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Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics

Coastal flood risk assessments require accurate land elevation data. Those to date existed only for limited parts of the world, which has resulted in high uncertainty in projections of land area at risk of sea-level rise (SLR). Here we have applied the first global elevation model derived from satel...

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Autores principales: Hooijer, A., Vernimmen, R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242013/
https://www.ncbi.nlm.nih.gov/pubmed/34188026
http://dx.doi.org/10.1038/s41467-021-23810-9
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author Hooijer, A.
Vernimmen, R.
author_facet Hooijer, A.
Vernimmen, R.
author_sort Hooijer, A.
collection PubMed
description Coastal flood risk assessments require accurate land elevation data. Those to date existed only for limited parts of the world, which has resulted in high uncertainty in projections of land area at risk of sea-level rise (SLR). Here we have applied the first global elevation model derived from satellite LiDAR data. We find that of the worldwide land area less than 2 m above mean sea level, that is most vulnerable to SLR, 649,000 km(2) or 62% is in the tropics. Even assuming a low-end relative SLR of 1 m by 2100 and a stable lowland population number and distribution, the 2020 population of 267 million on such land would increase to at least 410 million of which 72% in the tropics and 59% in tropical Asia alone. We conclude that the burden of current coastal flood risk and future SLR falls disproportionally on tropical regions, especially in Asia.
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spelling pubmed-82420132021-07-20 Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics Hooijer, A. Vernimmen, R. Nat Commun Article Coastal flood risk assessments require accurate land elevation data. Those to date existed only for limited parts of the world, which has resulted in high uncertainty in projections of land area at risk of sea-level rise (SLR). Here we have applied the first global elevation model derived from satellite LiDAR data. We find that of the worldwide land area less than 2 m above mean sea level, that is most vulnerable to SLR, 649,000 km(2) or 62% is in the tropics. Even assuming a low-end relative SLR of 1 m by 2100 and a stable lowland population number and distribution, the 2020 population of 267 million on such land would increase to at least 410 million of which 72% in the tropics and 59% in tropical Asia alone. We conclude that the burden of current coastal flood risk and future SLR falls disproportionally on tropical regions, especially in Asia. Nature Publishing Group UK 2021-06-29 /pmc/articles/PMC8242013/ /pubmed/34188026 http://dx.doi.org/10.1038/s41467-021-23810-9 Text en © The Author(s) 2021 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 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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hooijer, A.
Vernimmen, R.
Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title_full Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title_fullStr Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title_full_unstemmed Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title_short Global LiDAR land elevation data reveal greatest sea-level rise vulnerability in the tropics
title_sort global lidar land elevation data reveal greatest sea-level rise vulnerability in the tropics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8242013/
https://www.ncbi.nlm.nih.gov/pubmed/34188026
http://dx.doi.org/10.1038/s41467-021-23810-9
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