Modeling Coastal Environmental Change and the Tsunami Hazard
The hazard from earthquake-generated tsunami waves is not only determined by the earthquake’s magnitude and mechanisms, and distance to the earthquake area, but also by the geomorphology of the nearshore and onshore areas, which can change over time. In coastal hazard assessments, a changing coastal...
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ftdoajarticles:oai:doaj.org/article:dcb30719e040486cbb8645be6fce33a6 2023-05-15T14:03:33+02:00 Modeling Coastal Environmental Change and the Tsunami Hazard Robert Weiss Tina Dura Jennifer L. Irish 2022-05-01T00:00:00Z https://doi.org/10.3389/fmars.2022.871794 https://doaj.org/article/dcb30719e040486cbb8645be6fce33a6 EN eng Frontiers Media S.A. https://www.frontiersin.org/articles/10.3389/fmars.2022.871794/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2022.871794 https://doaj.org/article/dcb30719e040486cbb8645be6fce33a6 Frontiers in Marine Science, Vol 9 (2022) coastal systems response tsunami modeling climate-change impacts Monte Carlo Science Q General. Including nature conservation geographical distribution QH1-199.5 article 2022 ftdoajarticles https://doi.org/10.3389/fmars.2022.871794 2022-12-31T01:47:45Z The hazard from earthquake-generated tsunami waves is not only determined by the earthquake’s magnitude and mechanisms, and distance to the earthquake area, but also by the geomorphology of the nearshore and onshore areas, which can change over time. In coastal hazard assessments, a changing coastal environment is commonly taken into account by increasing the sea-level to projected values (static). However, sea-level changes and other climate-change impacts influence the entire coastal system causing morphological changes near- and onshore (dynamic). We compare the run-up of the same suite of earthquake-generated tsunamis to a barrier island-marsh-lagoon-marsh system for statically adjusted and dynamically adjusted sea level and bathymetry. Sea-level projections from 2000 to 2100 are considered. The dynamical adjustment is based on a morphokinetic model that incorporates sea-level along with other climate-change impacts. We employ Representative Concentration Pathways 2.6 and 8.5 without and with treatment of Antarctic Ice-sheet processes (known as K14 and K17) as different sea-level projections. It is important to note that we do not account for the occurrence probability of the earthquakes. Our results indicate that the tsunami run-up hazard for the dynamic case is approximately three times larger than for the static case. Furthermore, we show that nonlinear and complex responses of the barrier island-marsh-lagoon-marsh system to climate change profoundly impacts the tsunami hazard, and we caution that the tsunami run-up is sensitive to climate-change impacts that are less well-studied than sea-level rise. Article in Journal/Newspaper Antarc* Antarctic Ice Sheet Directory of Open Access Journals: DOAJ Articles Antarctic Barrier Island ENVELOPE(78.396,78.396,-68.431,-68.431) Frontiers in Marine Science 9 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
coastal systems response tsunami modeling climate-change impacts Monte Carlo Science Q General. Including nature conservation geographical distribution QH1-199.5 |
spellingShingle |
coastal systems response tsunami modeling climate-change impacts Monte Carlo Science Q General. Including nature conservation geographical distribution QH1-199.5 Robert Weiss Tina Dura Jennifer L. Irish Modeling Coastal Environmental Change and the Tsunami Hazard |
topic_facet |
coastal systems response tsunami modeling climate-change impacts Monte Carlo Science Q General. Including nature conservation geographical distribution QH1-199.5 |
description |
The hazard from earthquake-generated tsunami waves is not only determined by the earthquake’s magnitude and mechanisms, and distance to the earthquake area, but also by the geomorphology of the nearshore and onshore areas, which can change over time. In coastal hazard assessments, a changing coastal environment is commonly taken into account by increasing the sea-level to projected values (static). However, sea-level changes and other climate-change impacts influence the entire coastal system causing morphological changes near- and onshore (dynamic). We compare the run-up of the same suite of earthquake-generated tsunamis to a barrier island-marsh-lagoon-marsh system for statically adjusted and dynamically adjusted sea level and bathymetry. Sea-level projections from 2000 to 2100 are considered. The dynamical adjustment is based on a morphokinetic model that incorporates sea-level along with other climate-change impacts. We employ Representative Concentration Pathways 2.6 and 8.5 without and with treatment of Antarctic Ice-sheet processes (known as K14 and K17) as different sea-level projections. It is important to note that we do not account for the occurrence probability of the earthquakes. Our results indicate that the tsunami run-up hazard for the dynamic case is approximately three times larger than for the static case. Furthermore, we show that nonlinear and complex responses of the barrier island-marsh-lagoon-marsh system to climate change profoundly impacts the tsunami hazard, and we caution that the tsunami run-up is sensitive to climate-change impacts that are less well-studied than sea-level rise. |
format |
Article in Journal/Newspaper |
author |
Robert Weiss Tina Dura Jennifer L. Irish |
author_facet |
Robert Weiss Tina Dura Jennifer L. Irish |
author_sort |
Robert Weiss |
title |
Modeling Coastal Environmental Change and the Tsunami Hazard |
title_short |
Modeling Coastal Environmental Change and the Tsunami Hazard |
title_full |
Modeling Coastal Environmental Change and the Tsunami Hazard |
title_fullStr |
Modeling Coastal Environmental Change and the Tsunami Hazard |
title_full_unstemmed |
Modeling Coastal Environmental Change and the Tsunami Hazard |
title_sort |
modeling coastal environmental change and the tsunami hazard |
publisher |
Frontiers Media S.A. |
publishDate |
2022 |
url |
https://doi.org/10.3389/fmars.2022.871794 https://doaj.org/article/dcb30719e040486cbb8645be6fce33a6 |
long_lat |
ENVELOPE(78.396,78.396,-68.431,-68.431) |
geographic |
Antarctic Barrier Island |
geographic_facet |
Antarctic Barrier Island |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_source |
Frontiers in Marine Science, Vol 9 (2022) |
op_relation |
https://www.frontiersin.org/articles/10.3389/fmars.2022.871794/full https://doaj.org/toc/2296-7745 2296-7745 doi:10.3389/fmars.2022.871794 https://doaj.org/article/dcb30719e040486cbb8645be6fce33a6 |
op_doi |
https://doi.org/10.3389/fmars.2022.871794 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
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1766274237724622848 |