Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models

Understanding glacial erosion rates is important because debris eroded by a glacier can impact glacier flow speeds, protect tidewater glaciers from rapid retreat, and impact the productivity of marine ecosystems. Traditionally, glacial erosion models rely on a rock’s inherent “erodibility”, typicall...

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Main Author: Rand, Colby
Format: Text
Language:unknown
Published: DigitalCommons@UMaine 2020
Subjects:
Online Access:https://digitalcommons.library.umaine.edu/honors/610
https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1609&context=honors
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spelling ftmaineuniv:oai:digitalcommons.library.umaine.edu:honors-1609 2023-05-15T16:20:33+02:00 Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models Rand, Colby 2020-05-01T07:00:00Z application/pdf https://digitalcommons.library.umaine.edu/honors/610 https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1609&context=honors unknown DigitalCommons@UMaine https://digitalcommons.library.umaine.edu/honors/610 https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1609&context=honors Honors College geomorphology glaciology glacial erosion fracture density glacial geology Earth Sciences text 2020 ftmaineuniv 2023-03-12T20:10:44Z Understanding glacial erosion rates is important because debris eroded by a glacier can impact glacier flow speeds, protect tidewater glaciers from rapid retreat, and impact the productivity of marine ecosystems. Traditionally, glacial erosion models rely on a rock’s inherent “erodibility”, typically presented as a constant, to predict how much debris will be eroded by the glacier. However, the erodibility of bedrock varies spatially as a function of its fracture density, fracture orientation, and lithology, so the notion of applying a constant erodibility term to a whole field site does not fully capture the actual bedrock dynamics of the system. In this work, I present a novel approach to quantify bedrock fracture density and orientation through the generation of a 3D Structure from Motion (SfM) model and the application of a series of machine learning algorithms. To test this approach, I quantified the fracture density of a glacial bedrock nunatak in the Juneau Icefield of Southeast (SE) Alaska. The spatial variation in fracture density across this nunatak was found to be highly variable. Bedrock in the SE region of this field site showed a relatively high fracture density (>20% fractured), whereas the central region of this field site showed a relatively low fracture density (0-10% fractured). Fracture orientations were shown to have a bimodal distribution, with the most common fracture orientations being approximately 0 and ± 90 degrees. This fracture density methodology and associated results can applied across the Juneau Icefield and other glacier systems to improve glacial bedrock erosion models. Text glacier glaciers Tidewater Alaska The University of Maine: DigitalCommons@UMaine Juneau Icefield ENVELOPE(-134.254,-134.254,58.916,58.916)
institution Open Polar
collection The University of Maine: DigitalCommons@UMaine
op_collection_id ftmaineuniv
language unknown
topic geomorphology
glaciology
glacial erosion
fracture density
glacial geology
Earth Sciences
spellingShingle geomorphology
glaciology
glacial erosion
fracture density
glacial geology
Earth Sciences
Rand, Colby
Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
topic_facet geomorphology
glaciology
glacial erosion
fracture density
glacial geology
Earth Sciences
description Understanding glacial erosion rates is important because debris eroded by a glacier can impact glacier flow speeds, protect tidewater glaciers from rapid retreat, and impact the productivity of marine ecosystems. Traditionally, glacial erosion models rely on a rock’s inherent “erodibility”, typically presented as a constant, to predict how much debris will be eroded by the glacier. However, the erodibility of bedrock varies spatially as a function of its fracture density, fracture orientation, and lithology, so the notion of applying a constant erodibility term to a whole field site does not fully capture the actual bedrock dynamics of the system. In this work, I present a novel approach to quantify bedrock fracture density and orientation through the generation of a 3D Structure from Motion (SfM) model and the application of a series of machine learning algorithms. To test this approach, I quantified the fracture density of a glacial bedrock nunatak in the Juneau Icefield of Southeast (SE) Alaska. The spatial variation in fracture density across this nunatak was found to be highly variable. Bedrock in the SE region of this field site showed a relatively high fracture density (>20% fractured), whereas the central region of this field site showed a relatively low fracture density (0-10% fractured). Fracture orientations were shown to have a bimodal distribution, with the most common fracture orientations being approximately 0 and ± 90 degrees. This fracture density methodology and associated results can applied across the Juneau Icefield and other glacier systems to improve glacial bedrock erosion models.
format Text
author Rand, Colby
author_facet Rand, Colby
author_sort Rand, Colby
title Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
title_short Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
title_full Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
title_fullStr Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
title_full_unstemmed Estimating Bedrock Fracture Density of the Juneau Icefield, AK, to Inform Glacial Erosion Models
title_sort estimating bedrock fracture density of the juneau icefield, ak, to inform glacial erosion models
publisher DigitalCommons@UMaine
publishDate 2020
url https://digitalcommons.library.umaine.edu/honors/610
https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1609&context=honors
long_lat ENVELOPE(-134.254,-134.254,58.916,58.916)
geographic Juneau Icefield
geographic_facet Juneau Icefield
genre glacier
glaciers
Tidewater
Alaska
genre_facet glacier
glaciers
Tidewater
Alaska
op_source Honors College
op_relation https://digitalcommons.library.umaine.edu/honors/610
https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1609&context=honors
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