c-HAND: near real-time coastal flood mapping
The Texas Gulf Coast region contains significant centers of population, infrastructure, and economy and is threatened by intensifying tropical storms. The flooding from these tropical storms often has multiple compounding drivers. This characteristic presents a complex numerical problem where a simu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Water |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frwa.2024.1329109/full |
| _version_ | 1797249280751173632 |
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| author | Mark Wang Paola Passalacqua Shukai Cai Clint Dawson |
| author_facet | Mark Wang Paola Passalacqua Shukai Cai Clint Dawson |
| author_sort | Mark Wang |
| collection | DOAJ |
| description | The Texas Gulf Coast region contains significant centers of population, infrastructure, and economy and is threatened by intensifying tropical storms. The flooding from these tropical storms often has multiple compounding drivers. This characteristic presents a complex numerical problem where a simulation must consider multiple hydrologic forcings. While several procedures exist for addressing this problem numerically, they tend to be resource-intensive and cannot be conducted in near real-time. We extend GeoFlood, a reduced physics approach for fluvial flood forecasting, to rapidly predict coastal and compound fluvial-coastal inundation. This method is validated against a numerical ocean circulation model (ADCIRC) simulation of Hurricane Ike, a major coastal flooding event that happened on the Texas Gulf Coast in 2008. We show that the inundation map generated by coastal HAND (c-HAND) has reasonable agreement with the ADCIRC simulation while taking about 1.7% of the time currently needed to run ADCIRC on a supercomputer. While our model correctly predicts 99% of ADCIRC-inundated DEM cells, it also overpredicts inundated area by a factor of approximately 27%. We combine c-HAND with the GeoFlood framework for fluvial flood forecasting to create a compound fluvial-coastal inundation mapping workflow that can be run in near real-time. c-HAND's fast wall-clock time and low CPU requirements can support decision making by first response personnel. The method provides timely and convenient access to crucial information, such as the locations of flooded roads and inundated coastal areas. |
| first_indexed | 2024-04-24T20:27:59Z |
| format | Article |
| id | doaj.art-69cd873f81f44d0e91223bd6ef2efd61 |
| institution | Directory Open Access Journal |
| issn | 2624-9375 |
| language | English |
| last_indexed | 2024-04-24T20:27:59Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Water |
| spelling | doaj.art-69cd873f81f44d0e91223bd6ef2efd612024-03-22T04:48:11ZengFrontiers Media S.A.Frontiers in Water2624-93752024-03-01610.3389/frwa.2024.13291091329109c-HAND: near real-time coastal flood mappingMark Wang0Paola Passalacqua1Shukai Cai2Clint Dawson3Center for Water and the Environment, Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, United StatesCenter for Water and the Environment, Maseeh Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX, United StatesComputational Hydraulics Group, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United StatesComputational Hydraulics Group, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United StatesThe Texas Gulf Coast region contains significant centers of population, infrastructure, and economy and is threatened by intensifying tropical storms. The flooding from these tropical storms often has multiple compounding drivers. This characteristic presents a complex numerical problem where a simulation must consider multiple hydrologic forcings. While several procedures exist for addressing this problem numerically, they tend to be resource-intensive and cannot be conducted in near real-time. We extend GeoFlood, a reduced physics approach for fluvial flood forecasting, to rapidly predict coastal and compound fluvial-coastal inundation. This method is validated against a numerical ocean circulation model (ADCIRC) simulation of Hurricane Ike, a major coastal flooding event that happened on the Texas Gulf Coast in 2008. We show that the inundation map generated by coastal HAND (c-HAND) has reasonable agreement with the ADCIRC simulation while taking about 1.7% of the time currently needed to run ADCIRC on a supercomputer. While our model correctly predicts 99% of ADCIRC-inundated DEM cells, it also overpredicts inundated area by a factor of approximately 27%. We combine c-HAND with the GeoFlood framework for fluvial flood forecasting to create a compound fluvial-coastal inundation mapping workflow that can be run in near real-time. c-HAND's fast wall-clock time and low CPU requirements can support decision making by first response personnel. The method provides timely and convenient access to crucial information, such as the locations of flooded roads and inundated coastal areas.https://www.frontiersin.org/articles/10.3389/frwa.2024.1329109/fullcoastal compound floodingHeight Above Nearest Drainage (HAND)real-time inundation mappingGeoFloodGeographic Information Systems (GIS) |
| spellingShingle | Mark Wang Paola Passalacqua Shukai Cai Clint Dawson c-HAND: near real-time coastal flood mapping Frontiers in Water coastal compound flooding Height Above Nearest Drainage (HAND) real-time inundation mapping GeoFlood Geographic Information Systems (GIS) |
| title | c-HAND: near real-time coastal flood mapping |
| title_full | c-HAND: near real-time coastal flood mapping |
| title_fullStr | c-HAND: near real-time coastal flood mapping |
| title_full_unstemmed | c-HAND: near real-time coastal flood mapping |
| title_short | c-HAND: near real-time coastal flood mapping |
| title_sort | c hand near real time coastal flood mapping |
| topic | coastal compound flooding Height Above Nearest Drainage (HAND) real-time inundation mapping GeoFlood Geographic Information Systems (GIS) |
| url | https://www.frontiersin.org/articles/10.3389/frwa.2024.1329109/full |
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