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Kouli_etal_2008_Groundwater modelling_BOOK.pdf - Pantelis ...

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332<br />

Nigel J. Cassidy<br />

(2000). In general, the models correlate well to the experimental data for simple materials<br />

(sands, rocks, low-clay content soils, etc) and, more significantly, have the capability of<br />

including the complex permittivity into their formulations. This is particularly important for<br />

detailed contaminant studies where the loss effects of the contaminating fluids results in<br />

subtle spectral changes associated with the loss or imaginary component of the permittivity<br />

(Cassidy, 2007).<br />

Of all the models, the Complex Refractive Index Model (CRIM) is one of the most<br />

popular for hydrological/contaminant based applications as it is simple to apply, robust for<br />

most materials and accurate over the GPR frequency range (Ajo-Franklin et al., 2004;<br />

Darayan et al., 1998; Endres and Knight, 1992). Strictly a one-dimensional, layered medium<br />

model, CRIM has been shown to be effective for medium-to-coarse grained, multi-phase<br />

mixtures involving simple granular materials (e.g., semi-spherical sand grains, etc) and<br />

moderate-to-low viscosity fluids. It has the advantage of being a volumetric model that<br />

requires only a knowledge of a material’s permittivities and their fractional volume<br />

percentages. The general CRIM formula is<br />

2<br />

ε<br />

⎞<br />

i ⎟<br />

⎠<br />

⎛<br />

= ⎜ N<br />

e<br />

ε ∑ f<br />

(14)<br />

mix i<br />

⎝ i=<br />

1<br />

where ε e mix is the bulk effective permittivity of the mixture, f i is the volume fraction of each i<br />

th component and ε i the permittivity of each i th component. Any number of phases can be<br />

included but, in most cases, a three-phase model is appropriate with ε w , ε g , and ε m representing<br />

the measured effective permittivities of water, gas (air) and the matrix respectively. As such,<br />

the CRIM formula becomes<br />

ε<br />

e<br />

mix<br />

[( φ S ε ) + (( −φ)<br />

ε ) + ( φ ( 1−<br />

S ) ε ) ] 2<br />

= (15)<br />

w<br />

w<br />

1<br />

m<br />

w g<br />

where φ is the porosity, S w the water or fluid saturation (i.e., percentage of pore space filled<br />

with fluid) ε e mix the effective permittivity of the mixture and ε w , ε g , ε m the permittivities of the<br />

water/fluid, gas and matrix phases respectively. For contaminated materials, an extra term can<br />

be added to the CRIM model that represents the contaminant fraction, which effectively<br />

becomes a component part of fluid phase. A representative example of CRIM’s use is shown<br />

in Figure 9 were the complex effective permittivity spectrum of contaminant saturated sand is<br />

compared to a groundwater saturated sand over the whole GPR frequency range (the<br />

contaminant is a hydrocarbon-based, light non-aqueous phase liquid or LNAPL).<br />

To develop the model, the complex permittivity of the matrix material (medium-to-coarse<br />

grained, aeolian quartz-rich sands), groundwater and the LNAPL contaminant was measured<br />

over the full frequency range using a vector network analyser technique (Cassidy, 2007). The<br />

porosity of the sands was determined using standard laboratory methods (~40% by volume)<br />

and a range of CRIM models produced for different contaminant and water saturations<br />

(Cassidy, 2007). In comparison to measured values (Figure 9), the mixing model performed<br />

well over the GPR frequency range of 10 MHz – 1GHz, with an excellent fit to the real<br />

component of the permittivity and a good fit to the imaginary component.

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