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Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions

Coastal communities in New Jersey (NJ), New York (NY), and Connecticut (CT) sustained huge structural loss during Sandy in 2012. We present a comprehensive science-based study to assess the role of coastal wetlands in buffering surge and wave in the tri-state by considering Sandy, a hypothetical Bla...

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Autores principales: Sheng, Y. Peter, Rivera-Nieves, Adail A., Zou, Ruizhi, Paramygin, Vladimir A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933150/
https://www.ncbi.nlm.nih.gov/pubmed/33664399
http://dx.doi.org/10.1038/s41598-021-84701-z
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author Sheng, Y. Peter
Rivera-Nieves, Adail A.
Zou, Ruizhi
Paramygin, Vladimir A.
author_facet Sheng, Y. Peter
Rivera-Nieves, Adail A.
Zou, Ruizhi
Paramygin, Vladimir A.
author_sort Sheng, Y. Peter
collection PubMed
description Coastal communities in New Jersey (NJ), New York (NY), and Connecticut (CT) sustained huge structural loss during Sandy in 2012. We present a comprehensive science-based study to assess the role of coastal wetlands in buffering surge and wave in the tri-state by considering Sandy, a hypothetical Black Swan (BS) storm, and the 1% annual chance flood and wave event. Model simulations were conducted with and without existing coastal wetlands, using a dynamically coupled surge-wave model with two types of coastal wetlands. Simulated surge and wave for Sandy were verified with data at numerous stations. Structural loss estimated using real property data and latest damage functions agreed well with loss payout data. Results show that, on zip-code scale, the relative structural loss varies significantly with the percent wetland cover, the at-risk structural value, and the average wave crest height. Reduction in structural loss by coastal wetlands was low in Sandy, modest in the BS storm, and significant in the 1% annual chance flood and wave event. NJ wetlands helped to avoid 8%, 26%, 52% loss during Sandy, BS storm, and 1% event, respectively. This regression model can be used for wetland restoration planning to further reduce structural loss in coastal communities.
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spelling pubmed-79331502021-03-05 Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions Sheng, Y. Peter Rivera-Nieves, Adail A. Zou, Ruizhi Paramygin, Vladimir A. Sci Rep Article Coastal communities in New Jersey (NJ), New York (NY), and Connecticut (CT) sustained huge structural loss during Sandy in 2012. We present a comprehensive science-based study to assess the role of coastal wetlands in buffering surge and wave in the tri-state by considering Sandy, a hypothetical Black Swan (BS) storm, and the 1% annual chance flood and wave event. Model simulations were conducted with and without existing coastal wetlands, using a dynamically coupled surge-wave model with two types of coastal wetlands. Simulated surge and wave for Sandy were verified with data at numerous stations. Structural loss estimated using real property data and latest damage functions agreed well with loss payout data. Results show that, on zip-code scale, the relative structural loss varies significantly with the percent wetland cover, the at-risk structural value, and the average wave crest height. Reduction in structural loss by coastal wetlands was low in Sandy, modest in the BS storm, and significant in the 1% annual chance flood and wave event. NJ wetlands helped to avoid 8%, 26%, 52% loss during Sandy, BS storm, and 1% event, respectively. This regression model can be used for wetland restoration planning to further reduce structural loss in coastal communities. Nature Publishing Group UK 2021-03-04 /pmc/articles/PMC7933150/ /pubmed/33664399 http://dx.doi.org/10.1038/s41598-021-84701-z Text en © The Author(s) 2021 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Sheng, Y. Peter
Rivera-Nieves, Adail A.
Zou, Ruizhi
Paramygin, Vladimir A.
Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title_full Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title_fullStr Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title_full_unstemmed Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title_short Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
title_sort role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7933150/
https://www.ncbi.nlm.nih.gov/pubmed/33664399
http://dx.doi.org/10.1038/s41598-021-84701-z
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