Supplemental Material: Postglacial slip distribution along the Teton normal fault (Wyoming, USA), derived from tectonically offset geomorphological features

Author(s):  
A. Hampel ◽  
et al.

Figure 5 is interactive. Place the mouse cursor over the names or color-filled circles of the scarp profiles in A to view the related scarp profiles and detailed location maps in B.<div><br></div><div>Figure 7B is interactive. Use the radio buttons in the legend to view the S<sub>z</sub> values from all profiles (gray curve through data points with highest vertical slip) or separately from the different groups (blue, yellow, and red curves, respectively).<br></div>

2021 ◽  
Author(s):  
A. Hampel ◽  
et al.

Figure 5 is interactive. Place the mouse cursor over the names or color-filled circles of the scarp profiles in A to view the related scarp profiles and detailed location maps in B.<div><br></div><div>Figure 7B is interactive. Use the radio buttons in the legend to view the S<sub>z</sub> values from all profiles (gray curve through data points with highest vertical slip) or separately from the different groups (blue, yellow, and red curves, respectively).<br></div>


2021 ◽  
Author(s):  
A. Hampel ◽  
et al.

Figure 5 is interactive. Place the mouse cursor over the names or color-filled circles of the scarp profiles in A to view the related scarp profiles and detailed location maps in B.<div><br></div><div>Figure 7B is interactive. Use the radio buttons in the legend to view the S<sub>z</sub> values from all profiles (gray curve through data points with highest vertical slip) or separately from the different groups (blue, yellow, and red curves, respectively).<br></div>


2021 ◽  
Author(s):  
A. Hampel ◽  
et al.

<div>Figures S1–S4 show the scarp profiles sorted by the type of the displaced landforms. Table S1 provides scarp height and/or vertical separation values determined by earlier studies. <br></div>


Geosphere ◽  
2021 ◽  
Author(s):  
Andrea Hampel ◽  
Ralf Hetzel ◽  
Maria-Sophie Erdmann

Along the eastern front of the Teton Range, northeastern Basin and Range province (Wyoming, USA), well-preserved fault scarps that formed across moraines, river terraces, and other geomorphological features indicate that multiple earthquakes ruptured the range-bounding Teton normal fault after the Last Glacial Maximum (LGM). Here we use high-resolution digital eleva­tion models derived from lidar data to determine the vertical slip distribution along strike of the Teton fault from 54 topographic profiles across tectonically offset geomorphological features along the entire Teton Range front. We find that offset LGM moraines and glacially striated surfaces show higher vertical displacements than younger fluvial terraces, which formed at valley exits upstream of LGM terminal moraines. Our results reveal that the tectonic off­sets preserved in the fault scarps are post-LGM in age and that the postglacial slip distribution along strike of the Teton fault is asymmetric with respect to the Teton Range center, with the maximum vertical displacements (27–23 m) being located north of Jenny Lake and along the southwestern shore of Jack­son Lake. As indicated by earlier three-dimensional numerical models, this asymmetric slip distribution results from postglacial unloading of the Teton fault, which experienced loading by the Yellowstone ice cap and valley glaciers in the Teton Range during the last glaciation.


2021 ◽  
Author(s):  
A. Hampel ◽  
et al.

<div>Figures S1–S4 show the scarp profiles sorted by the type of the displaced landforms. Table S1 provides scarp height and/or vertical separation values determined by earlier studies. <br></div>


2019 ◽  
Vol 11 (12) ◽  
pp. 1482 ◽  
Author(s):  
Daniele Cheloni ◽  
Nicola D’Agostino ◽  
Laura Scognamiglio ◽  
Elisa Tinti ◽  
Christian Bignami ◽  
...  

On 18 January 2017, the 2016–2017 central Italy seismic sequence reached the Campotosto area with four events with magnitude larger than 5 in three hours (major event MW 5.5). To study the slip behavior on the causative fault/faults we followed two different methodologies: (1) we use Interferometric Synthetic Aperture Radar (InSAR) interferograms (Sentinel-1 satellites) and Global Positioning System (GPS) coseismic displacements to constrain the fault geometry and the cumulative slip distribution; (2) we invert near-source strong-motion, high-sampling-rate GPS waveforms, and high-rate GPS-derived static offsets to retrieve the rupture history of the two largest events. The geodetic inversion shows that the earthquake sequence occurred along the southern segment of the SW-dipping Mts. Laga normal fault system with an average slip of about 40 cm and an estimated cumulative geodetic moment of 9.29 × 1017 Nm (equivalent to a MW~6). This latter estimate is larger than the cumulative seismic moment of all the events, with MW > 4 which occurred in the corresponding time interval, suggesting that a fraction (~35%) of the overall deformation imaged by InSAR and GPS may have been released aseismically. Geodetic and seismological data agree with the geological information pointing out the Campotosto fault segment as the causative structure of the main shocks. The position of the hypocenters supports the evidence of an up-dip and northwestward rupture directivity during the major shocks of the sequence for both static and kinematic inferred slip models. The activated two main slip patches are characterized by rise time and peak slip velocity in the ranges 0.7–1.1 s and 2.3–3.2 km/s, respectively, and by ~35–50 cm of slip mainly concentrated in the shallower northern part of causative fault. Our results show that shallow slip (depth < 5 km) is required by the geodetic and seismological observations and that the inferred slip distribution is complementary with respect to the previous April 2009 seismic sequence affecting the southern half of the Campotosto fault. The recent moderate strain-release episodes (multiple M~5–5.5 earthquakes) and the paleoseismological evidence of surface-rupturing events (M~6.5) suggests therefore a heterogeneous behavior of the Campotosto fault.


Author(s):  
Zenji Horita ◽  
Ryuzo Nishimachi ◽  
Takeshi Sano ◽  
Minoru Nemoto

Absorption correction is often required in quantitative x-ray microanalysis of thin specimens using the analytical electron microscope. For such correction, it is convenient to use the extrapolation method[l] because the thickness, density and mass absorption coefficient are not necessary in the method. The characteristic x-ray intensities measured for the analysis are only requirement for the absorption correction. However, to achieve extrapolation, it is imperative to obtain data points more than two at different thicknesses in the identical composition. Thus, the method encounters difficulty in analyzing a region equivalent to beam size or the specimen with uniform thickness. The purpose of this study is to modify the method so that extrapolation becomes feasible in such limited conditions. Applicability of the new form is examined by using a standard sample and then it is applied to quantification of phases in a Ni-Al-W ternary alloy.The earlier equation for the extrapolation method was formulated based on the facts that the magnitude of x-ray absorption increases with increasing thickness and that the intensity of a characteristic x-ray exhibiting negligible absorption in the specimen is used as a measure of thickness.


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