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Nature-based climate resilience through shoreline transformation: Captain Sinclair’s Recreational Area, VA, USA (2023-2024)
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| Type: | Resource | |
| Storage: | The size of this resource is 1.5 GB | |
| Created: | Jan 22, 2025 at 7:25 p.m. | |
| Last updated: | Jan 30, 2025 at 8:05 p.m. | |
| Published date: | Jan 30, 2025 at 8:05 p.m. | |
| DOI: | 10.4211/hs.060dd0ad11834a2793494c6914eaecf1 | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Feature Content Multidimensional Content |
| Sharing Status: | Published |
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| Views: | 65 |
| Downloads: | 10 |
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Abstract
Global climate change has led to many adverse impacts including changing weather patterns and an increase in the severity and frequency of extreme weather events. Traditional hard engineering solutions for coastal protection, such as seawalls and bulkheads, are becoming inadequate as they do not have the capacity to keep pace with the accelerating impacts of climate change. In response, there is growing interest in Natural and Nature-Based Features (NNBF), which offer innovative and adaptive approaches to coastal protection. NNBFs, such as salt marshes or living shorelines, have demonstrated potential for mitigating wave energy, reducing flood risks, and enhancing coastal resilience. However, the effectiveness of these features can vary based on their physical attributes and the specific environmental conditions in which they are implemented. The inconsistent performance of NNBFs has posed challenges for their widespread adoption, partly due to uncertainties in their efficacy and barriers in public policy.
This research focuses on evaluating the performance of NNBFs in attenuating waves through the natural environment, highlighting the benefits of hybrid NNBFs. Our findings demonstrate that, when combined, different NNBFs play complementary roles in wave attenuation. Thus, enhancing shoreline resilience and reducing marsh loss under dynamic water level conditions. These results highlight the importance of implementing diverse NNBF systems to address the dynamic nature of coastal conditions. By quantifying the performance of these features, this study offers valuable insights into designing and optimizing shoreline protection strategies that promote climate resiliency.
Here, a Jupyter Notebook is provided to a) Access the data; b) Generate plots; and c) Perform data analysis.
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Content
readme.txt
This dataset contains two types of data: Shapefile – Provides the locations of our sensors. NetCDF - Wave Data Time Series. The Jupyter Notebook (notebook_CRSA.ipynb) includes the necessary commands to: Access the data Generate plots Perform data analysis For users unfamiliar with Python coding, an HTML version of the notebook is also provided for easy viewing without requiring a coding environment. To ensure the notebook functions correctly, please store the folders "GPS" and "Waves" in the same directory.
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| Virginia Sea Grant, Virginia Institute of Marine Science | Shoreline Transformation Adaptation: Forward Looking Nature-Based Climate Resilience | NA180AR4170083, Project R/72155Y and 77877B |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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