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Modelling compound flooding at the Breede Estuary, South Africa

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dc.contributor.author Kupfer, S
dc.contributor.author Santamaria-Aguilar, S
dc.contributor.author Van Niekerk, Lara
dc.contributor.author Lück-Vogel, Melanie
dc.contributor.author Vafeidis, AT
dc.date.accessioned 2021-03-10T11:02:15Z
dc.date.available 2021-03-10T11:02:15Z
dc.date.issued 2020-10
dc.identifier.citation Kupfer, S., Santamaria-Aguilar, S., Van Niekerk, L., Lück-Vogel, M. & Vafeidis, A. 2020. Modelling compound flooding at the Breede Estuary, South Africa. http://hdl.handle.net/10204/11884 . en_ZA
dc.identifier.uri http://hdl.handle.net/10204/11884
dc.description.abstract Extreme coastal flooding along the South African coast can be caused by the co-occurrence of waves, storm surges and tides. Importantly, in low-lying areas such as estuaries, the additional influence of river discharge can further exacerbate flooding intensity. The CASISAC* project aims to assess these compound flood impacts on a local scale by modelling flood extents with input parameters generated from ocean and atmospheric models. In this study we model the flood extent and flood depth of compound flooding events, induced by high river discharge, large waves, storm surge and tides at the Breede Estuary, South Africa. We simulate compound flooding using the open source hydrodynamic model Delft3D by coupling the two modules FLOW and SWAN. The model input parameters are river discharge time series, observed tides, and modelled extreme water levels and waves. We use a high-resolution elevation model in combination with freely available global elevation data (MERIT) and bathymetry created by combining the freely available GEBCO dataset with nearshore bathymetric contour lines. We further analyse the influence of the individual flood drivers, i.e. coastal and river flooding, on flood extent and depth. Preliminary results show non-linear increases in flood characteristics when accounting for all flood drivers. We also observe that the combination of moderate intensity individual events can lead to extreme flooding. These results highlight that not accounting for compound flooding in coastal impact assessments may lead to the underestimation of flood impacts. en_US
dc.format Fulltext en_US
dc.language.iso en en_US
dc.source Coastal Hazards in Africa Conference, (virtual conference) Durban, South Africa, 27-29 Oct 2020 en_US
dc.subject Compound flooding en_US
dc.subject Estuaries en_US
dc.subject Breede River en_US
dc.subject Coastal flooding en_US
dc.subject Climate change en_US
dc.subject Coastal systems en_US
dc.subject Marine systems en_US
dc.subject Ecosystems processes en_US
dc.title Modelling compound flooding at the Breede Estuary, South Africa en_US
dc.type Conference Presentation en_US
dc.description.pages 11pp en_US
dc.description.note Presentation delivered at the Coastal Hazards in Africa Conference, (virtual conference), Durban, South Africa, 27-29 Oct 2020 en_US
dc.description.cluster Smart Places
dc.description.impactarea Coastal Systems
dc.identifier.apacitation Kupfer, S., Santamaria-Aguilar, S., Van Niekerk, L., Lück-Vogel, M., & Vafeidis, A. (2020). Modelling compound flooding at the Breede Estuary, South Africa. http://hdl.handle.net/10204/11884 en_ZA
dc.identifier.chicagocitation Kupfer, S, S Santamaria-Aguilar, Lara Van Niekerk, Melanie Lück-Vogel, and AT Vafeidis. "Modelling compound flooding at the Breede Estuary, South Africa." <i>Coastal Hazards in Africa Conference, (virtual conference) Durban, South Africa, 27-29 Oct 2020</i> (2020): http://hdl.handle.net/10204/11884 en_ZA
dc.identifier.vancouvercitation Kupfer S, Santamaria-Aguilar S, Van Niekerk L, Lück-Vogel M, Vafeidis A, Modelling compound flooding at the Breede Estuary, South Africa; 2020. http://hdl.handle.net/10204/11884 . en_ZA
dc.identifier.ris TY - Conference Presentation AU - Kupfer, S AU - Santamaria-Aguilar, S AU - Van Niekerk, Lara AU - Lück-Vogel, Melanie AU - Vafeidis, AT AB - Extreme coastal flooding along the South African coast can be caused by the co-occurrence of waves, storm surges and tides. Importantly, in low-lying areas such as estuaries, the additional influence of river discharge can further exacerbate flooding intensity. The CASISAC* project aims to assess these compound flood impacts on a local scale by modelling flood extents with input parameters generated from ocean and atmospheric models. In this study we model the flood extent and flood depth of compound flooding events, induced by high river discharge, large waves, storm surge and tides at the Breede Estuary, South Africa. We simulate compound flooding using the open source hydrodynamic model Delft3D by coupling the two modules FLOW and SWAN. The model input parameters are river discharge time series, observed tides, and modelled extreme water levels and waves. We use a high-resolution elevation model in combination with freely available global elevation data (MERIT) and bathymetry created by combining the freely available GEBCO dataset with nearshore bathymetric contour lines. We further analyse the influence of the individual flood drivers, i.e. coastal and river flooding, on flood extent and depth. Preliminary results show non-linear increases in flood characteristics when accounting for all flood drivers. We also observe that the combination of moderate intensity individual events can lead to extreme flooding. These results highlight that not accounting for compound flooding in coastal impact assessments may lead to the underestimation of flood impacts. DA - 2020-10 DB - ResearchSpace DP - CSIR J1 - Coastal Hazards in Africa Conference, (virtual conference) Durban, South Africa, 27-29 Oct 2020 KW - Compound flooding KW - Estuaries KW - Breede River KW - Coastal flooding KW - Climate change KW - Coastal systems KW - Marine systems KW - Ecosystems processes LK - https://researchspace.csir.co.za PY - 2020 T1 - Modelling compound flooding at the Breede Estuary, South Africa TI - Modelling compound flooding at the Breede Estuary, South Africa UR - http://hdl.handle.net/10204/11884 ER - en_ZA
dc.identifier.worklist 24354 en_US


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