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Uncertainty in estuarine extreme water level predictions due to surge-tide interaction
Storm surge is often the greatest threat to life and critical infrastructures during hurricanes and violent storms. Millions of people living in low-lying coastal zones and critical infrastructure within this zone rely on accurate storm surge forecast for disaster prevention and flood hazard mitigat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203349/ https://www.ncbi.nlm.nih.gov/pubmed/30365514 http://dx.doi.org/10.1371/journal.pone.0206200 |
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author | Lyddon, Charlotte Brown, Jenny M. Leonardi, Nicoletta Plater, Andrew J. |
author_facet | Lyddon, Charlotte Brown, Jenny M. Leonardi, Nicoletta Plater, Andrew J. |
author_sort | Lyddon, Charlotte |
collection | PubMed |
description | Storm surge is often the greatest threat to life and critical infrastructures during hurricanes and violent storms. Millions of people living in low-lying coastal zones and critical infrastructure within this zone rely on accurate storm surge forecast for disaster prevention and flood hazard mitigation. However, variability in residual sea level up-estuary, defined here as observed sea level minus predicted tide, can enhance total water levels; variability in the surge thus needs to be captured accurately to reduce uncertainty in site specific hazard assessment. Delft3D-FLOW is used to investigate surge variability, and the influence of storm surge timing on barotropic tide-surge propagation in a tide-dominant estuary using the Severn Estuary, south-west England, as an example. Model results show maximum surge elevation increases exponentially up-estuary and, for a range of surge timings consistently occurs on the flood tide. In the Severn Estuary, over a distance of 40 km from the most upstream tide gauge at Oldbury, the maximum surge elevation increases by 255%. Up-estuary locations experience short duration, high magnitude surge elevations and greater variability due to shallow-water effects and channel convergence. The results show that surge predictions from forecasting systems at tide gauge locations could under-predict the magnitude and duration of surge contribution to up-estuary water levels. Due to the large tidal range and dynamic nature of hyper-tidal estuaries, local forecasting systems should consider changes in surge elevation and shape with distance up-estuary from nearby tide gauge sites to minimize uncertainties in flood hazard assessment. |
format | Online Article Text |
id | pubmed-6203349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62033492018-11-19 Uncertainty in estuarine extreme water level predictions due to surge-tide interaction Lyddon, Charlotte Brown, Jenny M. Leonardi, Nicoletta Plater, Andrew J. PLoS One Research Article Storm surge is often the greatest threat to life and critical infrastructures during hurricanes and violent storms. Millions of people living in low-lying coastal zones and critical infrastructure within this zone rely on accurate storm surge forecast for disaster prevention and flood hazard mitigation. However, variability in residual sea level up-estuary, defined here as observed sea level minus predicted tide, can enhance total water levels; variability in the surge thus needs to be captured accurately to reduce uncertainty in site specific hazard assessment. Delft3D-FLOW is used to investigate surge variability, and the influence of storm surge timing on barotropic tide-surge propagation in a tide-dominant estuary using the Severn Estuary, south-west England, as an example. Model results show maximum surge elevation increases exponentially up-estuary and, for a range of surge timings consistently occurs on the flood tide. In the Severn Estuary, over a distance of 40 km from the most upstream tide gauge at Oldbury, the maximum surge elevation increases by 255%. Up-estuary locations experience short duration, high magnitude surge elevations and greater variability due to shallow-water effects and channel convergence. The results show that surge predictions from forecasting systems at tide gauge locations could under-predict the magnitude and duration of surge contribution to up-estuary water levels. Due to the large tidal range and dynamic nature of hyper-tidal estuaries, local forecasting systems should consider changes in surge elevation and shape with distance up-estuary from nearby tide gauge sites to minimize uncertainties in flood hazard assessment. Public Library of Science 2018-10-26 /pmc/articles/PMC6203349/ /pubmed/30365514 http://dx.doi.org/10.1371/journal.pone.0206200 Text en © 2018 Lyddon et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lyddon, Charlotte Brown, Jenny M. Leonardi, Nicoletta Plater, Andrew J. Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title | Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title_full | Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title_fullStr | Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title_full_unstemmed | Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title_short | Uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
title_sort | uncertainty in estuarine extreme water level predictions due to surge-tide interaction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203349/ https://www.ncbi.nlm.nih.gov/pubmed/30365514 http://dx.doi.org/10.1371/journal.pone.0206200 |
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