Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272771
Artículo científico (article). 2022

COASTAL FLOODING AND MEAN SEA-LEVEL RISE ALLOWANCES IN ATOLL ISLAND

Digital.CSIC. Repositorio Institucional del CSIC
  • Amores, Ángel
  • Marcos, Marta
  • Le Cozannet, Gonéri
  • Hinkel, Jochen
Amores, Angel; Marcos, Marta; Le Cozannet, Gonéri; Hinkel, Jochen. Author Correction: Coastal flooding and mean sea-level rise allowances in atoll island. Scientific Reports 12: 2523 (2022). https://doi.org/10.1038/s41598-022-06548-2 . http://hdl.handle.net/10261/272773, Atoll islands are among the places most vulnerable to climate change due to their low elevation above mean sea level. Even today, some of these islands suffer from severe flooding generated by wind-waves, that will be exacerbated with mean sea-level rise. Wave-induced flooding is a complex physical process that requires computationally-expensive numerical models to be reliably estimated, thus limiting its application to single island case studies. Here we present a new model-based parameterisation for wave setup and a set of numerical simulations for the wave-induced flooding in coral reef islands as a function of their morphology, the Manning friction coefficient, wave characteristics and projected mean sea level that can be used for rapid, broad scale (e.g. entire atoll island nations) flood risk assessments. We apply this new approach to the Maldives to compute the increase in wave hazard due to mean sea-level rise, as well as the change in island elevation or coastal protection required to keep wave-induced flooding constant. While future flooding in the Maldives is projected to increase drastically due to sea-level rise, we show that similar impacts in nearby islands can occur decades apart depending on the exposure to waves and the topobathymetry of each island. Such assessment can be useful to determine on which islands adaptation is most urgently needed., This study was supported by the project RTI2018-093941-B-C31 supported by MCIN/ AEI 10.13039/501100011033 and by FEDER Una manera de hacer Europa and by the INSeaPTION Project that is part of ERA4CS, an ERANET initiated by JPI Climate, and funded by Ministerio de Economía, Industria y Competitividad-Agencia Estatal de Investigación (ES) (Grant number PCIN-2017-038), BMBF (DE), NOW (NL) and ANR (FR) with co-funding by the European Union (Grant 690462). Angel Amores was funded by the Conselleria d’Educació, Universitat i Recerca del Govern Balear through the Direcció General de Política Universitària i Recerca and by the Fondo Social Europeo for the period 2014–2020 (Grant no. PD/011/2019). The authors are grateful to Dr. Rodrigo Pedreros for his help in the interpretation of the results, to Benoit Meyssignac for sharing SLR reconstruction data, Aurélie Maspataud for the bathymetry and Rémi Thiéblemont for contributions in the development of the SLR projection codes. The wave setup and wave-induced flooding simulations can be downloaded from https://doi.org/10.5281/zenodo.5521394., Peer reviewed




Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272773
Artículo científico (article). 2022

AUTHOR CORRECTION: COASTAL FLOODING AND MEAN SEA-LEVEL RISE ALLOWANCES IN ATOLL ISLAND

Digital.CSIC. Repositorio Institucional del CSIC
  • Amores, Ángel
  • Marcos, Marta
  • Le Cozannet, Gonéri
  • Hinkel, Jochen
Amores, Angel; Marcos, Marta; Le Cozannet, Gonéri; Hinkel, Jochen. Coastal flooding and mean sea-level rise allowances in atoll island. Scientific Reports 12: 1281 (2022). https://doi.org/10.1038/s41598-022-05329-1 . http://hdl.handle.net/10261/272771, Atoll islands are among the places most vulnerable to climate change due to their low elevation above mean sea level. Even today, some of these islands suffer from severe flooding generated by wind-waves, that will be exacerbated with mean sea-level rise. Wave-induced flooding is a complex physical process that requires computationally-expensive numerical models to be reliably estimated, thus limiting its application to single island case studies. Here we present a new model-based parameterisation for wave setup and a set of numerical simulations for the wave-induced flooding in coral reef islands as a function of their morphology, the Manning friction coefficient, wave characteristics and projected mean sea level that can be used for rapid, broad scale (e.g. entire atoll island nations) flood risk assessments. We apply this new approach to the Maldives to compute the increase in wave hazard due to mean sea-level rise, as well as the change in island elevation or coastal protection required to keep wave-induced flooding constant. While future flooding in the Maldives is projected to increase drastically due to sea-level rise, we show that similar impacts in nearby islands can occur decades apart depending on the exposure to waves and the topobathymetry of each island. Such assessment can be useful to determine on which islands adaptation is most urgently needed., This study was supported by the project RTI2018-093941-B-C31 supported by MCIN/ AEI 10.13039/501100011033 and by FEDER Una manera de hacer Europa and by the INSeaPTION Project that is part of ERA4CS, an ERANET initiated by JPI Climate, and funded by Ministerio de Economía, Industria y Competitividad-Agencia Estatal de Investigación (ES) (Grant number PCIN-2017-038), BMBF (DE), NOW (NL) and ANR (FR) with co-funding by the European Union (Grant 690462). Angel Amores was funded by the Conselleria d’Educació, Universitat i Recerca del Govern Balear through the Direcció General de Política Universitària i Recerca and by the Fondo Social Europeo for the period 2014–2020 (Grant no. PD/011/2019). The authors are grateful to Dr. Rodrigo Pedreros for his help in the interpretation of the results, to Benoit Meyssignac for sharing SLR reconstruction data, Aurélie Maspataud for the bathymetry and Rémi Thiéblemont for contributions in the development of the SLR projection codes. The wave setup and wave-induced flooding simulations can be downloaded from https://doi.org/10.5281/zenodo.5521394., Peer reviewed




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