Dimensionality and directionality analysis of magnetotelluric data by using different techniques: A case study from northern part of Saurashtra region, India

dc.contributor.authorVijaya Kumar, P.V.
dc.contributor.authorSubba Rao, P.B.V.
dc.contributor.authorSingh, A.K.
dc.contributor.authorKumar, Amit
dc.contributor.authorRao, P. Rama
dc.date.accessioned2022-07-27T03:49:35Z
dc.date.available2022-07-27T03:49:35Z
dc.date.issued2021
dc.description.abstractMagnetotelluric (MT) data has been collected along 32 stations along E–W proBle in northern part and eight LMT (long period MT) stations in north-central part of Saurashtra region. Dimensionality analysis is carried out prior to MT modelling for obtaining the subsurface dimension as well as the direction of the underlying substructures. To estimate the subsurface dimensionality from MT data, different techniques Swift skew, Bhar’s skew, normalized weights, phase tensor (PT) analysis and Wall’s rotational invariant approach have been applied. These results suggest 1D structure for lower periods (0.01–1 s) and 3D structure for higher periods (1–10000 s) along two different proBles indicating that the study area is highly heterogeneous. Regional strike has been estimated through phase tensor (PT) and Groom–Bailey (GB) techniques suggests N40 E regional strike direction that correlates well with the Delhi–Aravalli tectonic trend. 2D modelling of MT/LMT data sets brings out different resistivity and conductivity blocks. Basaltic magmatic intrusion and its recrystallization have resulted in resistivity blocks with conductivity anomalies (trapped Cuids) in between them. It has been reCected as 3D structures at higher periods. Different sedimentary basins at shallow depth are observed as 1D structure in dimensionality analysis.en_US
dc.identifier.citationJournal of Earth System Science volume 130, Article number: 102 (2021) , https://doi.org/10.1007/s12040-021-01596-0en_US
dc.identifier.urihttp://repository.iigm.res.in/handle/123456798/201
dc.language.isoenen_US
dc.subjectMagnetotellurics, Dimensionality analysis, Normalized weight index, Phase tensor analysis, Modellingen_US
dc.titleDimensionality and directionality analysis of magnetotelluric data by using different techniques: A case study from northern part of Saurashtra region, Indiaen_US
dc.typeArticleen_US

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