2024 CSDMS meeting-054: Difference between revisions
(Created page with "{{CSDMS meeting personal information template-2024 |CSDMS meeting first name=Sebastian |CSDMS meeting last name=Nash |CSDMS meeting institute=Pontificia Universidad Catolica de Chile |CSDMS meeting city=Santiago |CSDMS meeting country=Chile |CSDMS meeting email address=sanash@uc.cl }} {{CSDMS meeting select clinics1 2024 |CSDMS_meeting_select_clinics1_2024=5) Coastal evolution analysis and inundation modeling with GRASS GIS }} {{CSDMS meeting select clinics2 2024 |CSDMS_...") |
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Latest revision as of 09:05, 22 March 2024
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Browse abstracts
On the impact of coastline anthropogenic geomorphological alterations on flood hazards and upscaling potential for coupled systems.
Additionally, an upscaling methodology based on porosity is presented for an urban flood simulation in Santiago de Chile, adjacent to the Andean foothills. In this model, topographic information is included at the subgrid-level to optimize CPU time at the cost of some loss in the accuracy of the results. We analyze how accuracy is affected by gradually increasing grid resolution, specifically when estimating flood extent and associated hazards. Results suggest that the cell size can be increased up to the street width, capturing the main flow paths and hazards while significantly reducing the CPU time employed by classical models.
The integration of an upscaling scheme to model concentrated flows coupled with surface dynamics is particularly valuable for comprehensively assessing flood hazards, meeting real-time decision-making needs.