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

Abstract 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 hypothe...

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Autores principales:	Y. Peter Sheng, Adail A. Rivera-Nieves, Ruizhi Zou, Vladimir A. Paramygin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ef2ddb9c20b54c7b961a2db5c93f7d2a
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spelling	oai:doaj.org-article:ef2ddb9c20b54c7b961a2db5c93f7d2a2021-12-02T13:19:21ZRole of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions10.1038/s41598-021-84701-z2045-2322https://doaj.org/article/ef2ddb9c20b54c7b961a2db5c93f7d2a2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84701-zhttps://doaj.org/toc/2045-2322Abstract 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.Y. Peter ShengAdail A. Rivera-NievesRuizhi ZouVladimir A. ParamyginNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Y. Peter Sheng Adail A. Rivera-Nieves Ruizhi Zou Vladimir A. Paramygin Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
description	Abstract 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.
format	article
author	Y. Peter Sheng Adail A. Rivera-Nieves Ruizhi Zou Vladimir A. Paramygin
author_facet	Y. Peter Sheng Adail A. Rivera-Nieves Ruizhi Zou Vladimir A. Paramygin
author_sort	Y. Peter Sheng
title	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_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_sort	role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ef2ddb9c20b54c7b961a2db5c93f7d2a
work_keys_str_mv	AT ypetersheng roleofwetlandsinreducingstructurallossishighlydependentoncharacteristicsofstormsandlocalwetlandandstructureconditions AT adailariveranieves roleofwetlandsinreducingstructurallossishighlydependentoncharacteristicsofstormsandlocalwetlandandstructureconditions AT ruizhizou roleofwetlandsinreducingstructurallossishighlydependentoncharacteristicsofstormsandlocalwetlandandstructureconditions AT vladimiraparamygin roleofwetlandsinreducingstructurallossishighlydependentoncharacteristicsofstormsandlocalwetlandandstructureconditions
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Role of wetlands in reducing structural loss is highly dependent on characteristics of storms and local wetland and structure conditions

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