Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns
In coastal regions, floods can arise through a combination of multiple drivers, including direct surface run-off, river discharge, storm surge, and waves. In this study, we analyse compound flood potential in Europe and environs caused by these four main flooding sources using state-of-the-art datab...
Published in: | Natural Hazards and Earth System Sciences |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2021
|
Subjects: | |
Online Access: | https://doi.org/10.5194/nhess-21-2021-2021 https://doaj.org/article/bd4977576e12411ea82136418f4fc9fc |
_version_ | 1821650506999660544 |
---|---|
author | P. Camus I. D. Haigh A. A. Nasr T. Wahl S. E. Darby R. J. Nicholls |
author_facet | P. Camus I. D. Haigh A. A. Nasr T. Wahl S. E. Darby R. J. Nicholls |
author_sort | P. Camus |
collection | Directory of Open Access Journals: DOAJ Articles |
container_issue | 7 |
container_start_page | 2021 |
container_title | Natural Hazards and Earth System Sciences |
container_volume | 21 |
description | In coastal regions, floods can arise through a combination of multiple drivers, including direct surface run-off, river discharge, storm surge, and waves. In this study, we analyse compound flood potential in Europe and environs caused by these four main flooding sources using state-of-the-art databases with coherent forcing (i.e. ERA5). First, we analyse the sensitivity of the compound flooding potential to several factors: (1) sampling method, (2) time window to select the concurrent event of the conditioned driver, (3) dependence metrics, and (4) wave-driven sea level definition. We observe higher correlation coefficients using annual maxima than peaks over threshold. Regarding the other factors, our results show similar spatial distributions of the compound flooding potential. Second, the dependence between the pairs of drivers using the Kendall rank correlation coefficient and the joint occurrence are synthesized for coherent patterns of compound flooding potential using a clustering technique. This quantitative multi-driver assessment not only distinguishes where overall compound flooding potential is the highest, but also discriminates which driver combinations are more likely to contribute to compound flooding. We identify that hotspots of compound flooding potential are located along the southern coast of the North Atlantic Ocean and the northern coast of the Mediterranean Sea. |
format | Article in Journal/Newspaper |
genre | North Atlantic |
genre_facet | North Atlantic |
geographic | Kendall |
geographic_facet | Kendall |
id | ftdoajarticles:oai:doaj.org/article:bd4977576e12411ea82136418f4fc9fc |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
op_collection_id | ftdoajarticles |
op_container_end_page | 2040 |
op_doi | https://doi.org/10.5194/nhess-21-2021-2021 |
op_relation | https://nhess.copernicus.org/articles/21/2021/2021/nhess-21-2021-2021.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-21-2021-2021 1561-8633 1684-9981 https://doaj.org/article/bd4977576e12411ea82136418f4fc9fc |
op_source | Natural Hazards and Earth System Sciences, Vol 21, Pp 2021-2040 (2021) |
publishDate | 2021 |
publisher | Copernicus Publications |
record_format | openpolar |
spelling | ftdoajarticles:oai:doaj.org/article:bd4977576e12411ea82136418f4fc9fc 2025-01-16T23:41:48+00:00 Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns P. Camus I. D. Haigh A. A. Nasr T. Wahl S. E. Darby R. J. Nicholls 2021-07-01T00:00:00Z https://doi.org/10.5194/nhess-21-2021-2021 https://doaj.org/article/bd4977576e12411ea82136418f4fc9fc EN eng Copernicus Publications https://nhess.copernicus.org/articles/21/2021/2021/nhess-21-2021-2021.pdf https://doaj.org/toc/1561-8633 https://doaj.org/toc/1684-9981 doi:10.5194/nhess-21-2021-2021 1561-8633 1684-9981 https://doaj.org/article/bd4977576e12411ea82136418f4fc9fc Natural Hazards and Earth System Sciences, Vol 21, Pp 2021-2040 (2021) Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 article 2021 ftdoajarticles https://doi.org/10.5194/nhess-21-2021-2021 2022-12-31T10:12:59Z In coastal regions, floods can arise through a combination of multiple drivers, including direct surface run-off, river discharge, storm surge, and waves. In this study, we analyse compound flood potential in Europe and environs caused by these four main flooding sources using state-of-the-art databases with coherent forcing (i.e. ERA5). First, we analyse the sensitivity of the compound flooding potential to several factors: (1) sampling method, (2) time window to select the concurrent event of the conditioned driver, (3) dependence metrics, and (4) wave-driven sea level definition. We observe higher correlation coefficients using annual maxima than peaks over threshold. Regarding the other factors, our results show similar spatial distributions of the compound flooding potential. Second, the dependence between the pairs of drivers using the Kendall rank correlation coefficient and the joint occurrence are synthesized for coherent patterns of compound flooding potential using a clustering technique. This quantitative multi-driver assessment not only distinguishes where overall compound flooding potential is the highest, but also discriminates which driver combinations are more likely to contribute to compound flooding. We identify that hotspots of compound flooding potential are located along the southern coast of the North Atlantic Ocean and the northern coast of the Mediterranean Sea. Article in Journal/Newspaper North Atlantic Directory of Open Access Journals: DOAJ Articles Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Natural Hazards and Earth System Sciences 21 7 2021 2040 |
spellingShingle | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 P. Camus I. D. Haigh A. A. Nasr T. Wahl S. E. Darby R. J. Nicholls Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title | Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title_full | Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title_fullStr | Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title_full_unstemmed | Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title_short | Regional analysis of multivariate compound coastal flooding potential around Europe and environs: sensitivity analysis and spatial patterns |
title_sort | regional analysis of multivariate compound coastal flooding potential around europe and environs: sensitivity analysis and spatial patterns |
topic | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
topic_facet | Environmental technology. Sanitary engineering TD1-1066 Geography. Anthropology. Recreation G Environmental sciences GE1-350 Geology QE1-996.5 |
url | https://doi.org/10.5194/nhess-21-2021-2021 https://doaj.org/article/bd4977576e12411ea82136418f4fc9fc |