A Visual-Scenario-Based Environmental Analysis Approach to the Model-Based Management of Water Extremes in Urban Regions

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dc.contributor.authorSen, Özgür Ozanen_US
dc.contributor.authorBackhaus, Larsen_US
dc.contributor.authorFarrokhzadeh, Siamaken_US
dc.contributor.authorGraebling, Nicoen_US
dc.contributor.authorGuemar, Saraen_US
dc.contributor.authorKiszkurno, Feliksen_US
dc.contributor.authorKrebs, Peteren_US
dc.contributor.authorNovoa, Diegoen_US
dc.contributor.authorStamm, Jürgenen_US
dc.contributor.authorKolditz, Olafen_US
dc.contributor.authorRink, Karstenen_US
dc.contributor.editorDutta, Soumyaen_US
dc.contributor.editorFeige, Kathrinen_US
dc.contributor.editorRink, Karstenen_US
dc.contributor.editorZeckzer, Dirken_US
dc.date.accessioned2023-06-10T06:06:21Z
dc.date.available2023-06-10T06:06:21Z
dc.date.issued2023
dc.description.abstractDue to the present climate crisis, the increasing frequency of the water extreme events around urban regions in river basins may result in drastic losses. One of the most effective preventive measures is a prior analysis of the eventual effects to comprehend the future risks of such water extremes. As well as analysis of historical impacts, the model-based management of water extremes have also a crucial role. Therefore, we present a 3-dimensional visual-scenario-based environmental analysis framework by utilising a Virtual Geographic Environment for the visualisation and the exploration of model-based management of hydrological events in urban regions. Within the study, we focused on the City of Dresden in eastern Germany located in the basin of the Elbe River. We integrated a large set of historical observation data and the results of numerical simulations to explore the consequences of modelled heavy precipitation events within different scenarios. Utilising a framework developed in Unity, the resulting visualisation of different scenarios dealing with water extremes simulated with coupled numerical models constitute the overall focus of this particular study. The resulting application is intended as a collaboration platform in terms of the knowledge transfer among domain scientists, stakeholders and the interested public.en_US
dc.description.sectionheadersUrban Planning and Renaturation
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.identifier.doi10.2312/envirvis.20231106
dc.identifier.isbn978-3-03868-223-3
dc.identifier.pages51-59
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/envirvis.20231106
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/envirvis20231106
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Virtual reality; Information systems -> Geographic information systems
dc.subjectComputing methodologies
dc.subjectVirtual reality
dc.subjectInformation systems
dc.subjectGeographic information systems
dc.titleA Visual-Scenario-Based Environmental Analysis Approach to the Model-Based Management of Water Extremes in Urban Regionsen_US
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