Cargando…

Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale

This paper deals with the simulation of inundated areas for a region of 84,000 km(2) from estimated flood discharges at a resolution of 2 m. We develop a modeling framework that enables efficient parallel processing of the project region by splitting it into simulation tiles. For each simulation til...

Descripción completa

Detalles Bibliográficos
Autores principales: Buttinger‐Kreuzhuber, Andreas, Waser, Jürgen, Cornel, Daniel, Horváth, Zsolt, Konev, Artem, Wimmer, Michael H., Komma, Jürgen, Blöschl, Günter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287089/
https://www.ncbi.nlm.nih.gov/pubmed/35864820
http://dx.doi.org/10.1029/2021WR030820
_version_ 1784748173612285952
author Buttinger‐Kreuzhuber, Andreas
Waser, Jürgen
Cornel, Daniel
Horváth, Zsolt
Konev, Artem
Wimmer, Michael H.
Komma, Jürgen
Blöschl, Günter
author_facet Buttinger‐Kreuzhuber, Andreas
Waser, Jürgen
Cornel, Daniel
Horváth, Zsolt
Konev, Artem
Wimmer, Michael H.
Komma, Jürgen
Blöschl, Günter
author_sort Buttinger‐Kreuzhuber, Andreas
collection PubMed
description This paper deals with the simulation of inundated areas for a region of 84,000 km(2) from estimated flood discharges at a resolution of 2 m. We develop a modeling framework that enables efficient parallel processing of the project region by splitting it into simulation tiles. For each simulation tile, the framework automatically calculates all input data and boundary conditions required for the hydraulic simulation on‐the‐fly. A novel method is proposed that ensures regionally consistent flood peak probabilities. Instead of simulating individual events, the framework simulates effective hydrographs consistent with the flood quantiles by adjusting streamflow at river nodes. The model accounts for local effects from buildings, culverts, levees, and retention basins. The two‐dimensional full shallow water equations are solved by a second‐order accurate scheme for all river reaches in Austria with catchment sizes over 10 km(2), totaling 33,380 km. Using graphics processing units (GPUs), a single NVIDIA Titan RTX simulates a period of 3 days for a tile with 50 million wet cells in less than 3 days. We find good agreement between simulated and measured stage–discharge relationships at gauges. The simulated flood hazard maps also compare well with local high‐quality flood maps, achieving critical success index scores of 0.6–0.79.
format Online
Article
Text
id pubmed-9287089
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-92870892022-07-19 Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale Buttinger‐Kreuzhuber, Andreas Waser, Jürgen Cornel, Daniel Horváth, Zsolt Konev, Artem Wimmer, Michael H. Komma, Jürgen Blöschl, Günter Water Resour Res Research Article This paper deals with the simulation of inundated areas for a region of 84,000 km(2) from estimated flood discharges at a resolution of 2 m. We develop a modeling framework that enables efficient parallel processing of the project region by splitting it into simulation tiles. For each simulation tile, the framework automatically calculates all input data and boundary conditions required for the hydraulic simulation on‐the‐fly. A novel method is proposed that ensures regionally consistent flood peak probabilities. Instead of simulating individual events, the framework simulates effective hydrographs consistent with the flood quantiles by adjusting streamflow at river nodes. The model accounts for local effects from buildings, culverts, levees, and retention basins. The two‐dimensional full shallow water equations are solved by a second‐order accurate scheme for all river reaches in Austria with catchment sizes over 10 km(2), totaling 33,380 km. Using graphics processing units (GPUs), a single NVIDIA Titan RTX simulates a period of 3 days for a tile with 50 million wet cells in less than 3 days. We find good agreement between simulated and measured stage–discharge relationships at gauges. The simulated flood hazard maps also compare well with local high‐quality flood maps, achieving critical success index scores of 0.6–0.79. John Wiley and Sons Inc. 2022-07-01 2022-07 /pmc/articles/PMC9287089/ /pubmed/35864820 http://dx.doi.org/10.1029/2021WR030820 Text en © 2022. The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Buttinger‐Kreuzhuber, Andreas
Waser, Jürgen
Cornel, Daniel
Horváth, Zsolt
Konev, Artem
Wimmer, Michael H.
Komma, Jürgen
Blöschl, Günter
Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title_full Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title_fullStr Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title_full_unstemmed Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title_short Locally Relevant High‐Resolution Hydrodynamic Modeling of River Floods at the Regional Scale
title_sort locally relevant high‐resolution hydrodynamic modeling of river floods at the regional scale
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287089/
https://www.ncbi.nlm.nih.gov/pubmed/35864820
http://dx.doi.org/10.1029/2021WR030820
work_keys_str_mv AT buttingerkreuzhuberandreas locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT waserjurgen locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT corneldaniel locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT horvathzsolt locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT konevartem locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT wimmermichaelh locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT kommajurgen locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale
AT bloschlgunter locallyrelevanthighresolutionhydrodynamicmodelingofriverfloodsattheregionalscale