High resolution 3D laser scanner measurements of a strike‐slip fault quantify its morphological anisotropy at all scales
By François Renard, Christophe Voisin, D. Marsan, J. Schmittbuhl. 2006
203 citations recorded by the source corpus.
The surface roughness of a recently exhumed strike‐slip fault plane has been measured by three independent 3D portable laser scanners. Digital elevation models of several fault surface areas, from 1 m2 to 600 m2, have been measured at a resolution ranging from 5 mm to 80 mm. Out of plane height fluctuations are described by non‐Gaussian distribution with exponential long range tails. Statistical scaling analyses show that the striated fault surface exhibits self‐affine scaling invariance with a small but significant directional morphological anisotropy that can be described by two scaling roughness exponents, H1 = 0.7 in the direction of slip and H2 = 0.8 perpendicular to the direction of slip.
Subfields: Geophysics
View Paper: https://www.semanticscholar.org/paper/6a001a674b19211ca4bbbcd134100a4884540893
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In Geophysics
Citations in the corpus
- Rupture dynamics and ground motion from 3‐D rough‐fault simulations (2013, background): “…and segmentation [e.g., Ben-Zion and Sammis, 2003; Bryant, 2005] to smaller-scale features such as topographic variations on the fault slip surfaces [e.g., Power and Tullis, 1991; Renard et al., 2006; Sagy et al., 2007; Sagy and Brodsky, 2009; Candela et al., 2009, 2012; Bistacchi et al., 2011].”
- Quantifying near‐field and off‐fault deformation patterns of the 1992 Mw 7.3 Landers earthquake (2015, background): “…slip variability observed here is a manifestation of fault roughness, it is not surprising to find that slip is fractal, given that many natural fault surfaces also display self-affine fractal roughness [e.g., Power and Tullis, 1995; Lee and Bruhn, 1996; Renard et al., 2006; Candela et al., 2009].”
- Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z) (2013, background): “It is behind the scope of this study to present a complete description of the surface roughness characteristics (including any form of anisotropy, (e.g., Butler et al., 2001; Aberle and Nikora, 2006; Renard et al., 2006; Hodge, et al., 2009b).”
- Characterization of Fault Roughness at Various Scales: Implications of Three-Dimensional High Resolution Topography Measurements (2008, methodology): “This fault was analyzed in RENARD et al. (2006) and we present here new data of large- and small-scale slip surfaces (Fig.”
- 3D Terrestrial LiDAR data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology (2011, background): “These include the detailed analysis of geometric properties of natural surfaces over a wide range of scales (from a few cm to km), such as 3D stratigraphic reconstruction and outcrop analysis [22, 35], grain size distribution in rivers [17, 16, 15], dune fields[31, 30], vegetation hydraulic roughnes”