TSVD analysis of Euler deconvolution to improve estimating magnetic source parameters: An example from the Åsele area, Sweden

Beiki, Majid

doi:10.1016/j.jappgeo.2013.01.002

Cited by 24 publications

(30 citation statements)

References 16 publications

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“…We use the first HD, the first VD and the normalized total horizontal derivative (TDX) (Cooper and Cowan 2006), to detect structural boundaries, and also the dip angle (β) (Beiki 2013) and the dimensionality index (D i ) (Beiki and Pedersen 2010), as structural parameters to evaluate the subsurface fault structure (Kusumoto 2015). These derivatives and structural parameters are calculated from a gravity gradient tensor.…”

Section: Derivatives and Structural Parameters Calculated From A Gravmentioning

confidence: 99%

Continuity, segmentation and faulting type of active fault zones of the 2016 Kumamoto earthquake inferred from analyses of a gravity gradient tensor

Matsumoto

Hiramatsu

Sawada

2016

Earth Planets Space

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We analyze Bouguer anomalies in/around the focal region of the 2016 Kumamoto earthquake to examine features, such as continuity, segmentation and faulting type, of the active fault zones related to the earthquake. Several derivatives and structural parameters calculated from a gravity gradient tensor are applied to highlight the features. First horizontal and vertical derivatives, as well as a normalized total horizontal derivative, characterize well the continuous subsurface fault structure along the Futagawa fault zone. On the other hand, the Hinagu fault zone is not clearly detected by these derivatives, especially in the case of the Takano-Shirahata segment, suggesting a difference of cumulative vertical displacement between the two fault zones. The normalized total horizontal derivative and the dimensionality index indicate a discontinuity of the subsurface structure of the Hinagu fault zone, that is, a segment boundary between the Takano-Shirahata and the Hinagu segments. The aftershock distribution does not extend beyond this segment boundary. In other words, this segment boundary controls the southern end of the rupture area of the foreshock. We also recognize normal fault structures dipping to the northwest in some areas of the fault zones from estimations of dip angles.

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Section: Derivatives and Structural Parameters Calculated From A Gravmentioning

confidence: 99%

Continuity, segmentation and faulting type of active fault zones of the 2016 Kumamoto earthquake inferred from analyses of a gravity gradient tensor

Matsumoto

Hiramatsu

Sawada

2016

Earth Planets Space

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“…In this paper, as a quick report, we show the dip distribution of the Oita-Kumamoto Tectonic Line estimated by the technique suggested by Beiki (2013) and Kusumoto (2015). With the exception of some geothermal areas, gravity gradiometry survey has not been conducted thus far in central Kyushu.…”

Section: Introductionmentioning

confidence: 94%

“…Because the maximum eigenvector (v 1 ) of the gradient tensor of the potential field indicates the direction of the causative body (Beiki and Pedersen 2010), Beiki (2013) suggested that the dip of the causative body can be estimated from the respective x, y, and z components (v 1x , v 1y , v 1z ) of the maximum eigenvector, v 1 , as follows:…”

Section: Dip Estimation Of Fault or Density Structure Boundarymentioning

confidence: 99%

“…Structural characteristics of subsurface structure can be evaluated by a dimensionality index. Since the index is <0.5 if the body causing a gravity anomaly is a 2-D structure, it is recommended that this calculation would be conducted under the condition of a dimensionality index of <0.5 (Beiki and Pedersen 2010;Beiki 2013). The dimensionality index (DI) is defined as (Perdersen and Rasmussen 1990) Here, I 1 and I 2 are invariants of the gravity gradient tensor.…”

Section: Dip Estimation Of Fault or Density Structure Boundarymentioning

confidence: 99%

“…In the recent years, techniques estimating the dip of a geological structure boundary by using the gradient tensor of the potential fields have been developed and have shown good results (e.g. Beiki 2013;Kusumoto 2015Itoh et al 2016). The dip of the structure plays an important role in numerical simulations that quantitatively examine tectonics (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Dip distribution of Oita–Kumamoto Tectonic Line located in central Kyushu, Japan, estimated by eigenvectors of gravity gradient tensor

Kusumoto

2016

Earth Planet Sp

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Abstract:We estimated the dip distribution of Oita-Kumamoto Tectonic Line located in central Kyushu, Japan, by using the dip of the maximum eigenvector of the gravity gradient tensor. A series of earthquakes in Kumamoto and Oita beginning on 14 April 2016 occurred along this tectonic line, the largest of which was M = 7.3. Because a gravity gradiometry survey has not been conducted in the study area, we calculated the gravity gradient tensor from the Bouguer gravity anomaly and employed it to the analysis. The general dip distribution of the Oita-Kumamoto Tectonic Line was found to be about 65° and tends to be higher towards its eastern end. In addition, we estimated the dip around the largest earthquake to be about 60° from the gravity gradient tensor. This result agrees with the dip of the earthquake source fault obtained by Global Navigation Satellite System data analysis.

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Sedimentary basin analysis using airborne gravity data: a case study from the Bohai Bay Basin, China

Liu

Jian-xin

et al. 2015

Int J Earth Sci (Geol Rundsch)

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TSVD analysis of Euler deconvolution to improve estimating magnetic source parameters: An example from the Åsele area, Sweden

Cited by 24 publications

References 16 publications

Continuity, segmentation and faulting type of active fault zones of the 2016 Kumamoto earthquake inferred from analyses of a gravity gradient tensor

Continuity, segmentation and faulting type of active fault zones of the 2016 Kumamoto earthquake inferred from analyses of a gravity gradient tensor

Dip distribution of Oita–Kumamoto Tectonic Line located in central Kyushu, Japan, estimated by eigenvectors of gravity gradient tensor

Sedimentary basin analysis using airborne gravity data: a case study from the Bohai Bay Basin, China

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