Spatio-temporal clustering of extreme floods in Great Britain ...
Quantifying the tendency of flood events to demonstrate clustering in time and space is crucial for flood risk assessments. We analyse the temporal (TC) and spatial (SC) coherence of floods in 554 catchments over Great Britain. TC was assessed using the dispersion-index and Conway-Maxwell-Poisson re...
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ftdatacite:10.6084/m9.figshare.26014225 2024-09-15T18:23:22+00:00 Spatio-temporal clustering of extreme floods in Great Britain ... Formetta, Giuseppe Svensson, Cecilia Stewart, Elizabeth 2024 https://dx.doi.org/10.6084/m9.figshare.26014225 https://tandf.figshare.com/articles/journal_contribution/Spatio-temporal_clustering_of_extreme_floods_in_Great_Britain/26014225 unknown Taylor & Francis https://dx.doi.org/10.1080/02626667.2024.2367167 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Biotechnology Chemical Sciences not elsewhere classified Ecology FOS: Biological sciences Immunology FOS: Clinical medicine Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Text ScholarlyArticle article-journal Journal contribution 2024 ftdatacite https://doi.org/10.6084/m9.figshare.2601422510.1080/02626667.2024.2367167 2024-09-02T08:06:55Z Quantifying the tendency of flood events to demonstrate clustering in time and space is crucial for flood risk assessments. We analyse the temporal (TC) and spatial (SC) coherence of floods in 554 catchments over Great Britain. TC was assessed using the dispersion-index and Conway-Maxwell-Poisson regression, with both methods applied to aggregation windows of 1–5 years. SC was investigated using the flood susceptibility index. Results show that i) most of the UK peak floods are overdispersed and ii) a positive relationship exists between winter mean North Atlantic Oscillation anomalies and the annual number of peak floods across western Britain. The susceptibility to widespread floods is higher for the southeast parts of Britain and for the Clyde-Forth valleys, and it increases with catchment permeability and with the influence of lakes/reservoirs. These findings are relevant to enhance existing flood hazard estimation methods and, in turn, will lead to more realistic flood risk quantification. ... Text North Atlantic North Atlantic oscillation DataCite |
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Biotechnology Chemical Sciences not elsewhere classified Ecology FOS: Biological sciences Immunology FOS: Clinical medicine Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified |
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Biotechnology Chemical Sciences not elsewhere classified Ecology FOS: Biological sciences Immunology FOS: Clinical medicine Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Formetta, Giuseppe Svensson, Cecilia Stewart, Elizabeth Spatio-temporal clustering of extreme floods in Great Britain ... |
topic_facet |
Biotechnology Chemical Sciences not elsewhere classified Ecology FOS: Biological sciences Immunology FOS: Clinical medicine Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified |
description |
Quantifying the tendency of flood events to demonstrate clustering in time and space is crucial for flood risk assessments. We analyse the temporal (TC) and spatial (SC) coherence of floods in 554 catchments over Great Britain. TC was assessed using the dispersion-index and Conway-Maxwell-Poisson regression, with both methods applied to aggregation windows of 1–5 years. SC was investigated using the flood susceptibility index. Results show that i) most of the UK peak floods are overdispersed and ii) a positive relationship exists between winter mean North Atlantic Oscillation anomalies and the annual number of peak floods across western Britain. The susceptibility to widespread floods is higher for the southeast parts of Britain and for the Clyde-Forth valleys, and it increases with catchment permeability and with the influence of lakes/reservoirs. These findings are relevant to enhance existing flood hazard estimation methods and, in turn, will lead to more realistic flood risk quantification. ... |
format |
Text |
author |
Formetta, Giuseppe Svensson, Cecilia Stewart, Elizabeth |
author_facet |
Formetta, Giuseppe Svensson, Cecilia Stewart, Elizabeth |
author_sort |
Formetta, Giuseppe |
title |
Spatio-temporal clustering of extreme floods in Great Britain ... |
title_short |
Spatio-temporal clustering of extreme floods in Great Britain ... |
title_full |
Spatio-temporal clustering of extreme floods in Great Britain ... |
title_fullStr |
Spatio-temporal clustering of extreme floods in Great Britain ... |
title_full_unstemmed |
Spatio-temporal clustering of extreme floods in Great Britain ... |
title_sort |
spatio-temporal clustering of extreme floods in great britain ... |
publisher |
Taylor & Francis |
publishDate |
2024 |
url |
https://dx.doi.org/10.6084/m9.figshare.26014225 https://tandf.figshare.com/articles/journal_contribution/Spatio-temporal_clustering_of_extreme_floods_in_Great_Britain/26014225 |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_relation |
https://dx.doi.org/10.1080/02626667.2024.2367167 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.2601422510.1080/02626667.2024.2367167 |
_version_ |
1810463578479656960 |