2010
DOI: 10.1016/j.jog.2009.08.002
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Changes in fault length distributions due to fault linkage

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Cited by 13 publications
(10 citation statements)
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References 34 publications
(56 reference statements)
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“…13; Table 1). These values are well within the range reported in the literature, where C ranges from 0.60 to 2.07 when estimated from all distributions, and from 0.67 to 2.07 when estimated from fault length versus fault rank plots (Cladouhos and Marrett, 1996;Yielding et al, 1996;Bonnet et al, 2001;Xu et al, 2010). However, at R 2 = 0.95, the percentages of the data that fit a power-law distribution are between 72% and 88% for each individual basin and 80% for all basins combined.…”
Section: Trace Length Distributions Of Intrabasin Faultssupporting
confidence: 88%
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“…13; Table 1). These values are well within the range reported in the literature, where C ranges from 0.60 to 2.07 when estimated from all distributions, and from 0.67 to 2.07 when estimated from fault length versus fault rank plots (Cladouhos and Marrett, 1996;Yielding et al, 1996;Bonnet et al, 2001;Xu et al, 2010). However, at R 2 = 0.95, the percentages of the data that fit a power-law distribution are between 72% and 88% for each individual basin and 80% for all basins combined.…”
Section: Trace Length Distributions Of Intrabasin Faultssupporting
confidence: 88%
“…There are a number of approaches for analyzing fault trace length data, and many indicate that such data exhibit a power-law distribution (e.g., Shaw and Gartner, 1986;Main et al, 1990;Davy, 1993;Cladouhos and Marrett, 1996;Nicol et al, 1996;Yielding et al, 1996;Cowie, 1998;Bonnet et al, 2001;Xu et al, 2010). A common approach is to plot fault length versus fault rank on a log-log plot and estimate the power-law exponent C using linear regression of an equation in the form:…”
Section: Aeromagnetic Data and Analysis Of Basin-scale Fault Length Datamentioning
confidence: 99%
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“…To address these questions, we use displacement data to infer the fault growth geometries (e.g., Cartwright & Mansfield, ; Ferrill & Morris, ; Muraoka & Kamata, ; Nicol et al, ; Xu et al, ). Displacement plots are applied to investigate fault nucleation, propagation, segmentation, and linkage in the study area (e.g., Baudon & Cartwright, ; Cartwright & Mansfield, ; Mattos et al, ; Mohammedyasin et al, ; Mouslopoulou et al, ; Omosanya & Alves, ; Omosanya et al, ; Peacock & Sanderson, ; Pochat et al, ; Thorsen, ; Walsh & Watterson, ).…”
Section: Introductionmentioning
confidence: 99%
“…Structural geologists often collect displacement data in order to unravel the mechanism and kinematic of fault growth (Muraoka and Kamata, 1983;Nicol et al, 1996;Cartwright and Mansfield, 1998;Ferrill and Morris, 2001;Xu et al, 2010). Displacement plots such as displacement vs. distance (t-x) (Cartwright and Mansfield, 1998;Baudon and Cartwright, 2008a), displacement vs. depth (t-z) Peacock and Sanderson, 1991;Mouslopoulou et al, 2007), expansion and growth indices (Pochat et al, 2009;Thorsen, 1963), and cumulative throw vs. age (Omosanya and Alves, 2014) can provide information on fault nucleation, propagation, segmentation and linkage.…”
Section: Introductionmentioning
confidence: 99%