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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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) |
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The University of Maine: DigitalCommons@UMaine |
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ftmaineuniv |
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topic |
geomorphology glaciology glacial erosion fracture density glacial geology Earth Sciences |
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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 |
_version_ |
1766008485373280256 |