Publicação
Coastal morphodynamic emulator for early warning short-term forecasts
| Resumo: | The use of numerical models to anticipate the effects of floods and storms in coastal regions is essential to mitigate the damages of these natural disasters. However, local studies require high spatial and temporal resolution numerical models, limiting their use due to the involved high computational costs. This constraint becomes even more critical when these models are used for real-time monitoring and warning systems. Therefore, the objective of this paper was to reduce the computational time of coastal morphodynamic models simulations by implementing a deep learning emulator. The emulator performance was evaluated using different scenarios run with the XBeach software, which considered different grid resolutions and the effects of a storm event in the morphodynamic patterns around a breakwater and a groin. The morphodynamic simulation time was reduced by 23%, and it was identified that the major restriction to reducing the computational cost was the hydrodynamic numerical model simulation. |
|---|---|
| Autores principais: | Weber de Melo, Willian |
| Outros Autores: | Pinho, José L. S.; Iglesias, Isabel |
| Assunto: | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| Ano: | 2023 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| _version_ | 1867437980901179392 |
|---|---|
| author | Weber de Melo, Willian |
| author2 | Pinho, José L. S. Iglesias, Isabel |
| author2_role | author author |
| author_facet | Weber de Melo, Willian Pinho, José L. S. Iglesias, Isabel |
| author_role | author |
| contributor_name_str_mv | RepositóriUM - Universidade do Minho |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Weber de Melo, Willian\"},{\"Person.name\":\"Pinho, José L. S.\"},{\"Person.name\":\"Iglesias, Isabel\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | RepositóriUM - Universidade do Minho |
| datacite.creators.creator.creatorName.fl_str_mv | Weber de Melo, Willian Pinho, José L. S. Iglesias, Isabel |
| datacite.date.Accepted.fl_str_mv | 2023-07-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2023-10-10T14:47:03Z |
| datacite.date.embargoed.fl_str_mv | 2023-10-10T14:47:03Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| datacite.titles.title.fl_str_mv | Coastal morphodynamic emulator for early warning short-term forecasts |
| dc.contributor.none.fl_str_mv | RepositóriUM - Universidade do Minho |
| dc.creator.none.fl_str_mv | Weber de Melo, Willian Pinho, José L. S. Iglesias, Isabel |
| dc.date.Accepted.fl_str_mv | 2023-07-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2023-10-10T14:47:03Z |
| dc.date.embargoed.fl_str_mv | 2023-10-10T14:47:03Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://hdl.handle.net/1822/86779 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Elsevier Science |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.rights.rights.copyright.fl_str_mv | openAccess |
| dc.subject.none.fl_str_mv | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| dc.title.fl_str_mv | Coastal morphodynamic emulator for early warning short-term forecasts |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | The use of numerical models to anticipate the effects of floods and storms in coastal regions is essential to mitigate the damages of these natural disasters. However, local studies require high spatial and temporal resolution numerical models, limiting their use due to the involved high computational costs. This constraint becomes even more critical when these models are used for real-time monitoring and warning systems. Therefore, the objective of this paper was to reduce the computational time of coastal morphodynamic models simulations by implementing a deep learning emulator. The emulator performance was evaluated using different scenarios run with the XBeach software, which considered different grid resolutions and the effects of a storm event in the morphodynamic patterns around a breakwater and a groin. The morphodynamic simulation time was reduced by 23%, and it was identified that the major restriction to reducing the computational cost was the hydrodynamic numerical model simulation. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://repositorium.uminho.pt/bitstreams/11228743-19d1-41ed-b341-0376fbd94c83/download |
| id | rum_7faec28af3f4e63732f5b46e469d981b |
| identifier.url.fl_str_mv | https://hdl.handle.net/1822/86779 |
| instacron_str | repositorium |
| institution | Universidade do Minho |
| instname_str | Universidade do Minho |
| language | eng |
| network_acronym_str | rum |
| network_name_str | RepositóriUM - Universidade do Minho |
| oai_identifier_str | oai:repositorium.uminho.pt:1822/86779 |
| organization_str_mv | urn:organizationAcronym:repositorium |
| person_str_mv | Weber de Melo, Willian Pinho, José L. S. Iglesias, Isabel |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Elsevier Science |
| reponame_str | RepositóriUM - Universidade do Minho |
| repository_id_str | urn:repositoryAcronym:rum |
| service_str_mv | urn:repositoryAcronym:rum |
| spelling | engElsevier ScienceporThe use of numerical models to anticipate the effects of floods and storms in coastal regions is essential to mitigate the damages of these natural disasters. However, local studies require high spatial and temporal resolution numerical models, limiting their use due to the involved high computational costs. This constraint becomes even more critical when these models are used for real-time monitoring and warning systems. Therefore, the objective of this paper was to reduce the computational time of coastal morphodynamic models simulations by implementing a deep learning emulator. The emulator performance was evaluated using different scenarios run with the XBeach software, which considered different grid resolutions and the effects of a storm event in the morphodynamic patterns around a breakwater and a groin. The morphodynamic simulation time was reduced by 23%, and it was identified that the major restriction to reducing the computational cost was the hydrodynamic numerical model simulation.application/pdfporCoastal morphodynamic emulator for early warning short-term forecastsWeber de Melo, WillianPinho, José L. S.Iglesias, IsabelHostingInstitutionOrganizationalRepositóriUM - Universidade do Minhoe-mailmailto:repositorium@usdb.uminho.ptrepositorium@usdb.uminho.ptCITATIONWeber de Melo, W., Pinho, J., & Iglesias, I. (2023, July). Coastal morphodynamic emulator for early warning short-term forecasts. Environmental Modelling & Software. Elsevier BV. http://doi.org/10.1016/j.envsoft.2023.105729ISSNIsPartOf1364-8152DOIIsPartOf10.1016/j.envsoft.2023.1057292023-10-10T14:47:03Z2023-072023-10-10T14:34:21Z2023-07-01T00:00:00ZHandlehttps://hdl.handle.net/1822/86779http://purl.org/coar/access_right/c_abf2open accessDeep learningHydrodynamicsMorphodynamicsNumerical model emulatorTensorflowXBeachhttp://www.oecd.org/science/inno/38235147.pdfFields of Science and Technology (FOS)Engenharia e Tecnologia::Engenharia Civil6627775 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal article2023-07http://creativecommons.org/licenses/by/4.0/openAccesshttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://repositorium.uminho.pt/bitstreams/11228743-19d1-41ed-b341-0376fbd94c83/download |
| spellingShingle | Coastal morphodynamic emulator for early warning short-term forecasts Weber de Melo, Willian Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| status | SINGLETON |
| subject.fl_str_mv | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach |
| subject.other.fl_str_mv | Engenharia e Tecnologia::Engenharia Civil |
| title | Coastal morphodynamic emulator for early warning short-term forecasts |
| title_full | Coastal morphodynamic emulator for early warning short-term forecasts |
| title_fullStr | Coastal morphodynamic emulator for early warning short-term forecasts |
| title_full_unstemmed | Coastal morphodynamic emulator for early warning short-term forecasts |
| title_short | Coastal morphodynamic emulator for early warning short-term forecasts |
| title_sort | Coastal morphodynamic emulator for early warning short-term forecasts |
| topic | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| topic_facet | Deep learning Hydrodynamics Morphodynamics Numerical model emulator Tensorflow XBeach Engenharia e Tecnologia::Engenharia Civil |
| url | https://hdl.handle.net/1822/86779 |
| visible | 1 |