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Evaluation of future estuarine floods in a sea level rise context

Reliable predictions of future inundation extent within estuaries require a precise evaluation of future extreme sea levels and the application of accurate numerical models that account for the physical processes driving estuarine hydrodynamics. In this study, a methodology that integrates the estim...

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Autores principales: Lopes, Carina Lurdes, Sousa, Magda Catarina, Ribeiro, Américo, Pereira, Humberto, Pinheiro, João Pedro, Vaz, Leandro, Dias, João Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110397/
https://www.ncbi.nlm.nih.gov/pubmed/35577878
http://dx.doi.org/10.1038/s41598-022-12122-7
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author Lopes, Carina Lurdes
Sousa, Magda Catarina
Ribeiro, Américo
Pereira, Humberto
Pinheiro, João Pedro
Vaz, Leandro
Dias, João Miguel
author_facet Lopes, Carina Lurdes
Sousa, Magda Catarina
Ribeiro, Américo
Pereira, Humberto
Pinheiro, João Pedro
Vaz, Leandro
Dias, João Miguel
author_sort Lopes, Carina Lurdes
collection PubMed
description Reliable predictions of future inundation extent within estuaries require a precise evaluation of future extreme sea levels and the application of accurate numerical models that account for the physical processes driving estuarine hydrodynamics. In this study, a methodology that integrates the estimation of local extreme sea levels with high-resolution numerical modeling was applied to assess the future inundation extent in five estuarine systems located on the Portuguese Coast. The main findings obtained were compared with available results from the popular bathtub approach, that disregards the physical processes driving estuarine hydrodynamics and therefore provide imprecise predictions of inundation extent and associated socio-economic impacts. The inundation extent is revealed to be highly dependent on the extreme sea levels and on the estuarine geomorphology, which controls the propagating long-wave. As the long-wave height is highly attenuated within estuaries that have adjacent low-lying areas, restricted inlets, or extensive tidal flats, the results of this study revealed that the extent of inundation is considerably smaller than that obtained by the bathtub approach. The uncertainties associated with mean sea level rise and the estuarine geomorphological evolution constitute the greatest difficulty in assessing the extent of flooding, posing major challenges to the efficient and sustainable management of estuaries.
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spelling pubmed-91103972022-05-18 Evaluation of future estuarine floods in a sea level rise context Lopes, Carina Lurdes Sousa, Magda Catarina Ribeiro, Américo Pereira, Humberto Pinheiro, João Pedro Vaz, Leandro Dias, João Miguel Sci Rep Article Reliable predictions of future inundation extent within estuaries require a precise evaluation of future extreme sea levels and the application of accurate numerical models that account for the physical processes driving estuarine hydrodynamics. In this study, a methodology that integrates the estimation of local extreme sea levels with high-resolution numerical modeling was applied to assess the future inundation extent in five estuarine systems located on the Portuguese Coast. The main findings obtained were compared with available results from the popular bathtub approach, that disregards the physical processes driving estuarine hydrodynamics and therefore provide imprecise predictions of inundation extent and associated socio-economic impacts. The inundation extent is revealed to be highly dependent on the extreme sea levels and on the estuarine geomorphology, which controls the propagating long-wave. As the long-wave height is highly attenuated within estuaries that have adjacent low-lying areas, restricted inlets, or extensive tidal flats, the results of this study revealed that the extent of inundation is considerably smaller than that obtained by the bathtub approach. The uncertainties associated with mean sea level rise and the estuarine geomorphological evolution constitute the greatest difficulty in assessing the extent of flooding, posing major challenges to the efficient and sustainable management of estuaries. Nature Publishing Group UK 2022-05-16 /pmc/articles/PMC9110397/ /pubmed/35577878 http://dx.doi.org/10.1038/s41598-022-12122-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lopes, Carina Lurdes
Sousa, Magda Catarina
Ribeiro, Américo
Pereira, Humberto
Pinheiro, João Pedro
Vaz, Leandro
Dias, João Miguel
Evaluation of future estuarine floods in a sea level rise context
title Evaluation of future estuarine floods in a sea level rise context
title_full Evaluation of future estuarine floods in a sea level rise context
title_fullStr Evaluation of future estuarine floods in a sea level rise context
title_full_unstemmed Evaluation of future estuarine floods in a sea level rise context
title_short Evaluation of future estuarine floods in a sea level rise context
title_sort evaluation of future estuarine floods in a sea level rise context
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9110397/
https://www.ncbi.nlm.nih.gov/pubmed/35577878
http://dx.doi.org/10.1038/s41598-022-12122-7
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