T162 Applications of High-Resolution Topographic Data to Geologic Hazards
Tuesday, 24 September 2019
8:00 AM - 12:00 PM
Room 224A, North Building
QUANTIFYING AND MODELING BLUFF EROSION ALONG WISCONSIN’S LAKE MICHIGAN COASTLINE
Paper number: T162-6
Program: Technical Sessions
Time: 9:20 AM – 9:35 AM
Authors
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Chelsea A. VolpanoUniversity of Wisconsin-Madison, Madison, WI
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Lucas ZoetUniversity of Wisconsin-Madison, Madison, WI
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J. Elmo Rawling IIIUniversity of Wisconsin-Madison, Madison, WI
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Michael CardiffUniversity of Wisconsin Madison, Madison, WI
Abstract
A subset of ‘feeder’ coastal bluffs are hypothesized to contribute an outsized proportion of sediment to the nearshore system due to differences in lithology and hydrogeologic conditions. To assess this hypothesis, we evaluate erosion rates at two bluffs with different lithologies and morphologies using a time series of high-resolution (10 cm) digital elevation models (DEMs) generated via drone-based structure-from-motion (SFM) photogrammetric techniques. To better understand the processes leading to upslope bluff erosion, we input the high-resolution DEMs along with sediment geotechnical properties and pore pressure models based on groundwater level observations into a three-dimensional moment balance slope stability model (Scoops3D). This yields regions of modeled instability, which are compared to observed regions of erosion to evaluate whether sliding (along with wave-caused toe erosion) adequately explains bluff erosion patterns.
We find that the site with a higher percentage of coarse-grained sediments is contributing a larger volume of sand to the nearshore system than the site comprised of more cohesive sediments. Additionally, erosion rates and modeled instability are highest in regions of the bluff proximal to active groundwater seeps. This indicates that the feedback between sediment characteristics and groundwater flow plays a role in controlling upslope bluff erosion processes. Drone-based SFM provides an inexpensive, repeatable method of assessing heterogeneous landscape evolution and improving predictions of bluff erosion rates.
Geological Society of America Abstracts with Programs. Vol. 51, No. 5
doi: 10.1130/abs/2019AM-339123
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