Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA

A source–pathway-receptor method is used to assess the risk of the coastal community of Charlestown, RI, USA, to the 100-year storm, including effects of sea level rise (SLR) and shoreline/dune erosion. The 100-year storm is simulated using a chain of stochastic and physics-based models combined w...

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Published in:Natural Hazards
Main Authors: Grilli, Annette, Spaulding, Malcolm L., Oakley, Bryan A., Damon, Chris
Format: Text
Language:unknown
Published: DigitalCommons@URI 2017
Subjects:
Online Access:https://digitalcommons.uri.edu/oce_facpubs/76
https://doi.org/10.1007/s11069-017-2871-x
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spelling ftunivrhodeislan:oai:digitalcommons.uri.edu:oce_facpubs-1075 2024-09-15T18:23:43+00:00 Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA Grilli, Annette Spaulding, Malcolm L. Oakley, Bryan A. Damon, Chris 2017-08-01T07:00:00Z https://digitalcommons.uri.edu/oce_facpubs/76 https://doi.org/10.1007/s11069-017-2871-x unknown DigitalCommons@URI https://digitalcommons.uri.edu/oce_facpubs/76 doi:10.1007/s11069-017-2871-x https://doi.org/10.1007/s11069-017-2871-x Ocean Engineering Faculty Publications Coastal erosion Damage to coastal structures Dune erosion Flooding Inundation Sea level rise Wave text 2017 ftunivrhodeislan https://doi.org/10.1007/s11069-017-2871-x 2024-08-21T00:09:34Z A source–pathway-receptor method is used to assess the risk of the coastal community of Charlestown, RI, USA, to the 100-year storm, including effects of sea level rise (SLR) and shoreline/dune erosion. The 100-year storm is simulated using a chain of stochastic and physics-based models combined with a scenario-based approach. Storm surge and wave spectral parameters, obtained from the U.S. Army Corps of Engineers’ North Atlantic Coast Comprehensive Study (NACCS), are used as boundary conditions for high-resolution wave simulations, performed in the coastal and inundation zones using the steady-state spectral wave model STWAVE. Selected scenarios are defined to assess the magnitude of the variability in predicted damage resulting from the uncertainty in SLR, erosion rate, and time at which the 100-year storm would occur. Erosion rates are based on empirical analyses of historic rates of shoreline change, SLR measurements, and coastal erosion theory. The risk is measured in terms of damage to individual houses, based on damage curves developed in the U.S. Army Corps of Engineers, NACCS study. In addition, remediation scenarios are explored, demonstrating that a combination of dune replenishment and an increase in the residential resilience by elevating structures can significantly diminish the risk to the coastal community. Text North Atlantic University of Rhode Island: DigitalCommons@URI Natural Hazards 88 1 389 414
institution Open Polar
collection University of Rhode Island: DigitalCommons@URI
op_collection_id ftunivrhodeislan
language unknown
topic Coastal erosion
Damage to coastal structures
Dune erosion
Flooding
Inundation
Sea level rise
Wave
spellingShingle Coastal erosion
Damage to coastal structures
Dune erosion
Flooding
Inundation
Sea level rise
Wave
Grilli, Annette
Spaulding, Malcolm L.
Oakley, Bryan A.
Damon, Chris
Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
topic_facet Coastal erosion
Damage to coastal structures
Dune erosion
Flooding
Inundation
Sea level rise
Wave
description A source–pathway-receptor method is used to assess the risk of the coastal community of Charlestown, RI, USA, to the 100-year storm, including effects of sea level rise (SLR) and shoreline/dune erosion. The 100-year storm is simulated using a chain of stochastic and physics-based models combined with a scenario-based approach. Storm surge and wave spectral parameters, obtained from the U.S. Army Corps of Engineers’ North Atlantic Coast Comprehensive Study (NACCS), are used as boundary conditions for high-resolution wave simulations, performed in the coastal and inundation zones using the steady-state spectral wave model STWAVE. Selected scenarios are defined to assess the magnitude of the variability in predicted damage resulting from the uncertainty in SLR, erosion rate, and time at which the 100-year storm would occur. Erosion rates are based on empirical analyses of historic rates of shoreline change, SLR measurements, and coastal erosion theory. The risk is measured in terms of damage to individual houses, based on damage curves developed in the U.S. Army Corps of Engineers, NACCS study. In addition, remediation scenarios are explored, demonstrating that a combination of dune replenishment and an increase in the residential resilience by elevating structures can significantly diminish the risk to the coastal community.
format Text
author Grilli, Annette
Spaulding, Malcolm L.
Oakley, Bryan A.
Damon, Chris
author_facet Grilli, Annette
Spaulding, Malcolm L.
Oakley, Bryan A.
Damon, Chris
author_sort Grilli, Annette
title Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
title_short Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
title_full Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
title_fullStr Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
title_full_unstemmed Mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to Charlestown RI, USA
title_sort mapping the coastal risk for the next century, including sea level rise and changes in the coastline: application to charlestown ri, usa
publisher DigitalCommons@URI
publishDate 2017
url https://digitalcommons.uri.edu/oce_facpubs/76
https://doi.org/10.1007/s11069-017-2871-x
genre North Atlantic
genre_facet North Atlantic
op_source Ocean Engineering Faculty Publications
op_relation https://digitalcommons.uri.edu/oce_facpubs/76
doi:10.1007/s11069-017-2871-x
https://doi.org/10.1007/s11069-017-2871-x
op_doi https://doi.org/10.1007/s11069-017-2871-x
container_title Natural Hazards
container_volume 88
container_issue 1
container_start_page 389
op_container_end_page 414
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