Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach
Abstract Low‐gradient coastal watersheds are susceptible to flooding caused by various flows such as rainfall‐runoff, astronomical tides, storm surges, and riverine flows. Compound flooding occurs when at least one coastal flood driver occurs simultaneously or in close succession with a pluvial and/...
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| Format: | Article |
| Language: | English |
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Wiley
2024-05-01
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| Series: | Water Resources Research |
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| Online Access: | https://doi.org/10.1029/2023WR035718 |
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| author | Félix L. Santiago‐Collazo Matthew V. Bilskie Peter Bacopoulos Scott C. Hagen |
| author_facet | Félix L. Santiago‐Collazo Matthew V. Bilskie Peter Bacopoulos Scott C. Hagen |
| author_sort | Félix L. Santiago‐Collazo |
| collection | DOAJ |
| description | Abstract Low‐gradient coastal watersheds are susceptible to flooding caused by various flows such as rainfall‐runoff, astronomical tides, storm surges, and riverine flows. Compound flooding occurs when at least one coastal flood driver occurs simultaneously or in close succession with a pluvial and/or fluvial flood driver, such as during a tropical cyclone event. This study presents a one‐dimensional (1‐D), reduced‐order physics compound inundation model tested over an idealized coastal watershed transect under various forcing conditions (e.g., coastal and pluvial) that varied in magnitude, time, and space. This study aims to evaluate each flooding mechanism and the associated hydrodynamic responses by performing a sensitivity analysis and developing a non‐linear equation that could correlate the flood drivers with the severity of its flood. Compound inundation levels are affected by the magnitude and timing of each flooding mechanism. Results highlight the need to consider momentum exchange during a compound event and the importance of reduced‐physics approaches that can improve the interaction between flood drivers when paired with a moving coupling node approach. The desire is a more holistic compound inundation model that can be a critical tool for decision‐makers, stakeholders, and authorities who provide evacuation planning to save human lives and enhance resilience. |
| format | Article |
| id | doaj-art-3d593754c0aa43cd9b0695c40633e079 |
| institution | OA Journals |
| issn | 0043-1397 1944-7973 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Water Resources Research |
| spelling | doaj-art-3d593754c0aa43cd9b0695c40633e0792025-08-20T02:09:31ZengWileyWater Resources Research0043-13971944-79732024-05-01605n/an/a10.1029/2023WR035718Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics ApproachFélix L. Santiago‐Collazo0Matthew V. Bilskie1Peter Bacopoulos2Scott C. Hagen3School of Environmental, Civil, Agricultural, and Mechanical Engineering University of Georgia Athens GA USASchool of Environmental, Civil, Agricultural, and Mechanical Engineering University of Georgia Athens GA USACoastal Ecosystem Design Studio Louisiana State University Baton Rouge LA USACoastal Ecosystem Design Studio Louisiana State University Baton Rouge LA USAAbstract Low‐gradient coastal watersheds are susceptible to flooding caused by various flows such as rainfall‐runoff, astronomical tides, storm surges, and riverine flows. Compound flooding occurs when at least one coastal flood driver occurs simultaneously or in close succession with a pluvial and/or fluvial flood driver, such as during a tropical cyclone event. This study presents a one‐dimensional (1‐D), reduced‐order physics compound inundation model tested over an idealized coastal watershed transect under various forcing conditions (e.g., coastal and pluvial) that varied in magnitude, time, and space. This study aims to evaluate each flooding mechanism and the associated hydrodynamic responses by performing a sensitivity analysis and developing a non‐linear equation that could correlate the flood drivers with the severity of its flood. Compound inundation levels are affected by the magnitude and timing of each flooding mechanism. Results highlight the need to consider momentum exchange during a compound event and the importance of reduced‐physics approaches that can improve the interaction between flood drivers when paired with a moving coupling node approach. The desire is a more holistic compound inundation model that can be a critical tool for decision‐makers, stakeholders, and authorities who provide evacuation planning to save human lives and enhance resilience.https://doi.org/10.1029/2023WR035718compound floodnumerical modelingidealized domaincoastal watershedrainfall‐runoffstorm surge |
| spellingShingle | Félix L. Santiago‐Collazo Matthew V. Bilskie Peter Bacopoulos Scott C. Hagen Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach Water Resources Research compound flood numerical modeling idealized domain coastal watershed rainfall‐runoff storm surge |
| title | Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach |
| title_full | Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach |
| title_fullStr | Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach |
| title_full_unstemmed | Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach |
| title_short | Compound Inundation Modeling of a 1‐D Idealized Coastal Watershed Using a Reduced‐Physics Approach |
| title_sort | compound inundation modeling of a 1 d idealized coastal watershed using a reduced physics approach |
| topic | compound flood numerical modeling idealized domain coastal watershed rainfall‐runoff storm surge |
| url | https://doi.org/10.1029/2023WR035718 |
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