1991
DOI: 10.1016/0003-682x(91)90018-a
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In-situ acoustical investigations of deep snow

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Cited by 13 publications
(16 citation statements)
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“…At each applied frequency, attenuation and phase shift were determined by comparison with the reference measurement. We then utilized the low-frequency approximation in Moore et al (1991, hereafter referred to as M91) to calculate permeability. In M91, estimates of tortuosity (τ ) and effective flow resistivity (σ pe ) were iteratively adjusted until optimal agreement between the measured and modeled value for the propagation constant (k b ) at a given frequency (f ) was obtained.…”
Section: Acoustic Permeability Determination -External Microphone Methodsmentioning
confidence: 99%
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“…At each applied frequency, attenuation and phase shift were determined by comparison with the reference measurement. We then utilized the low-frequency approximation in Moore et al (1991, hereafter referred to as M91) to calculate permeability. In M91, estimates of tortuosity (τ ) and effective flow resistivity (σ pe ) were iteratively adjusted until optimal agreement between the measured and modeled value for the propagation constant (k b ) at a given frequency (f ) was obtained.…”
Section: Acoustic Permeability Determination -External Microphone Methodsmentioning
confidence: 99%
“…The two methods that we present are less sophisticated than either the Albert or Kinar methods but have the advantage that no specialized equipment is required. Our design borrows elements from Ishida (1965), Buser (1986), and Moore et al (1991). …”
Section: Introductionmentioning
confidence: 99%
“…The error in porosity was found to vary between 1% and 8% except for the sample8_n, for this sample the error is 13.5%. During in-situ acoustical investigation of deep snow, Moore et al [16] reported an error of $15% in the porosity prediction for snow deposited at different sites. Umnova et al [19] had determined porosity by acoustic method for different materials such as lead shot of different diameters, porous aluminium and gravel.…”
Section: Inverse Characterization Of Geometrical Properties Of Snowmentioning
confidence: 98%
“…Ishida [1] found that two different snow samples having same porosity could have different measured flow resistivities. Therefore, the flow resistivity is not only determined by sample's porosity but also depends on its internal distribution of pore space and porosity [16].…”
Section: Inverse Characterization Of Geometrical Properties Of Snowmentioning
confidence: 99%
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