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Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods

Planning community resilience to sea level rise (SLR) requires information about where, when, and how SLR hazards will impact the coastal zone. We augment passive flood mapping (the so-called “bathtub” approach) by simulating physical processes posing recurrent threats to coastal infrastructure, com...

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Autores principales: Anderson, Tiffany R., Fletcher, Charles H., Barbee, Matthew M., Romine, Bradley M., Lemmo, Sam, Delevaux, Jade M.S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160426/
https://www.ncbi.nlm.nih.gov/pubmed/30262891
http://dx.doi.org/10.1038/s41598-018-32658-x
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author Anderson, Tiffany R.
Fletcher, Charles H.
Barbee, Matthew M.
Romine, Bradley M.
Lemmo, Sam
Delevaux, Jade M.S.
author_facet Anderson, Tiffany R.
Fletcher, Charles H.
Barbee, Matthew M.
Romine, Bradley M.
Lemmo, Sam
Delevaux, Jade M.S.
author_sort Anderson, Tiffany R.
collection PubMed
description Planning community resilience to sea level rise (SLR) requires information about where, when, and how SLR hazards will impact the coastal zone. We augment passive flood mapping (the so-called “bathtub” approach) by simulating physical processes posing recurrent threats to coastal infrastructure, communities, and ecosystems in Hawai‘i (including tidally-forced direct marine and groundwater flooding, seasonal wave inundation, and chronic coastal erosion). We find that the “bathtub” approach, alone, ignores 35–54 percent of the total land area exposed to one or more of these hazards, depending on location and SLR scenario. We conclude that modeling dynamic processes, including waves and erosion, is essential to robust SLR vulnerability assessment. Results also indicate that as sea level rises, coastal lands are exposed to higher flood depths and water velocities. The prevalence of low-lying coastal plains leads to a rapid increase in land exposure to hazards when sea level exceeds a critical elevation of ~0.3 or 0.6 m, depending on location. At ~1 m of SLR, land that is roughly seven times the total modern beach area is exposed to one or more hazards. Projected increases in extent, magnitude, and rate of persistent SLR impacts suggest an urgency to engage in long-term planning immediately.
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spelling pubmed-61604262018-09-28 Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods Anderson, Tiffany R. Fletcher, Charles H. Barbee, Matthew M. Romine, Bradley M. Lemmo, Sam Delevaux, Jade M.S. Sci Rep Article Planning community resilience to sea level rise (SLR) requires information about where, when, and how SLR hazards will impact the coastal zone. We augment passive flood mapping (the so-called “bathtub” approach) by simulating physical processes posing recurrent threats to coastal infrastructure, communities, and ecosystems in Hawai‘i (including tidally-forced direct marine and groundwater flooding, seasonal wave inundation, and chronic coastal erosion). We find that the “bathtub” approach, alone, ignores 35–54 percent of the total land area exposed to one or more of these hazards, depending on location and SLR scenario. We conclude that modeling dynamic processes, including waves and erosion, is essential to robust SLR vulnerability assessment. Results also indicate that as sea level rises, coastal lands are exposed to higher flood depths and water velocities. The prevalence of low-lying coastal plains leads to a rapid increase in land exposure to hazards when sea level exceeds a critical elevation of ~0.3 or 0.6 m, depending on location. At ~1 m of SLR, land that is roughly seven times the total modern beach area is exposed to one or more hazards. Projected increases in extent, magnitude, and rate of persistent SLR impacts suggest an urgency to engage in long-term planning immediately. Nature Publishing Group UK 2018-09-27 /pmc/articles/PMC6160426/ /pubmed/30262891 http://dx.doi.org/10.1038/s41598-018-32658-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Anderson, Tiffany R.
Fletcher, Charles H.
Barbee, Matthew M.
Romine, Bradley M.
Lemmo, Sam
Delevaux, Jade M.S.
Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title_full Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title_fullStr Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title_full_unstemmed Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title_short Modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
title_sort modeling multiple sea level rise stresses reveals up to twice the land at risk compared to strictly passive flooding methods
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6160426/
https://www.ncbi.nlm.nih.gov/pubmed/30262891
http://dx.doi.org/10.1038/s41598-018-32658-x
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