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Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island./
作者:	Itzkin, Michael.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	124 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
Contained By:	Dissertations Abstracts International83-03B.
標題:	Geomorphology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28548590
ISBN:	9798538116867

Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island.
Itzkin, Michael.

Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 124 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: B.

Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.

This item must not be sold to any third party vendors.

The coupling of natural and human processes on developed barrier islands leads to altered morphological behavior with long-term implications for barrier survival. This dissertation uses a combination of remote sensing data, field observations, and numerical modeling to analyze how human processes (i.e., sand fencing, nourishment, etc.) have impacted the morphological evolution of Bogue Banks, North Carolina (BB) over a 20+ year period (1997-2020). In Chapter 1, I construct a 20-year long dataset of LiDAR-derived morphometrics from BB that includes the locations of sand fences and fenced dune morphology. I used this dataset to analyze (1) how the formation of a fenced dune impacts natural dune evolution and (2) how the natural dunes in fenced versus non-fenced areas differ. I demonstrate that the formation of a fenced dune blocks sediment transport to the natural dune which inhibits its growth and that dunes in fenced areas are lower and wider than dunes in non-fenced areas. In Chapter 2, I use the XBeach morphodynamic model to explore the protective services offered by dunes of varying height and width (aspect ratio) during storms of varying durations and intensities. I show that while a lower dune is more susceptible to overwash than a tall dune, a wide dune offers greater protection from volume loss in the collision regime by allowing for greater wave dissipation and reduced avalanching. I also find that the protection offered by a wide beach is greater than the protection offered by the height and width of the dune. In Chapter 3, I pair a coupled dune-beach model (Windsurf) with a series of machine learning models (neural networks, genetic algorithms) to develop a workflow for hindcasting dune and beach evolution on an unmanaged and managed (fenced) profile from BB (2016-2017). I then use a neural network model to forecast the hindcast output for three years (2020). I show that (1) Windsurf reproduces observed dune and beach evolution on BB and (2) pairing numerical and data-driven models achieves greater hindcast accuracy than manual calibration and allows for the production of accurate inter-annual scale forecasts.

ISBN: 9798538116867Subjects--Topical Terms:

542703
Geomorphology.
Subjects--Index Terms:

Aeolis

Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island.
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245 1 0 $a Anthropogenic Influences on Coastal Dune Dynamics: Exploring Past and Future Effects of Management Interventions on a Developed Barrier Island.
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300 $a 124 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
500 $a Advisor: Moore, Laura J.
502 $a Thesis (Ph.D.)--The University of North Carolina at Chapel Hill, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The coupling of natural and human processes on developed barrier islands leads to altered morphological behavior with long-term implications for barrier survival. This dissertation uses a combination of remote sensing data, field observations, and numerical modeling to analyze how human processes (i.e., sand fencing, nourishment, etc.) have impacted the morphological evolution of Bogue Banks, North Carolina (BB) over a 20+ year period (1997-2020). In Chapter 1, I construct a 20-year long dataset of LiDAR-derived morphometrics from BB that includes the locations of sand fences and fenced dune morphology. I used this dataset to analyze (1) how the formation of a fenced dune impacts natural dune evolution and (2) how the natural dunes in fenced versus non-fenced areas differ. I demonstrate that the formation of a fenced dune blocks sediment transport to the natural dune which inhibits its growth and that dunes in fenced areas are lower and wider than dunes in non-fenced areas. In Chapter 2, I use the XBeach morphodynamic model to explore the protective services offered by dunes of varying height and width (aspect ratio) during storms of varying durations and intensities. I show that while a lower dune is more susceptible to overwash than a tall dune, a wide dune offers greater protection from volume loss in the collision regime by allowing for greater wave dissipation and reduced avalanching. I also find that the protection offered by a wide beach is greater than the protection offered by the height and width of the dune. In Chapter 3, I pair a coupled dune-beach model (Windsurf) with a series of machine learning models (neural networks, genetic algorithms) to develop a workflow for hindcasting dune and beach evolution on an unmanaged and managed (fenced) profile from BB (2016-2017). I then use a neural network model to forecast the hindcast output for three years (2020). I show that (1) Windsurf reproduces observed dune and beach evolution on BB and (2) pairing numerical and data-driven models achieves greater hindcast accuracy than manual calibration and allows for the production of accurate inter-annual scale forecasts.
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653 $a Coastal Dune Model
653 $a Coastal Engineering
653 $a Dune
653 $a XBeach
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690 $a 0415
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710 2 $a The University of North Carolina at Chapel Hill. $b Geological Sciences. $3 1035690
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793 $a English
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