Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation

Here I develop a cross-correlation approach to estimating heights of shoreline features, and apply the new method to paleo-shorelines of Pleistocene Lake Bonneville. I calculate 1st-derivative (slope) and 2nd-derivative (curvature) profiles from Digital Elevation Model (DEM) or Global Positioning Sy...

Full description

Bibliographic Details
Main Author: Beard, Eric P.
Format: Others
Published: DigitalCommons@USU 2012
Subjects:
Online Access:https://digitalcommons.usu.edu/etd/1362
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2371&context=etd
id ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-2371
record_format oai_dc
spelling ndltd-UTAHS-oai-digitalcommons.usu.edu-etd-23712019-10-13T05:39:44Z Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation Beard, Eric P. Here I develop a cross-correlation approach to estimating heights of shoreline features, and apply the new method to paleo-shorelines of Pleistocene Lake Bonneville. I calculate 1st-derivative (slope) and 2nd-derivative (curvature) profiles from Digital Elevation Model (DEM) or Global Positioning System Real-Time Kinematic (GPS-RTK) measurements of elevation. I then cross-correlate pairs of profiles that have been shifted by various "lags," or shifts in elevation. The correlation coefficient (a normalized dot-product measure of similarity) is calculated as a function of lag within small (~40 m) windows centered at various elevations. The elevation and lag with the greatest correlation coefficient indicates the shoreline elevation at the reference profile and the change in shoreline height for the profile pair. I evaluate several different algorithms for deriving slope and curvature by examining closure of elevation lags across profile triples. I then model isostatic response to Lake Bonneville loading and unloading. I first model lakeshore uplift response to lake load removal assuming an elastic layer over an inviscid half-space. I obtain a best-fit comparison of predicted to observed shoreline heights for the Bonneville level with an elastic layer thickness, Te, of 25±2 km (at 95% confidence) when using only previously published shoreline elevation estimates. The best-fit for the Bonneville level when using these estimates plus 44 new estimates suggests a Te of 26±2 km. The best-fit model for the Provo level suggests Te of 17±3 km. For the Gilbert level, the response is insensitive to the assumed Te. I next model isostatic response to Bonneville loading and unloading assuming an elastic layer over a viscoelastic halfspace. This approach assumes constant parameters for the entire loading history, and yields a best-fit model with Te =70±5 km and viscosity ç=~2x1018 Pa s with 95% confidence ranging from ~1x1018 to ~5x1019 Pa s when only the previously published data are used. With the newer data added, the best-fit model has Te =58±2 km and ç ranging from ~1x1018 to ~1x1019 Pa s with 95% confidence. The 12-15 m weighted root-mean-square misfit to the best-fitting model is dominated by tectonic signals related to Basin-and-Range tectonics particularly seismic offsets of the Wasatch fault, and closely mimics the geological timescale pattern of basin-subsidence and range-uplift. 2012-12-01T08:00:00Z text application/pdf https://digitalcommons.usu.edu/etd/1362 https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2371&context=etd Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact Andrew Wesolek (andrew.wesolek@usu.edu). All Graduate Theses and Dissertations DigitalCommons@USU geophysics paleo shorlines geomorphology Geology
collection NDLTD
format Others
sources NDLTD
topic geophysics
paleo shorlines
geomorphology
Geology
spellingShingle geophysics
paleo shorlines
geomorphology
Geology
Beard, Eric P.
Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
description Here I develop a cross-correlation approach to estimating heights of shoreline features, and apply the new method to paleo-shorelines of Pleistocene Lake Bonneville. I calculate 1st-derivative (slope) and 2nd-derivative (curvature) profiles from Digital Elevation Model (DEM) or Global Positioning System Real-Time Kinematic (GPS-RTK) measurements of elevation. I then cross-correlate pairs of profiles that have been shifted by various "lags," or shifts in elevation. The correlation coefficient (a normalized dot-product measure of similarity) is calculated as a function of lag within small (~40 m) windows centered at various elevations. The elevation and lag with the greatest correlation coefficient indicates the shoreline elevation at the reference profile and the change in shoreline height for the profile pair. I evaluate several different algorithms for deriving slope and curvature by examining closure of elevation lags across profile triples. I then model isostatic response to Lake Bonneville loading and unloading. I first model lakeshore uplift response to lake load removal assuming an elastic layer over an inviscid half-space. I obtain a best-fit comparison of predicted to observed shoreline heights for the Bonneville level with an elastic layer thickness, Te, of 25±2 km (at 95% confidence) when using only previously published shoreline elevation estimates. The best-fit for the Bonneville level when using these estimates plus 44 new estimates suggests a Te of 26±2 km. The best-fit model for the Provo level suggests Te of 17±3 km. For the Gilbert level, the response is insensitive to the assumed Te. I next model isostatic response to Bonneville loading and unloading assuming an elastic layer over a viscoelastic halfspace. This approach assumes constant parameters for the entire loading history, and yields a best-fit model with Te =70±5 km and viscosity ç=~2x1018 Pa s with 95% confidence ranging from ~1x1018 to ~5x1019 Pa s when only the previously published data are used. With the newer data added, the best-fit model has Te =58±2 km and ç ranging from ~1x1018 to ~1x1019 Pa s with 95% confidence. The 12-15 m weighted root-mean-square misfit to the best-fitting model is dominated by tectonic signals related to Basin-and-Range tectonics particularly seismic offsets of the Wasatch fault, and closely mimics the geological timescale pattern of basin-subsidence and range-uplift.
author Beard, Eric P.
author_facet Beard, Eric P.
author_sort Beard, Eric P.
title Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
title_short Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
title_full Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
title_fullStr Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
title_full_unstemmed Modeling Lithospheric Rheology from Modern Measurements of Bonneville Shoreline Deformation
title_sort modeling lithospheric rheology from modern measurements of bonneville shoreline deformation
publisher DigitalCommons@USU
publishDate 2012
url https://digitalcommons.usu.edu/etd/1362
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=2371&context=etd
work_keys_str_mv AT beardericp modelinglithosphericrheologyfrommodernmeasurementsofbonnevilleshorelinedeformation
_version_ 1719265890233483264