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dc.contributor.advisorBuynevich, Ilya V. (Ilya Val)
dc.creatorBentley, Andrew Phillip Keller
dc.date.accessioned2020-10-20T13:33:33Z
dc.date.available2020-10-20T13:33:33Z
dc.date.issued2013
dc.identifier.other870266772
dc.identifier.urihttp://hdl.handle.net/20.500.12613/777
dc.description.abstractAeolian landforms are classified based on their plan morphology, which is a function of sediment transport volume, wind direction, and vegetation. In the case of compound landforms or two-dimensional exposures (outcrops), there is insufficient information for discriminating between 3D morphotypes (e.g., barchans vs. parabolic dunes). To characterize the dip-section architecture of near end-member morphologies (interacting barchans and sparsely vegetated parabolics), a series of axial transects were selected from >25 km of high-resolution (500 MHz) ground-penetrating radar (GPR) data from the gypsum dune field of White Sands National Monument, New Mexico. For dunes of comparable size (6-7 m high), a series of attributes were analyzed for unsaturated portions along the thickest (axial) radargram sections. Given the limitations in vertical resolution (7 cm in dry sand), the average measureable slipface thickness in barchans ranged between 10-22 cm, whereas parabolic slipfaces were thinner at 10-14 cm. High-amplitude diffractions produced by buried vegetation, semi-lithified pedestals, and bioturbation structures were rare within barchans (point-source diffraction density = 0.03/m2; hyperbolics per 1-m-wide cross-sectional area of the image), in contrast to a point-source density of 0.07/m2 in parabolics. An aeolian internal complexity threshold (ϖ) is proposed, which incorporates standardized scores of slipface thickness, point-source diffraction density, and continuity of major bounding surfaces at mesoscale range determined through semivariogram analysis. For the study region, these variables were sufficient for discriminating barchans (ϖ = -2.39 to -0.25; ϖ ̅b= -1.65) from parabolic (ϖ = 0.13 to 2.87; ϖ ̅p= 1.65) dunes. This threshold has the potential for differentiating dune morphotypes in areas where surface morphology is masked and for identifying compound landforms (e.g., a re-activated parabolic dune converted into a barchan in situ). Ultimately, characterization of bedding complexity in ancient aeolian sequences will provide useful information about key paleoenvironmental variables.
dc.format.extent106 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectGeomorphology
dc.subjectGeophysics
dc.subjectStatistics
dc.subjectDunes
dc.subjectGeology
dc.subjectGeoradar
dc.subjectGeostatistics
dc.subjectGpr
dc.subjectWhite Sands
dc.titleCharacterizing Subsurface Complexity of Aeolian Morphotypes with Georadar
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberTerry, Dennis O.
dc.contributor.committeememberNyquist, Jonathan
dc.description.departmentGeology
dc.relation.doihttp://dx.doi.org/10.34944/dspace/759
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreeM.S.
refterms.dateFOA2020-10-20T13:33:33Z


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