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P. Schmoldt, PhD - MTNet - DIAS

P. Schmoldt, PhD - MTNet - DIAS

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Method Applicability<br />

Swift angle 2D<br />

Groom and Bailey decomposition 3D/2D<br />

Bahr parameters 3D ⋆<br />

Weaver et al. invariants 3D ⋆<br />

Caldwell et al. phase tensor 3D ⋆<br />

4.4. Removal of distortion effects<br />

Tab. 4.6.: Comparison of commonly used analysing tools for MT distortion and their applicability depending on the dimensionality<br />

of the subsurface. The Swift angle determination [Swift, 1967] can only be used in a 2D environment and fails for settings of higher<br />

dimensionality while the Groom and Bailey decomposition [Groom and Bailey, 1989] is designed to retract the 2D regional structure<br />

in the presence of small-scale 3D structures but cannot practical in a fully 3D situation. The methods by Bahr [1988], Weaver et al.<br />

[2000], and Caldwell et al. [2004] are able to identify the dimensionality of the MT tensor for 1D, 2D, 3D, and mixed mode settings,<br />

but have the drawback that no direct conclusion about the values of resistivity and phase for the regional structures can be drawn.<br />

4.4.6. Conclusion<br />

Today, various attempts have been published that aim to cope with the effects of distortion<br />

onto MT data, among which the methods by Groom and Bailey [1989], Weaver et al.<br />

[2000], and Caldwell et al. [2004] proofed most applicable (Tab. 4.6). It is not recommended<br />

to use the approaches by Swift [1967] and Bahr [1988] anymore as they fail for<br />

certain subsurface characteristics and have been succeeded by the WAL method [Weaver<br />

et al., 2000] and the phase tensor method [Caldwell et al., 2004]. The latter two are limited<br />

to an analysis of the subsurface dimensionality and solely give resistivity and phase<br />

values for an approximated 1D scenario (WAL); hence, these approaches can only be used<br />

as an indicator for subsequent methods that provide quantitative results for the different<br />

regimes. The technique by Groom and Bailey [1989], on the other hand, evaluates the fit<br />

for a proposed strike direction and provides quantitative results but fails for cases where<br />

the subsurface is highly 3D and no simplification like a 3D/2D scenario (Sec. 4.2) can be<br />

identified.<br />

For a typical MT fieldwork, where data are collected along a profile, a combination of<br />

the methods by Weaver et al. [2000], Caldwell et al. [2004], and Groom and Bailey [1989]<br />

can be most effective. An analysis of the subsurface dimensionality with the WAL and<br />

Phase tensor techniques can specify the region suitable for Groom-Bailey decomposition<br />

or help to weigh the contribution from stations and frequency ranges during the estimation<br />

of Groom-Bailey decomposition.<br />

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