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Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation

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dc.contributor.author Williams, LL
dc.contributor.author Lück-Vogel, Melanie
dc.date.accessioned 2020-03-23T07:13:25Z
dc.date.available 2020-03-23T07:13:25Z
dc.date.issued 2020-03
dc.identifier.citation Williams, L.L. and Lück-Vogel, M. 2020. Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation. Journal of Coastal Conservation, vol. 24(23): https://doi.org/10.1007/s11852-020-00735-x en_US
dc.identifier.issn 1400-0350
dc.identifier.issn 1874-7841
dc.identifier.uri https://doi.org/10.1007/s11852-020-00735-x
dc.identifier.uri https://link.springer.com/article/10.1007/s11852-020-00735-x
dc.identifier.uri rdcu.be/b20Te
dc.identifier.uri http://hdl.handle.net/10204/11375
dc.description Copyright: Springer 2020. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, please consult the publisher's website: https://doi.org/10.1007/s11852-020-00735-x . A free fulltext non-print version of the article can be viewed at https://rdcu.be/b20Te en_US
dc.description.abstract Coastal zones are dynamic spaces where human activities and infrastructure are exposed to natural forces, climate change and extreme weather events such as storm surges. Coastal inundation is regarded as one of the most dangerous and destructive natural hazards, and while there are many studies to analyse these events, GIS based methods are limited. This research aimed at developing a GIS based enhanced Bathtub Model (eBTM) that improves on the widely used simple Bathtub Model (sBTM) to make it more appropriate to a storm surge related coastal inundation context. The eBTM incorporates beach slope, surface roughness and instils hydrological connectivity relevant for event scale coastal flooding, unlike the sBTM which only uses topographic elevation above sea level as input. For a test site in Cape Town, South Africa, inundation levels for 3 independent scenarios were calculated using the average spring tides level, extreme sea level for a 1-in-100-year storm and two sea-level rise scenarios. Each scenario was run on both the sBTM and the eBTM developed through this study. Comparing the results, the eBTM method overall produced more conservative inundation results and also produced less disconnected areas of (unrealistic) inundation. The eBTM also produces inundation water levels relative to structures, thus showing the potential for quantifying the coastal inundation risk to infrastructure, which is of relevance in the disaster response context. Additionally, the impact of using Digital Terrain Models (DTMs) instead of Digital Surface Models (DSM) on the inundation results was tested. The use of a DSM, including buildings and other objects, showed more realistic trajectories of the inundation water moving through the model area. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartofseries Worklist;23355
dc.subject Coastal zones en_US
dc.subject GIS based enhanced Bathtub Model en_US
dc.subject Coastal inundation en_US
dc.title Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation en_US
dc.type Article en_US
dc.identifier.apacitation Williams, L., & Lück-Vogel, M. (2020). Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation. http://hdl.handle.net/10204/11375 en_ZA
dc.identifier.chicagocitation Williams, LL, and Melanie Lück-Vogel "Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation." (2020) http://hdl.handle.net/10204/11375 en_ZA
dc.identifier.vancouvercitation Williams L, Lück-Vogel M. Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation. 2020; http://hdl.handle.net/10204/11375. en_ZA
dc.identifier.ris TY - Article AU - Williams, LL AU - Lück-Vogel, Melanie AB - Coastal zones are dynamic spaces where human activities and infrastructure are exposed to natural forces, climate change and extreme weather events such as storm surges. Coastal inundation is regarded as one of the most dangerous and destructive natural hazards, and while there are many studies to analyse these events, GIS based methods are limited. This research aimed at developing a GIS based enhanced Bathtub Model (eBTM) that improves on the widely used simple Bathtub Model (sBTM) to make it more appropriate to a storm surge related coastal inundation context. The eBTM incorporates beach slope, surface roughness and instils hydrological connectivity relevant for event scale coastal flooding, unlike the sBTM which only uses topographic elevation above sea level as input. For a test site in Cape Town, South Africa, inundation levels for 3 independent scenarios were calculated using the average spring tides level, extreme sea level for a 1-in-100-year storm and two sea-level rise scenarios. Each scenario was run on both the sBTM and the eBTM developed through this study. Comparing the results, the eBTM method overall produced more conservative inundation results and also produced less disconnected areas of (unrealistic) inundation. The eBTM also produces inundation water levels relative to structures, thus showing the potential for quantifying the coastal inundation risk to infrastructure, which is of relevance in the disaster response context. Additionally, the impact of using Digital Terrain Models (DTMs) instead of Digital Surface Models (DSM) on the inundation results was tested. The use of a DSM, including buildings and other objects, showed more realistic trajectories of the inundation water moving through the model area. DA - 2020-03 DB - ResearchSpace DP - CSIR KW - Coastal zones KW - GIS based enhanced Bathtub Model KW - Coastal inundation LK - https://researchspace.csir.co.za PY - 2020 SM - 1400-0350 SM - 1874-7841 T1 - Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation TI - Comparative assessment of the GIS based bathtub model and an enhanced bathtub model for coastal inundation UR - http://hdl.handle.net/10204/11375 ER - en_ZA


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