2007
DOI: 10.3133/ofr20071218
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Preliminary Isostatic Gravity Map of Joshua Tree National Park and Vicinity, Southern California

Abstract: Gravity anomaly contours. Contour interval, 2 mGal. Hachures indicate gravity low. Contours were computergenerated based on a 300-m grid. Although the data have been edited, caution should be exercised when interpreting anomalies controlled by only a single gravity station.

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Cited by 7 publications
(7 citation statements)
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“…Methods include compilation of previously published and unpublished geologic maps, mapping and observations of fault-scarp morphol-Dorsey and Langenheim | Tilting of the Salton block, southern California GEOSPHERE | Volume 11 | Number 5 ogy, measurement of fault-zone fabrics, quantitative geomorphic analysis in ArcMap (http:// www .esri .com /software /arcgis) using 30 m digital elevation models (DEMs), and measurement of alluvial fan and corresponding catchment areas on DEMs and satellite imagery. Gravity data (Biehler et al, 1992;Langenheim et al, 2005Langenheim et al, , 2007Martin et al, 1997;Langenheim, 2008, personal data) were used to examine basin geometry using two different methods. Depth of subsurface basins throughout the region of Figure 1 was modeled through 3-D inversion of gravity data using the method of Jachens and Moring (1990) and parameters in Langenheim et al (2005;see following).…”
Section: Methodsmentioning
confidence: 99%
“…Methods include compilation of previously published and unpublished geologic maps, mapping and observations of fault-scarp morphol-Dorsey and Langenheim | Tilting of the Salton block, southern California GEOSPHERE | Volume 11 | Number 5 ogy, measurement of fault-zone fabrics, quantitative geomorphic analysis in ArcMap (http:// www .esri .com /software /arcgis) using 30 m digital elevation models (DEMs), and measurement of alluvial fan and corresponding catchment areas on DEMs and satellite imagery. Gravity data (Biehler et al, 1992;Langenheim et al, 2005Langenheim et al, , 2007Martin et al, 1997;Langenheim, 2008, personal data) were used to examine basin geometry using two different methods. Depth of subsurface basins throughout the region of Figure 1 was modeled through 3-D inversion of gravity data using the method of Jachens and Moring (1990) and parameters in Langenheim et al (2005;see following).…”
Section: Methodsmentioning
confidence: 99%
“…Gravity data reveal northeastward thickening of sediments in the Coachella Valley, suggesting increased subsidence to the northeast (Langenheim et al, 2005;Langenheim et al, 2007). Exposure of Pliocene marine deposits at high elevation in the southern Santa Rosa Mountains requires post-Pliocene uplift of at least ~600 m (Matti et al, 2002).…”
Section: Deformation In the Coachella Valleymentioning
confidence: 99%
“…Steep range front morphology, prominent fault facets, large landslides on the faulted western fl ank of the Santa Rosa Mountains, and the presence of large alluvial fans on the eastern fl ank record signifi cant asymmetric tilting to the northeast . An abrupt subvertical discontinuity in the thickness of subsurface sediment at the San Andreas fault, from several kilometers on the southwest side to <1 km on the northeast side (Langenheim et al, 2007;Fuis et al, 2012) implies relative subsidence on the southwest side of the Coachella Valley segment of the San Andreas fault.…”
Section: Deformation In the Coachella Valleymentioning
confidence: 99%
“…This class of uncertainty may be appreciable for regions characterized by diffuse networks of faults, such as in the ETR and ECSZ regions. Therefore, to assess the effects of fault‐block geometries on our slip‐rate estimates we investigate four different fault‐block scenarios (Figures 7, 8, 9, and 10) that incorporate the major faults [ Jennings , 1994] in the region, as well as faults inferred from interpretation of a published isostatic residual gravity map [ Langenheim et al , 2007] and the pattern of instrumentally recorded seismicity [ Southern California Earthquake Data Center , 2010]. Below we will treat these different models as working hypotheses, exploring their implications for fault slip rate in light of the geodetic velocity field.…”
Section: Fault Slip Estimationmentioning
confidence: 99%