17:81-91. doi: 10.1144/GSL.QJEG.1984.017.01.10.
Boulton, N. S., T. D. Streltsova. 1977. “Unsteady Flow to a Pumped Well in a Fissured Water-bearing Formation.” Journal of Hydrology 35:257-269. doi: http://dx.doi.org/10.1016/0022-1694(77)90005-1.
Bourdet, D., J. A. Ayoub, Y. M. Pichard. 1989. “Use of Pressure Derivative in Well-test Interpretation.” Society of Professional Engineers – Formation Evaluation 4:293-302.
Brainerd, R. J., and G. A. Robbins. 2004. “A Tracer Dilution Method for Fracture Characterization in Bedrock Wells.” Ground Water 42:774-780.
Brauchler, R., P. Dietrich, M. Sauter. 2011. “A Field Assessment of High-resolution Aquifer Characterization Based on Hydraulic Travel Time and Hydraulic Attenuation Tomography.” Water Resources Research 47. doi: 10.1029/2010WR009635.
Brooks, M. C., M. C. Annable, P. S. C. Rao, K. Harfield, J. W. Jawitz, W. R. Wise, A. L. Wood, and C. G. Enfield 2002. “Controlled release, blind tests of DNAPL characterization using partitioning tracers.” Journal of Contaminant Hydroloy 59:187 – 210.
Brown, N. 1994. “Integrating Structural Geology with Remote Sensing in Hydrogeological Resource Evaluation and Exploration.” Tenth Thematic Conference in Geologic Remote Sensing, San Antonio, TX:144 – 154.
Bumberger, Jan, D. Radny, A. Berndsen, T. Goblisrch, J. Flachowsky and P. Dietrich. 2011. “Carry-Over Effects of the Membrane Interface Probe.” Ground Water. doi: 10.1111/j.1745-6584.2011.00879.x.
Butler, J. J. 1997. The design, performance, and analysis of slug tests. BOCA RATON, FL: CRC PRESS.
Butler, J. J. 1998. The design, performance, and analysis of slug tests. BOCA RATON, FL: CRC PRESS.
Butler, Peirson S.N and J.N. 2007. “Quantitative Polymerase Chain Reaction.” NMethods of Molecular Biology.
Buursink, M. and J.W. Lane. 1991. “Characterizing fractures in a bedrock outcrop using ground-penetrating radar at Mirror Lake, Grafton County, New Hampshire.” USGS Water-resources Investigation Report 99-4018C, v. 3, .p. 769-776.
Cain, B. R., G. W. Johnson, J. E. McCrary, W. J. Blanford, M. J. Brusseau. 2000. “Partitioning Tracer Tests for Evaluating Remediation Performance.” Groundwater 38 (5):752-761.
Camel, N. V. 2000. “Microwave-assisted solvent extraction of environmental samples.” Trends in Analytical Chemistry 19 (4):229-248.
Campanella , R.G., and P.K. Robertson. 1988. “Current Status of the Piezocone Test.” Proceedings, 1st International Symposium on Penetration Testing, ISOPT I 1:1263 – 1280.
Cardiff, M., W. Barrash, P. Kitanidis. 2012. “A field proof-of-concept of aquifer imaging using 3D transient hydraulic tomography with modular, temporarily-emplaced equipment.” Water Resource Research 48. doi: 10.1029/2011WR011704.
Cardiff, M., W. Barrash, P. Kitanisis 2013. “Resolution of hydraulic conductivity imaging from 3-D transient hydraulic tomography at several pumping/observation densities.” Water Resource Research.
Chen J. S., S. Hubbard, Y. Rubin 2001. “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 37 (6):1603-1613.
Cherry, J. A, , P. E Johnson. 1982. “A multilevel device for monitoring in fractured rock.” Ground Water Monitoring & Remediation 2 (3):41-44.
Cherry, J. A, B. L. Parker, C Keller. 2007. “A new depth-discrete multilevel monitoring approach for fractured rock. .” Ground Water Monitoring & Remediation 27 (2):57-70.
Christy, C.D., T.M. Christy and V. Wittig. . 1994. “A Percussion Probing Tool for the Direct Sensing of Soil Conductivity. .” Proceedings of the 8th National Outdoor Action Conference:381-394.
Christy, T.M. 1996. “A Driveable Permeable Membrane Sensor for the Detecyion of Colatile Compounds in Soil. .” Proceedings of the Tenth National Outdoor Action Conference:169-177.
Churcher, P. L., R. D. Dickhout. 1987. “Analysis of ancient sediments for total organic carbon—Some new ideas, .” Journal of Geochemical Exploration 29:235-246.
Clement, W. P., W. Barrash, M. D. Knoll. 2006. “Reflectivity modeling of ground penetrating radar.” Geophysics 71 (3):K59-K66. doi: 10.1190/1.2194528.
Cohen, R., M. J. Mercer. 1993. DNAPL Site Evaluation. edited by USEPA Office of Research and Development.
COLOG 2012. “Hydrophysical and Geophysical Logging Redstone Arsenal.”
Considine, T. and A. Robbat, Jr. 2008. “On-Site Profiling and Speciation of Polycyclic Aromatic Hydrocarbons at Manufactured Gas Plant Sites by a High Temperature Transfer Line, Membrane Inlet Probe Coupled to a Photoionization Detector and Gas Chromatograph/Mass Spectrometer.” Environmental Science and Technology 42.
Cook, P.G., and J.K. BÖhlke. 2000. “Determining Timescale for Groundwater Flow and Solute Transport inEDS.”.
Cooper, H. H., and C. E. Jacob. 1946. “A generalize graphical method for evaluating formation constants and summarizing well field history.” American Geophysical Union 27:526-534.
Coplen, T.B., A.L. Herczeg, and C. Barnes. 1999. “Isotope Engineering Using Stable Isotopes of the Water Molecule to Solve practivcal Problems in Eds.”.
Costanza, J. and W. M. Davis. 2000a. “Rapid Detection of Volatile Organic Compounds in the Subsurface by Membrane Introduction into a Direct Sampling Ion Trap Mass Spectrometer. .” Field Analytical Chemistry and Technology 4 (5):246-254.
Costanza, J., and W. M. Davis. . 2000b. “Rapid Detection of Volatile Organic Compounds in the Subsurface by Membrane Introduction into a Direct Sampling Ion Trap Mass Spectrometer ” Field Analytical Chemistry and Technology 4 (5):246 – 254.
Dafflon, B., J. Irving, and W. Barrash. 2011. “Inversion of multiple intersecting high resolution crosshole GPR profiles for hydrological characterization at the Boise Hydrogeophysical Research Site.” Journal of Applied Geophysics 73 (4):305-314.
Daughney, C. J., T. R. Bryar. R. J. Knight. 2000. “Detecting sorbed hydrocarbons in a porous medium using proton nuclear magnetic resonance.” Environmental Science and Technology 34 (1):332-337.
Davis, G., B.R. Baldwin, A.D. Peacock, D. Ogles, G.M. White, S.L. Boyle, E. Raes, S.S. Koenigsberg, and K.L. Sublette. 2008. “ntegrated approach to PCE-impacted site characterization, site management and enhanced bioremediation.” Remediation 18 (3):5 – 17.
Davis, Powell, Conecny, Furey, Thompson, Wise, Robitaille. 1997. “Rapid In-situ Determination of Volatile Organic Contaminants in Groundwater Using Site Characterization and Analysis Penetrometer System.” Proceedings of Field Analytical methods for Hazardous Waste and Toxic Chemical Conference by AWMA.
Davis, W. M., M. B. Wise, J. S. Furey, C. V. Thompson. 1998. Rapid detection of volatile organic compounds in groundwater by in situ purge and direct-sampling ion-trap mass spectrometry. Vol. 2, Field Analytical Chemistry and Technology.
Davis, W.M. and J.S. Hayworth 2006. “Characterization of a Complex DNAPL Site Using the Triad Approach.” In Proceedings of the 2006 North American Environmental Field Conference, Nielsen,,D. and Nielsen, G., eds., Nielsen Environmental Field School, Galena, OH, 2006, pp 1-34.
Day-Lewis, F., J. Lane, J. Harris, S. Gorelick. 2003. “Time-lapse imaging of saline tracer tests using cross-borehole radar tomography.” Water Resource Research 39 (10):1290-1303.
DeBruyn, J.M., C.S. Chewning and G.S. Sayler. 2007. “Comparative Qauntitative Prevelance of Mycobacilis and Functionality Abundantnida, nahac, and nagAc Dioxygenase Genes in Coal Tar Contaminated Sediment.” Environmental Science and technology 41 (15):5426 -5432.
Dincutoiu, I., T. Gorecki, and B. L. Parker. 2006. “Microwave-assisted extraction of trichloroethylene from clay samples.” International Journal of Environmental Analytical Chemistry 86 (15):1113-1125.
Dincutoiu, I., T. Gorecki, B. L. Parker. 2003a. “Microwave-assisted extraction of trichloroethylene from clay samples.” International Journal of Environmental Analytical Chemistry 86 (15):1113-1125.
Dincutoiu, I., T. Gorecki, B. L. Parker 2003b. “A novel technique for rapid extraction of volatile organohalogen compounds from low permeability media.” Environmental Science and Technology 37 (17):3978-3984.
DM., Nielsen. 2006. “Practical Handbook of Environmental Site Characterization and Groundwater Monitoring.” CRC Press.
Doe, T. W., J. Remer, W. J. Schwarz. 1980. “Analysis of constant-head well tests in nonporous fractured rock.” Proceedings of the 3rd International Well Testing Symposium, Beerkely, California.
Drost, W., D. Klotz, A Koch, M. Heribert, F. Neumaier, R. Weme. 1968. “Point Dilution Methods of Investigating GroundW ater Flow by Means Radioisotopes.” Water Resources Research 4 (1):125-146.
Einarson, M. D., A. Fure, R. St Germain, S. Chapman, B. L. Parker. 2012. “DYE-LIF™ – A new direct push optical screening tool for high resolution, real time mapping of chlorinated solvent DNAPL in the subsurface.” Eighth International Battelle Conference – Remediation of Chlorinated Recalcitrant Compounds, Monterey California.
Einarson, M. D., J. A. Cherry. 2002. “A new multilevel ground water monitoring system using multichannel tubing.” Ground Water Monitoring & Remediation, 22 (4):52-65.
Einarson, M.D. . 2006. “Multilevel ground-water monitoring. .” In Practical Handbook of Environmental Site Characterization and Ground-Water Monitoring, 2nd ed 11:808 + 848.
Elsworth, D., and T.W. Doe. 1986a. “Application of non-linear flow laws in determining rock fissure geometry from single borehole pumping tests.” International Rock Mechanics 23:245 – 254.
Elsworth, D., T. W. Doe, . 1986b. “Application of non-linear flow laws in determining rock fissure geometry from single borehole pumping tests.” Inrternational Rock Mechanics 23:245-254.
Ernst, J. R., H Maurer, A. G. Gree, K. Holliger. 2007. “Application of a new 2D time-domain full-waveform inversion scheme to crosshole radar data. .” Geophysics 72:J53-J64.
ESTCP. 2002. Tri-Service Site Characterization and Analysis Penetrometer System (SCAPS) Membrane Interface Probe. Cost and Performance Report. ESTCP-SERDP.
ESTCP. 2011. Tri-Service Site Characterization and Analysis Penetrometer System (SCAPS) Membrane Interface Probe. Cost and Performance Repor. ESTCP-SERDP.
ESTCP, SERDP -. 2012. “Delivery and mixing in the Subsurface: Processes and Design principles for In Situ Remediation. .” Springer Science and Business Media New York 2012. .
Ferland, C. F., R. W. St. Germain, P. Haederle, D. Ostrye, and J. Perlow, . 2004. “Rapid Delineation of OLM/TLM in Soil using the Tar-Specific Green Optical Screening Tool (TarGOST).” Proceeding: Natural Gas Technologies II: Ingenuity & Innovation,.
Ferry, R.A; L.R. Rueth, R.K.Landgraf, B.J. Qialheim, P.M. Kearle, . 1995. “Direct Groundwater Flow Direction and Velocity Measurements using the Colloidal Borescope. .” ER Conference, Denver CO.
Fichtner, A. 2011. “Full Seismic Modelling and Inversion, Advances in Geophysical and Environmental Mechanics and Mathmatics ” Springer=Verlag. doi: 10.1007/978-3-642-15807-0_1.
Gale, J. E. 1982. “Assessing the permeability characteristics of fractured rock.” Geological Society of America 189 (163-181).
Ganzler, K., A. Salgo, and L. Valko. 1986. “Microwave extraction a novel sample preparation method for chromatography.” Journal of Chromatography 371:299-306.
Gefell, M. J., L. A. Hamilton, D. J. Stout. 1999. “A comparison between low-flow and passive-diffusion bag sampling results for dissolved volatile organics in fractured sedimentary bedrock.” Proceedings of the Petroleum Hydrocarbons and Organic Chemicals in Ground Water: Prevention, Detection and Remediation Conference.
Geoprobe. 2009. “Geoprobe® Membrane Interface Probe (MIP) Standard Operating Procedure. .” Technical Bulletin No. MK3010.
Greene, E. A., and A. M. Shapiro. 2001. Methods of conducting air-pressurized slug tests and computation of type curves for estimating transmissivity and storativity. edited by USGS.
Gringarten, A. C. 1984. “Interpretation of Tests in Fissured and Multilayered Reservoirs with Double-Porosity Behavior: Theory and Practice.” Journal of Petroleum Technology 36 (4):549-564.
Gringarten, A. C. 1987. “How to Recognize ‘Double-Porosity’ Systems from Well Tests.” Canadian Metallurgical Quarterly 39 (6):631-633.
Gringarten, A. C., P.A. Witherspoon. 1972. “A method of analyzing pump test data from fractured aquifers.” International Society for Rock Mechanics Conference: Percolation through Fissured Rock, , Stuttgart, Germany.
Guerin, R. 2005. “Borehole and surface-based hydrogeophysics.” Hydrogeology journal 13 (1):251-254.
Gupta, Singhal B.B.S. and R. P. 1999. “Applied Hydrogeology of Fractured Rocks.”
Haimson, B. C., T. W. Doe. 1983. “State of stress, permeability, and fractures in the Precambrian granite of northwestern Illinois.” Journal of Geophysical Research 88(B) (7355-7371).
Harrington, G. A., and M. J. Hendry. 2006. “Using Direct-Push EC logging to Delineate Heterogeneity in a Clay-Rich Aquitard.” Groundwater Monitorng and Remediation 26 (1):92-100.
Harte, P.T. 2013a. “Geochemical, Isotopic, and Dissolved Gas Characteristics of Groundwater in a Fractured Crystalline Rock Aquifer, Savage Municipal Well Superfund Site, milford New Hampshire.” Inited State Geological Survey Open File Report 2013-1089:25.
Harte, P.T. 2013b. “Hydraulically Controlled Discrete Sampling From Open Boreholes.” Groundwater. doi: 10.1111/gwat.12120. .
Hartog, N., J. Cho, B. L. Parker, M. D. Annable 2010. “Characterization of a heterogeneous DNAPL Source Zone in the Borden Aquifer Using Partitioning and Interfacial Tracers: Residual morphologies and Background sorption.” Journal of Contaminant hydrology 115:79-89.
Hatfield, K., M.D. Annable, J. Cho, P.S.C. Rao, and H. Klammle. 2004. “A direct method for measuring water and contaminant fluxes in porous media. .” Contaminant Hydrology 75:155 – 181.
Hedrick, D.B, A. Peacock, J.R. Stephen, S.J. MacNaughton, J. Bruggemann, and D.C. White. 2000. “Measuring Soil Microbial Community Diversity Using Polar Lipid Fatty Acid and Denatured Gradient Gel Electrophoresis Data,”.” Journal of Microbiological Methods 41:235 -248.
Henrickson, _E.R., J.__Payne, R.M. _Young, M.G. _Starr,_M.P._Perry,_S. _Fahnesock,_E.E. _Ellis,_and_R.C._Ebersole. 2002. “Molecular_Analysis of _Dehalococcoides 16S_Ribosomal_DNA_from__Chloroethene-_Contaminated _Sites _throughout _North _America_and _Europe.” Applied and Environmental Microbiology 68 (2):485 – 495.
Hewitt, A. D. 1998. “Comparison of sample preparation methods for the analysis of volatile organic compounds in soil samples: solvent extraction vs. vapor partitioning.” Environmental Science and Technology 32:143-149.
Holloway, O. G., J. P. Waddell. 2008. Design and operation of a borehole straddle packer for ground-water sampling and hydraulic testing of discrete intervals at U.S. Air Force Plant 6, Marietta, Georgia edited by USGS. Reston Virginia.
Hoover, D. B. , M. P. Chornack, and M. M. Broker 1987. “E-field Ratio Telluric Traverses Near Fortymile Washington, Nevada test Site, Nevada ” USGS Open File Report 87-109 82-401.
Horner, D. R. 1951. “Pressure build up in wells.” Proceedings of the Third World Petroleum Congress, Section II Drilling and Production, Society of Petroleum Engineers, The Hague.
Hristova, K., B. Gebreyesus, D. Mackay, and K. M. Scow. . 2003. “Naturally Occurring Bacteria Similar to the Methyl tert-Butyl Ether (MTBE)–Degrading Strain PM1 Are Present in MTBE-Contaminated Groundwater.” Applied and Environmental Microbiology 69 (5):2616 – 2623.
Illman, W. A., D. M. Tartkovsky. 2006. “Asymptotic Analysis of Cross-Hole Hydraulic Tests in Fractured Granite.” Ground Water 44 (4):555-563.
Illman, W., X. Liu, S. Takeuchi, Tia-Chyl Jim Yeh, K. Ando, H. Saegusa. 2009. “Hydraulic tomography in fractured granite: Mizunami underground research site.” Water Resources Research 45 (W01406).
Illman, W.A., A.J. Craig, X, Liu. 2008. “Practical issues in imaging hydraulic conductivity through hydraulic tomography. .” Ground water 46 (1):120-132.
Imhoff, P. T., K. Pirestani, Y. Jafarpour, and K. M. Spivey 2003. “Tracer interaction effects during partitioning tracer tests for NAPL detection.” Environmnetal Science and Technology 37 (7):1441 -1447.
Irving, J. D., M. D. Knoll, R. J. Knight. 2007. “Improving cross hole radar velocity tomograms: a new approach to incorporating high-angle travel time data.” Geophysics 72 (4):J31-J41.
ITRC. 2007. Protocol for Use of Five Passive Samplers to Sample for a Variety of Contaminants in Groundwater. Washington D.C.: Interstate Technology and Regulatory Council.
ITRC. 2011. Environmental Molecular Diagnostics Fact Sheets. EMD-1. Washington, D.C.: interstate Technology and Regualtory Council.
ITRC. 2013. “Groundwater Statistics and Monitoring Compliance Website.” Interstate Technology and Regulatory Council.
ITRC, Interstate Technology & Regulatory Council. 2010. “Use and Measurement of Mass Flux and Mass Discharge. .” Washington, D.C.: Interstate Technology & Regulatory Council, Integrated DNAPL Site Strategy Team (MASSFLUX-1).
Jacob, C. E. 1946. “Effective radius of drawdown test to determine artesian well.” American Society of Civil Engineering 72 (5):629-646.
Jacob, C. E. . 1963. The recovery method for determining the coefficient of transmissibility. edited by USGS.
Jalbert, M., J. H. Dane, and L. Bahaminyakamwe 2003. “Influence of porous medium and NAPL distribution heterogeneities on partitioning inter-well tracer tests: a laboratory investigation.” Journal of Hydrology 272:79 – 94.
Jin, M., G.W. Butler, R.E. Jackson, P.E. Mariner, J/F. Pickens, G.A. Pope, C.L. Brown, and D.C. McKinney. 1997. “Sensitivity models and Design protocol for Partitioning tracer Tests in Alluvial Aquifers.” Groundwater 35 (6):964 – 972.
Jin, M., M. Delshad, V. Dwarakanath, D.C. McKinney, G.A Pope, K. Speehrnoori, and C.E. Tilburg. . 1995. “Partitioning tracer test for detection, estimation and remediation performance assessment of subsurface nonaqueous phase liquids.” Water Resource Research 31 (5):1201 – 1211.
Jorge, C. 2015. “Methodology for the identification of leachates losses in waste landfill sites – ” Contaminated Soil and rocks. doi: 10.13140/RG.2.1.1052.6247. .
Kazemi, H 1969. “Pressure transient analysis of naturally fractured reservoirs with uniform fracture distribution. .” Society of Petroleum engineers 43rd Annual FallMeeting, Houston TX.
Kearl, P.M. . 1997. “Observations of Particle movement in a monitoring well Using the colloidal Borescope.” Journal of Hydrogeology 200:323 – 344.
Kearl, P.M., K. Roemer,. 1998. “Evaluation of Groundwater Flow Directions in a Heterogeneous Aquifer Using the Colloidal Borescope,.” Advances in Environmenbtal Research 2 (1):12 – 23.
Kearle, P.M., F.G. Gardner, M.J. Gunderson, . 1993. “Groundwater Flow delineation Study at the Massachusetts military Reservation Using the Colloidal Borescope.”
Kearle, P.M. K. Roemer, E.B Rogoff, R.M. Renn, . 1998. “Characterization of fractured Aquifer Using the Colloidal Borescope. .” Advances in Environmental research 3 (1).
Kelleher, D 2003. “Practical logging descriptions of rock core for hydrogeologic projects.”
Keller, C. 2009. “Utility of Flexible Liner Methods in Karst Formations.” 5th Conference on Hydrogeology, Ecology, Monitoring and Management of Ground Water in Karst Terrains, Safety Harbor, Florida.
Keller, C. 2012. “Hydrologic Spatial Resolution Using Flexible Liners.” AIPG May June 2012.
Keller, C. . 2016. “A new rapid method for measuring the vertical head profile.” Groundwater. doi: 10.1111/gwat.12455.
Kennel, J. K. . 2008. “Advances in rock core VOC analysis for high resolution characterization of chlorinated solvent contamination in a dolostone aquifer.” University of Waterloo.
Kenyon, W. E., C. Straley, and J. F. Willemsen 1988. “A three-part study of NMR longitudinal relaxation properties of water-saturated sandstones, Society of Petroleum Engineering Form. .” Society ofPetroleum Engineers SPE-15643-PA. doi: 10.2118/15643-PA.
Keys, W.S. 1990. Borehole geophysics applied to ground-water investigations. edited by USGS.
Keys, W.S. 1997. “A Practical Guide to Borehole Geophysics in Environmental Investigations.” CRC Press, Inc.
Kinniburgh, D. G., and D. L. Miles. 1983. “Extraction and chemical analysis of interstitial water from soil and rocks.” Environmental Science and Technology 17 (362-368).
Kober, R., G. Hornbruch, C.Leven, L. Tischer, J. GroBmann, P. Dietrich, H. Weib and A. Dahmke. 2009. “Evaluation of Combined Direct-Push Methods Used for Aquifer Model Generation.” Ground Water 47 (4):536-546.
Kobr, M., S. Mares, and F. Paillet. 2005. “Borehole geophysics for hydrogeological studies: Principles and applications, .” In Hydrogeophysics, edited by Y. Rubin and S.S. Hubbard. Water Science and Technoolgy Library: Springer.
Kocal, A.; H.S. Duzgun; C. Karpuz. . “Discontinuity Mapping with Automatic Lineament Extraction From high Resolution Satellite Imagery. .”
Kram, M. L., A. A. Keller, J. Rossabi, L. G. Everett, . 2001a. “DNAPL Characterization Methods and Approaches, Part 1: Performance Comparisons.” Ground Water Monitoring and Remediation Fall 2001:109-123.
Kram, M., Lieberman, S., Fee, J. and Keller, A., . 2001b. “Use of LIF for real-time in-situ mixed NAPL source zone detection.” Grooundwater Monitoring 21 (1):67 – 76.
Kram ML & AA Keller. 2003a. “Complex NAPL Site Characterization using Fluorescence Part 2: Analysis of Soil Matrix Effects on the Excitation/Mission Matrix.” Soil and Sediment Contamination, 13 (2):119 – 134.
Kram ML & AA Keller. 2003b. “Complex NAPL Site Characterization using Fluorescence Part 3: Detection Capabilities for Specific Excitation Sources. .” Soil and Sediment Contamination, 13 (2):135 – 148.
Kreuzer-Martin. 2007. “Stable isotope probing: Linking functional activity to specific members of microbial communities.” Soil Science Society of America Journal, 71 (2):611-619. doi: 10.2136/sssaj2006.0093.
Kuder, T., J. T. Wilson, P. Kaiser, R. Kolhatkar, P. Philp, and J. Allen. 2005. “Enrichment of Stable Carbon and Hydrogen Isotopes during Anaerobic Biodegradation of MTBE: Microcosm and Field Evidence”.” Environmental Science & Technology 39 (1):213-220.
Kurup, P. U. . 2009. “Novel Technologies for Sniffing Soil and Groundwater Contaminants.” CURRENT SCIENCE OF INDIA 97:1212-1219.
Lane, J.W., Jr., White, E.A., Steele, G.V., and Cannia, J.C. 2008. “Estimation of bedrock depth using the horizontal-to-vertical (H/V) ambient-noise seismic method, in Symposium on the Application of Geophysics to Engineering and Environmental Problems, .” Environmental and Engineering Geophysical Society, Proceedings:13.
Lane, J.W., Jr.; Liu, Lanbo; Chen, Yongping; and White, E.A., . 2007. “Near-surface site characterization using a combination of active and passive seismic arrays: EOS Transactions,.” American Geophysical Union 88 (52).
Lapcevic P.A., K.S. Novakowski, E.A. Sudicky 1999. Groundwater flow and solute transport in fractured media. . Edited by J.W. Delleur. Vol. Groundwater Engineering Handbook: CRC Press.
Lapcevic, P.A., K.S., Novakowski & F.L. Paillet,. 1993. “Analysis of flow in an observation well intersecting a single fracture.” Journal of Hydrology 151 (2-4):229-239.
Lawrence, A.R., P.J. Chilton,R.J. Barron, W.M. Thomas, . 1990. “A method for determining volatile organic solvents in chalk pore waters (southern and eastern England) and its relevance to the evaluation of groundwater contamination.” Journal of Contaminant Hydrology 6:377-386.
Lee, D. R. . 1985. “Semi-quantitative measurement of water flow through fractured crystalline rock using the borehole-dilution technique.” International Association of Hydrogeologists 17 (1):792.
Lee, P.K., T.W. Macbeth, K.S. Sorenson, Jr., R.A. Deeb, L. Alvarez-Cohen. . 2008. “Quantifying Genes and Transcripts to Assess the In Situ Physiology of Dehalococcoides spp. in a Trichloroethene-Contaminated Groundwater Site.” Applied and Environmental Microbiology 74 (9):2828 – 2939.
Levy, B.S., L.J. Pannell, J.P. Dadoly. 1993. “A pressure-packer system for conducting rising head tests in water table wells.” Journal of Hygrology 148 (1-4):189-202.
Lieberman, Boss, Anderson, Heron, Udell 2000. “Characterization of NAPL distributions Using In-Situ Imaging and LIF, .” Proceedings for the Second International Conference on the Remediation of Chlorinated and Recalcitrant Compounds, Monterey California.
Liu, Lanbo; Zhu, Lieyuan; and Lane, J.W., Jr., . 2007. “Analysis of the two-dimensional effect in the H/V spectral ratio method for bedrock depth estimation on bedrock depth estimation by the H/V seismic method [abs]: .” American Geophysical Union 88 (52).
Lockman, D.F., R.P. George, M.J. Hayes. 1997. “A Systematic Technique for Describing and Quantifying Fractures in Core.” The Pacific Section American Association of Petroleum Geologists, Bakersfield, California.
Loke, M. H., J. E. Chambers, D. F. Rucker, O. Kuras, and P. B. Wilkinson. . 2013. “Recent Developments in the Direct-current Geoelectrical Imaging Method.” Journal of Allied Geophysics 95:135 – 156.
Londergan, J.T., H.W. Meinardus, P.E. Mariner, R.E. Jackson, C.L. Brown, V. Dwarakanath, G.A. Pope, J.S. Ginn, snf S. Taffinder. 2001. “DNAPL Removal from a Heterogeneous Alluvial Aquifer by Surfactant Enhanced Aquifer Remediation.” Groundwater Monitoring and Remediation 21 (4):57 – 67.
Looney, Jerome, Davey. 1998. “Single Well DNAPL Characterization Using Alcohol Injection/Extraction.” Proceedings for the First International Conference on Remediation of Chlorinated and Recalcitrant Compounds, Monterey, Californai.
Lopez-Avilla, V., R., Young, W.F., Beckert. 1994. “Microwave-Assisted extraction of organic compounds from standard reference soils and sediments.” Analytical Chemistry 66:1097-1106.
Lunne, T., Robertson, P.K. and Powell, J.J.M., . 1997. “Cone Penetration Testing in Geotechnical Practice. .” EF Spon/Blackie Academic, Routledge Publishers, London:312.
Lutenegger, A.J. and DeGroot, D.J. . 1995. “Sealing Cone Penetrometer Holes to Protect the Subsurface Environment.” Canadian Geotechnical Journal, 32 (5):880 – 891.
Mackie, C.D. . 1982. “Multi-rate testing in fractured formations.” Australian Water Resources Council Conference Series 5:139-149.
Maini, Y.N. . 1971. “In-situ hydraulic parameters in jointed rock their measurement and interpretation.” Imperial College, London.
Maliva, R., E., Clayton, and T. Missimer. 2009. “Application of advanced borehole geophysical logging to managed aquifer recharge investigations.” Hydrogeology Journal 6:1547-1556.
Mariner, P.E., M. Jin, J. E. Studer, G. Pope. 1991. “First Vadose Zone Partitioning Interwell tracer test for Nonaqueous Phase Liquid and Water residual.” Environmental Science and Technology 33 (16):2825 – 2828.
McAndrews, B., , K. Heinze and W. DiGuiseppi. 2003. “Defining TCE Plume Source Areas Using the Membrane Interface Probe (MIP).” Soil and Sediment Contamination: An International Journal 12 (6):799-813. doi: 10.1080/714037716.
McCall, W. 2011. “Application of the Geoprobe® HPT Logging System for Geo-Environmental Investigations.” Geoprobe® Technical Bulletin No. MK3184.
McCall, W. . 2010. “Tech Guide for Calculation of Estimated Hydraulic Conductivity (Est. K) Log from HPT Data.” Kejr Inc./Georpobe Systems.
McCall, W. and P. Zimmerman. 2000. “Direct Push Electrical and CPT Logging: An Introduction.” Proceedings of the Seventh International Symposium on Borehole Geophysics for Minerals, Geotechnical and Groundwater Applications.:103-114.
McCall, W., D.M.Nielsen, S.P.Farrington, and T.M.Christy. . 2006a. Use of Direct-Push Technologies in Environmental Site Characterization and Ground-Water Monitoring. Edited by D. M. Nielsen. Vol. Practical Handbook of Ground Water Monitoring, 2nd Edition: CRC Press.
McCall, W., Nielsen, D.M., Farrington, S., Christy, T.M.: . 2005. “Use of direct-push technologies in environmental site characterization and ground-water monitoring. In: Nielsen, D.M. ed.) The practical handbook of environmental site characterization and groundwater monitoring, 2nd e.” 2:345 – 472.
McCall, Wesley, Thomas M. Christy, Thomas Christopherson, and Howard Isaacs. 2009. “Application of Direct Push Methods to Investigate Uranium Distribution in an Alluvial Aquifer.” Ground Water Mon. & Rem 29 (4):65-76.
McCall, Wesley, David M. Nielsen, Stephen P. Farrington and Thomas M. Christy. 2006b. “Use of Direct-Push Technologies in Environmental Site Characterization and Ground-Water Monitoring. In Practical Handbook of Environmental Site Characterization and Ground-Water Monitoring, 2nd Edition.”345-471.
McElwee, C.D. . 2001. “Application of a nonlinear slug test model.” Ground Water 39 (5):737-744.
McElwee, C.D., , M.A. Zenner. 1998. “A nonlinear model for analysis of slug-test data.” Water Resource Research 34 (1):55-66.
McNeill, J. D. 1986. Geonics EM39 borehole conductivity meter, theory of operation. In Technical note TN-20, Geonics Ltd., .
McNeill, J. D., M. Bosnar, and F. B. Snelgrove, . 1990. Resolution of an electromagnetic borehole conductivity logger for geotechnical and groundwater applications: . In Technical note TN-25, Geonics Ltd.
McNeill, J.D. 1994. “Principles and application of time domain electromagnetic techniques for resistivity sounding. .” Geomics Ltd Technical Note TN-27.
McNeill, J.D. and V.F. Labson. 1991. “Electromagnetic Methods in Applied GeophysicsGeologic mapping using VLF radio fields, .” Society of Exploration Geophysics:561 – 640.
Menardus, H.W., V. Dwarakanath, J. Ewing, G.J. Hirisaki, R.E. Jackson, M. Jin, J.S. Ginn, J.T. Londergan, C.A. Miller, G.A. Pope, . 2002. “Performance Assessment of NAPL Remediation in Heterogeneous Alluvium.” Journal of Contaminant Hydrology 5 54:172 – 193.
Michalski, A. 1990a. “Hydrogeology Of The Brunswick (Passaic) Formation And Implications For Ground Water Monitoring Practice.” Groundwater Monitoring Review X (4):134 – 143.
Michalski, A. 2010a. “Characterization of Contaminated-Bedrock Sites in the Newark Basin: Selecting Conceptual Flow Model and Characterization Tools, In: Contributions to the Geology and Hydrogeology of the Newark Basin.” NJ Geological Survey Bulletin 77 (D):12.
Michalski, A. . 2010b. “Characterization of Contaminated Bedrock Sites in the Newark Basin: Selecting Conceptual Flow Model and Characterization Tools. In: Herman, G.C. and Serfes, M.E., eds. Contributions to the geology and hydrogeology of the Newark Basin.” NJ Geological Survey Bulletin 77:D1 – D12.
Michalski, A. and G.M. Klepp. . 1990b. “Characterization of Transmissive Fractures by Simple Tracing of In-well Flow.” Groundwater 28 (2):191 – 198.
Moreno-Barbera, E., T.H. Illangesekarus, . 2006. “Influence of Dense Nonaqueous Phase Liquid Pool Morphology on the Performance of Partitioning Tracer Tests: Evaluation of the equilibrium Assumptions.” Water Resouce Research 42 (W04408).
Mosier-Boss, Newbery, Lieberman, . 1997. “Development of a Cone-Penetrometer Deployed Solvent Sensor Using a SERS fiber optic probe.” Specialty Conference on Field Analytical Methods for Hazardous Waste and Toxic Chemicals, AWMA, Pittsburgh, Pennsylvania.
MSE Technology Applications, Inc. 2000. Cost Analysis of Dense Non Aqueous Phase Liquid Characterization Tools, . edited by U.S. Department of Energy.
Murdoch, L.C., and Germanovich, L.N. . 2006. “Analysis of a deformable fracture in permeable material.” International Journal for Numerical and Analytical Methods in Geomechanics 30 (529-561).
NASA. 2017. “National Aeronautics and Space Administratioin “.
Nelson, M.D., Parker, B.L., Al, T.A., Cherry, J.A., & Loomer, D. . 2001. “Geochemical reactions resulting from in situ oxidation of PCE-DNAPL by KMnO (sub 4) in a sandy aquifer.” Environmental Science & Technology 35 (6):1266 – 1275.
Nelson, N.T., M. Oostrom, T.W. Wietsma, and M.L. Brusseau. 1999. “Partitioning Tracer Method for the In Situ Measurement of DNAPL Saturation: Influence of Heterogeneity and Sampling Method.” Environmental Science and Technology 33:4046 – 4053.
Nicholson, R.V., Cherry, J.A., & Reardon, E.J. 1983. “Migration of contaminants in groundwater at a landfill; a case study.” Journal of Hydrology 63 (1-2):121 – 176.
NJDEP. 2012. “Ground Water Technical Guidance.” New Jersey Department of Environmental Protection:31 – 36.
Novakowski, K.S. & Lapcevic, P.A. 1994. “Field Measurement of Radial Solute Transport in Fractured Rock.” Water Resources Research 30 (1):37-44.
Novakowski, K.S., Bickerton, G. and Lapcevic, P. 2004a. “Interpretation of Injection-Withdrawal Tracer Experiments Conducted Between Two wells in a large Single Fracture. .” Journal of Contaminant Hydrogeology 73:227 – 247.
Novakowski, K.S., G. Bickerton, & P. Lapcevic 2004b. “Interpretation of Injection-withdrawal Tracer Experiments Conducted Between Two Wells in a Large Single Fracture.” Journal of Contaminant Hydrology 73 (1-4):227-247.
NRC, National Research Council. 1996. “Hydraulic and Tracer Testing of Fractured Rocks. Rock Fractures and Fluid Flow: Contemporary Understanding and Applications.” National Academy of Science. .
Osborn, A. M., E. R. B. Moore, and K. N. Timmis. 2001. “An Evaluation of Terminal-Restriction Fragment Length Polymorphism (T-RFLP) Analysis for the Study of Microbial Community Structure and Dynamics.” Environmental Microbiology 2:39-50.
Otz, M. H. 2005a. “Using Spectro-fluorometry and Fluorescent Dye-tracing to Investigate Hydrologic Processes in Organic-rich Environments.” (Earth Science Dissertation).
Otz, M. H., E.J. Hinchey,J.S. Fox, C.D. Wunderlich, and K.L. Perritt 2005b. “Intrinsic Background Fluorescence Analysis as an Easy Tool to Delineate Organic Contaminant Plumes.” Geological Society of America, Northeastern Section, 40th annual meeting March 14 – 16, 2005 (Poster Session No 32- Booth 19 ).
Øvreås, Torsvik V. and L. 2002. “Microbial diversity and function in soil: from genes to ecosystems.” Microbiology 3.
P., Pollard. 1959. “Evaluation of Acid Treatments from Pressure Build-up Analysis.” American Institute of Mining, Metallurgical, and Petroleum Engineers 216:38-43.
Paillet, F.L. 2000. “A Field Technique for Estimating Aquifer Parameters Using Flow Log Data.” Groundwater 38:510-521.
Paillet, F.L. . 2001. “Hydraulic Head Applications of Flow Logs in the Study of Heterogeneous Aquifers.” Ground Water 39 (5):667-675.
Paillet, F.L., J. Williams, E.A. Romanowicz. 2010. “Comparison of Borehole Flow Measurements Obtained by Heat Pulse Flowmeter and Dilution Logging in a Fractured Bedrock Aquifer.” SAGEEP Proceedings 2010 50 – 63.
Pankow, J. F., and J. A. Cherry. . 1996. “Dense Chlorinated Solvents and other DNAPLs in Groundwater. .” Waterloo Press.
Park, C.B., R,D. Miller, and J. Xia. 1999. “Multichannel analysis of surface waves.” Gepophysics 64:800 – 808.
Parker, B. L., J. A. Cherry, S. W. Chapman, and M.. A. Guilbeault. 2003. “Review and Analysis of Chlorinated Solvent DNAPL Distributions in 5 Sandy Aquifers.” Vadose Zone Journal 2:116-137.
Parker B.L, S.W. Chapman, J.A. Cherry. 2010. “Plume Persistence in Fractured Sedimentary Rock after Source Zone Removal.” Ground Water 48 (6):799-808.
Parker B.L, S.W. Chapman, J.A. Cherry. 2011. “Advances in the DFN Approach for Investigating Contaminated Sites on Fractured Sedimentary Rock.” National Ground Water Association NGWA Focus Conference on Fractured Rock and Eastern Groundwater Regional Issues, September 26-27, 2011.
Parker, B.L., J.A. Cherry, & B.J. Swanson 2006. “A Multilevel System for High-resolution Monitoring in Rotasonic Boreholes.” Ground Water Monitoring & Remediation 26 (4):57-73.
Parker, B.L., R.W. Gillham,J.A. Cherry 1994. “Diffusive Disappearance of Immiscible-phase Organic Liquids in Fractured Geologic Media.” Ground Water 32 (5):805-820.
Patton, F.D., H.R. Smith 1988. “Design Considerations and the Quality of Data from Multiple-level Ground-water Monitoring Wells.” In: Collins, A.G. and Johnson,A.I. (Editors), Ground-Water Contamination: Field Methods, ASTM STP 963.
Pavlov AR, Pavlova NV, Kozyavkin SA, Slesarev AI. 2006. “Thermostable DNA Polymerase for a Wide Spectrum of App;ications: Comparison of a Robust Hybrid TopoTaq to other Enzymes ” In Kieleczawa J. DNA Sequencing II: Optimizing Preparation and Cleanup. Jones and Bartlett. pp. 241–257,.
Pedler, W. H.; C.L. Head; L.L. Williams; . “Hydrophysical logging: a New Wellbore Technology for Hydrogeologic and Contaminant Characterization of Aquifers. .”
Pehme, P.E., B.L. Parker, J.A. Cherry, and J. P. Greenhouse. 2010. “Improved resolution of ambient flow through fractured rock with temperature logs. .” Ground Water 48 (2):191 – 205.
Pernthaler, A, and R. Amann. 2002. “Simultaneous Fluorescence In Situ Hybridization of mRNA and rRNA in Environmental Bacteria.” Applied and Environmental Microbiology 70 (9). doi: http://dx.doi.org/10.1128%2FAEM.70.9.5426-5433.2004.
Price M, A.S. Robertson, S.S.D. Foster. 1977. “Chalk Permeability – A study of Vertical Variation Using Water Injection Tests and Borehole Logging.” Water Serv. 81 (980):603-608, 610.
Price M, B. Morris, A. Robertson 1982. “A study of Intergranular and Fissure Permeability in Chalk and Permian Aquifers, Using Double-Packer Injection Testing.” Journal of Hydrology 54 (4):401-423.
Price, M. 2009. “Barometric Water-level Fluctuations and their Measurement Using Vented and Non-vented Pressure Transducers.” Quarterly Journal of Engineering Geology and Hydrogeology 42:245-250.
Quinn P.M., J. A. Cherry, B. L. Parker. 2011. “Quantification of Non-Darcian Flow Observed Dduring packer testing in fractured sedimentary rock.” Water Resources Research 47:15 doi: 10.1029/2010WR009681
Quinn, P.M., J.A. Cherry, and B.L. Parker. 2012. “Hydraulic Testing Using a Versatile Straddle Packer System for Improved Transmissivity Estimation in Fractured Rock Boreholes.” Hydrogeology journal.
R.G., Patchett. 1993. “Pneumatic Well Insert; Performing Pneumatic Rising Head Tests in Wells with Screens Straddling the Water Table.” Outdoor Action Conference, Las Vegas, NV, United States, May 25-27, 1993.
Rao, P.S.C., M.D. Annable and H. Kim. . 2000. “NAPL Source Zone Characterization and Remediation Technology Performance Assessment: Recent Developments and Application of Tracer Techniques.” Journal of Contaminant Hydrology 45:1 – 20, 63 – 78.
Ravella, M., R. J. Fiacco, Jr., J. Frazier, D.Wanty and L. Burkhardt. 2007. “Application of the Membrane Interface Probe (MIP) to Delineate Subsurface DNAPL Contamination.” Environmental Engineer: Applied Research and Practice 1.
Read, T., V.F. Bense, O. Bour, T. Le Borgne, N. Lavenant, R. Hochreutener, and J.S. Selker. . 2015. “Thermal-Plume Fibre Optic Tracking (T-POT) Test for Flow Velocity Measurement in Groundwater Boreholes. .” Geoscientific Instrumentation Methods and Data Systems Discussions 5:161 – 175.
Reardon, E.J., Dance, J.T., & Lolcama, J.L. . 1983. “Field determination of cation exchange properties for calcareous sand.” Groundwater 21 (4):421 – 428.
Reclamation, US Bureau of. 1977. “Permeability Tests in Individual Drill Holes and Wells. .” US Dwpartment of Interior Publicatin Ground Water Manual, :317-342.
Richter, B.E., B.A.Jones, J.L. Ezzell, N.L. Porter, N. Avdalovic, C. Pohl. 1996. “Accelerated Solvent Extraction: A Technique for Sample Preparation.” Analytical Chemistry 68:1033-1039.
Robertson. P.K., Campanella, R.G., Gillespie, D., and Greig, J., . 1986. “Use of Piezometer Cone data. .” In-Situ’86 Use of In-situ testing in Geotechnical Engineering, GSP 6 , ASCE, Reston, VA, Specialty Publication:1263 – 1280.
Rossabi, J., B.D. Riha, C.A. Eddy-Dilek, A. Lustig, M. Carrabba, W.K. Hyde, and J., and Bello. 2000. “Field Tests of a DNAPL Characterization System Using Cone Penetrometer-based Raman Spectroscopy,.” Ground Water Monitoring and Remediaitn 20 (4):72-81.
Rushton K.R., J. Weller. 1985. “Response to Pumping of a Weathered Fractured Granite Aquifer. .” Journal Hydrology 80 (3-4):299-309.
Saiki, R. D.H Gelfand, S. Stoffel, S.J. Scharf, R. Higuchi, G. T. Horn, K. B. Mullis, H.A. Erlich. 1988. “Primer Directed Enzymatic Amplification of DNA with a Thermostable DNA Polymerase.” doi: 10.1126/science.2448875.
Sara, M.N. 1988. “Fractured-rock assessments. .” in: Site Assessment and Remediation Handbook, 2nd ed:323-426.
Schmidt, T.C., L. Zwank, M. Elsner, M. Berg, R. U. Meckenstock and S. B. Haderlein. 2004. “Compound-specific stable isotope analysis of organic contaminants in natural environments: a critical review of the state of the art, prospects, and future challenges”.” Analytical and Bioanalytical Chemistry 378:283-300.
Schulmeister, M.K., J.J. Butler, Jr., J.M. Healey, L. Zheng, D.A. Wysocki, and G.W. McCall. 2003. “Direct-Push Electrical Conductivity Logging for High-Resolution Hydrostratigraphic Characterization. .” Ground Water Monitoring and Remediation 23 (3):52-62.
Schulmeister, Marcia K., James J. Butler, Jr., Evan K. Franseen, Douglas A. Wysocki and James A. Doolittle, . 2004. “High-Resolution Stratigraphic Characterization of Unconsolidated Deposites Using Direct-Push Electrical Conductivity Logging: A FloodPlain-Margin Example.” SEPM Special Publication 80:67-78.
Schwartz, F. W. 1975. “Response of testing piezometers in fractured porous media.” Can Geotech J 12:408-412.
Schweisinger T, E.J. Svenson, L.C. Murdoch 2009. “Introduction to Hydromechanical Well Tests in Fractured Rock Aquifers.” Ground Water 47 (1):69-79.
Sei, K. . M. Inaba, R. Upadhye, D. Inoue, and M. Ike. 2009. “Development of DNA microarray for the evaluation of environmental functions.” Water Science and Technology 59 (1):97-107. doi: 10.2166/wst.2009.575.
Sellwood, S. M., J. M. Healey, S. Birk and J. J. Butler Jr. 2005. “Direct-Push Hydrostratigraphic Profiling: Coupling Electrical Logging and Slug Tests.” Ground Water 43 (1):19-29.
Sellwood, S.M., D. Hart, and J. Bahr. . 2015. “Evaluating The Use Of In-Well Heat Tracer Tests To Measure Borehole Flow Rates. .” Groundwater Monitoring & Remediation 35 (4):85 – 94.
Semprini, L., M. Cantaloub, S. Gottipati, O. Hopkins, and J. Istok. . 1998. “Radon-222 as a Tracer for Quantifying and Monitoring NAPL Remediation.” In Proceedings of the First International Conference on Remediation of Chlorinated and Recalcitrant Compounds, Non-Aqueous-Phase Liquids:137-142.
Service, National Ocean. 2017. “What is LIDAR?”.
SESTCP. 2016. “Direct Push Optical Screening Tool for High Resolutioin, Real-time Mapping of Chlorinated Solvent DNAPL Architecture.” ER-201121.
Shapiro, A.M. . 2002. “Cautions and Suggestions for Geochemical Sampling in Fractured Rock.” Ground Water Monitoring and Remediation 22 (3):151-164.
Shapiro A.M., P.A.Hsieh. 1998. “How good are estimates of transmissivity from slug tests in fractured rock?” Ground Water 36 (1):37-48.
Singhal B.B.S., and R.P. Gupta. 1999. “Applied Hydrogeology of Fractured Rocks.” Springer Netherlands. doi: 10.1007/978-94-015-9206-6.
Spence, M.L., S.F.,Thornton, S.H. Bottrell,K.H. Spence 2005. “Determination of Interstitial Water Chemistry and Porosity in Consolidated Aquifer Materials by Diffusion Equilibrium-exchange.” Environmental Science and Technology 39:1158-1166.
Svenson E, T. Schweisinger, L.C. Murdoch 2007. “Analysis of the Hydromechanical Behavior of a Flat-lying Fracture During a Slug Test.” Journal of hydrology 347 (1-2):35-47.
Swiger, N., and J. Boll. 2009. “Groundwater Sampling to Achieve Aquifer Representativeness.” Professional Geologist 46 (6):41-49.
Tanikawa, W., T. Shimamoto. 2009. “Comparison of Klinkenberg-corrected Gas Permeability and Water Permeability in Sedimentary Rocks.” International Journal of Rock Mechanics & Mining Sciences 46:229-238.
Taylor, K., Hess, J., Mazzella, A., & Hayworth, J. . 1990. “Comparisons of three methods to determine the vertical stratification of pore fluids.” Comparisons of three methods to determine the vertical stratification of pore fluids. 10 (1):91-95.
Tec, AQR Color. 2017. “Field-based analysis of Total Chlorinated Volatile Organic Halocarbons.”
Telford, W.M., L.P Geldart, R.E. Sheriff, and D.A. Keys, . 1990. “Applied Geophysics (2nd ed.).”
Theis, C.V. . 1935. “The relation between the lowering of the piezometric surface and the rate and duration of discharge of a well using groundwater storage.” American Geophysical Union 16:519-524.
Tiedeman, C.R., W. Barrash, C. Thrash, J. Patterson, and C. Johnson, . 2016. “Hydraulic tomography in fractured sedimentary rocks to estimate high-resolution 3-D distribution of hydraulic conductivity.” American Geophysical Union Fall Meeting.
Udell, K.S., G. Heron, R. Hderon. 2000. “Field Demonstration of Steam Enhanced Extraction at Alameda Point, California “.
USDOE. 1999. “Tanks Focus Area and Characterization, Monitoring, and Sensor technology Crosscutting Program.” Innovative Summary Report DOE/EM-0442.
USDOE. 2002. “Induced Fluorescence Sensors for Direct Push Systems,.” Innovative Technology Summary Report, OST/TMS ID 2237.
USEPA. 1989. “Ground-water monitoring in karst terranes: recommended protocols and implicit assumptions. .” EPA 600/X-89/050:79.
USEPA. 1994. “Temperature, Radioactive tracer, and Noise logging for injection Well integrity, .” EPA/600/R-94/124 R.M/ McKinley Cooperative Agreement no, CR-818926. July 1994.
USEPA. 1996. “Low flow (minimal draw- down) ground water sampling procedures.” USEPA/ORD EPA/ 540/S-95/504.
USEPA. 1997. “Field Validation of a Penetrometer-based fiber optic petroleum, oil, and lubricant (POL) Sensor.” EPA 600/R-97/055.
USEPA. 1998. “Application of dye-tracing techniques for determining solute-transport characteristics of ground water in karst terranes.”. EPA 904/6-88-001:103.
USEPA. 1999. “USEPA Contract Laboratory Program National Functional Guidelines for Organic Data Review.” (EPA540/R-99/008).
USEPA. 2000. “Innovations in Site Characterization: Geophysical Investigations at Hazardous Waste Sites.” (OSWER 5102G, EPA-542-R-00-003. ).
USEPA. 2002. “QTRACER2 Program for Tracer-Breakthrough Curve Analysis for Tracer Tests in Karstic Aquifers and Other Hydrologic Systems. .” EPA/600/R-02/001:179.
USEPA. 2004. “Site Characterization Technologies for DNAPL Investigations ” (EPA 542-R-04-017).
USEPA. 2008. “A systematic Approach for Evaluation of Capture Zones at Pump and treat Systems Final Project Reporet.” (EPA 600/R-08/003).
USEPA. 2011. “Environmental Cleanup Best Management Practices: Effective Use of the Project Life cycle Conceptual Site Model “.
USEPA. 2015. “OSWER technical guidance for assessing and mitigating the vapor intrusion pathway from subsurface vapor sources to indoor air.” 9200.2-154.
USEPA. 2016a. “Hole-to-Hole Logging.”
USEPA. 2016b. “VEry Low-Frequency (VLF) Method.”
USEPA. 2017. “Mass Spectrometery.”
USGS. 2017e. “Mineral Resources On-line Spatial Data.”
USGS. 2017f. “US Topo: Maps for America.”
Wagner, M., M. Horn, H. Daims. 2003. “Fluorescence in situ hybridisation for the identification and characterisation of prokaryotes.” Microbiology 6 (3):302-309. doi: http://dx.doi.org/10.1016/S1369-5274(03)00054-7.
Walsh, D.O., E. Grunewald, P. Turner, and I. Frid 2010. “A Slimhole and Microhole NMR Logging Tool.” Fasttimes 15 (3):67-72.
Warren JE, P.J. Root. 1962. “The Behavior of Naturally Fractured Reservoirs.” Fall Meeting of the Society of Petroleum Engineers, Los Angeles, CA, Oct 7-10.
Werner, D., and P. Hohener. 2003. “in Situ Methods to Measure Effective and Sorption-affected Gas-phase Diffusin Coefficients in soils.” Environmental Science and Technology 37 (11):2502 – 2510.
Wightman, W. E., Jalinoos, F., Sirles, P., and Hanna, K. . 2003. “Application of Geophysical Methods to Highway Related Problems. .” Federal Highway Administration, Central Federal Lands Highway Division, Lakewood, CO, FHWA-IF-04-021.
Wilson, J.F., Cobb, E.D., and Kilpatrick, F.A., . 1986. “Fluorometric Procedures for Dye Tracing.” USGS, Techniques of Water-Resource Investigations A12:34.
Wilson, John T., Randall R. Ross and Steven Acree, . 2005. “Using Direct-Push Tools to Map Hydrostratigraphy and Predict MTBE Plume Diving.” Ground WQater Monitoring and Remediation 25 (3):93-102.
Wise, M. B. and Guerin, M. R. 1997a. “Analytical Chemistry.” 69 (26A-32A).
Wise, M. B., Thompson, C. V., Merriweather, R. and Guerin, M. R., . 1997b. “Field Analytical Chemistry and Technology.” 1 (5):251-276.
Young, C. M., R. E. Jackson, M. Jin, J. T. Londergan, P. E. Mariner, G. A. Pope, F. J. Anderson, and T. Houck. 1999. “Characterization of a TCE DNAPL Zone in Alluvium by Partitioning Tracers.” Groundwater Monitoring and Remediation, Winter PP 84-94.
Zeigler, T. W. . 1976. “Determination of Rock Mass Permeability.” Vicksburg, U.S. Army Engineer Waterways Experiment Station. Prepared for Office, Chief of Engineers, U.S. Army.
Zenner, M.A. . 2009. “Near-Well Nonlinear Flow Identified by Various-Displacement Well Response Testing.” Ground Water 47 (4):526-535.
Zonge, K.; J. Wynn; S. Urquhart 2005. “Resistivity, Induced Polarization, and Complex Resistivity. .” Society of Exploarion Geophysics:265 – 300.

