Flood Management with SUDS: A Simulation-Optimization Framework

ABSTRACT: Urbanization and climate change are the main driving force in the development of sustainable strategies for managing water in cities, such as sustainable urban drainage systems (SUDS). Previous studies have identified the necessity to develop decision-making tools for SUDS in order to adeq...

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Autores: Ferrans, Pascual, Reyes Silva, Julián David, Krebs, Peter, Temprano González, Javier|||0000-0002-2294-6417
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/27751
Acceso en línea:https://hdl.handle.net/10902/27751
Access Level:acceso abierto
Palabra clave:SUDS
Flood reduction
Multi-objective optimization
Sustainable urban drainage
Hydrodynamic modelling
SWMM
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spelling Flood Management with SUDS: A Simulation-Optimization FrameworkFerrans, PascualReyes Silva, Julián DavidKrebs, PeterTemprano González, Javier|||0000-0002-2294-6417SUDSFlood reductionMulti-objective optimizationSustainable urban drainageHydrodynamic modellingSWMMABSTRACT: Urbanization and climate change are the main driving force in the development of sustainable strategies for managing water in cities, such as sustainable urban drainage systems (SUDS). Previous studies have identified the necessity to develop decision-making tools for SUDS in order to adequately implement these structures. This study proposes a simulation?optimization methodology that aims to ease the decision-making process when selecting and placing SUDS, with the specific goal of managing urban flooding. The methodology was applied to a real case study in Dresden, Germany. The most relevant variables when selecting SUDS were the spatial distribution of floods and the land uses in the catchment. Furthermore, the rainfall characteristics played an important role when selecting the different SUDS configurations. After the optimal SUDS configurations were determined, flood maps were developed, identifying the high potential that SUDS have for reducing flood volumes and depth, but showing them to be quite limited in reducing the flooded areas. The final section of the study proposes a combined frequency map of SUDS implementation, which is suggested for use as a final guide for the present study. The study successfully implemented a novel methodology that included land-use patterns and flood indicators to select SUDS in a real case study.This research was funded by ICETEX, grant number 5334506, granted to the first author. This research was funded by the German Federal Ministry of Education and Research, grant number 01LR2005A.MDPIUniversidad de Cantabria20232023-02-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/27751Water, 2023, 15(3), 426reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/277512026-06-02T12:39:31Z
dc.title.none.fl_str_mv Flood Management with SUDS: A Simulation-Optimization Framework
title Flood Management with SUDS: A Simulation-Optimization Framework
spellingShingle Flood Management with SUDS: A Simulation-Optimization Framework
Ferrans, Pascual
SUDS
Flood reduction
Multi-objective optimization
Sustainable urban drainage
Hydrodynamic modelling
SWMM
title_short Flood Management with SUDS: A Simulation-Optimization Framework
title_full Flood Management with SUDS: A Simulation-Optimization Framework
title_fullStr Flood Management with SUDS: A Simulation-Optimization Framework
title_full_unstemmed Flood Management with SUDS: A Simulation-Optimization Framework
title_sort Flood Management with SUDS: A Simulation-Optimization Framework
dc.creator.none.fl_str_mv Ferrans, Pascual
Reyes Silva, Julián David
Krebs, Peter
Temprano González, Javier|||0000-0002-2294-6417
author Ferrans, Pascual
author_facet Ferrans, Pascual
Reyes Silva, Julián David
Krebs, Peter
Temprano González, Javier|||0000-0002-2294-6417
author_role author
author2 Reyes Silva, Julián David
Krebs, Peter
Temprano González, Javier|||0000-0002-2294-6417
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv SUDS
Flood reduction
Multi-objective optimization
Sustainable urban drainage
Hydrodynamic modelling
SWMM
topic SUDS
Flood reduction
Multi-objective optimization
Sustainable urban drainage
Hydrodynamic modelling
SWMM
description ABSTRACT: Urbanization and climate change are the main driving force in the development of sustainable strategies for managing water in cities, such as sustainable urban drainage systems (SUDS). Previous studies have identified the necessity to develop decision-making tools for SUDS in order to adequately implement these structures. This study proposes a simulation?optimization methodology that aims to ease the decision-making process when selecting and placing SUDS, with the specific goal of managing urban flooding. The methodology was applied to a real case study in Dresden, Germany. The most relevant variables when selecting SUDS were the spatial distribution of floods and the land uses in the catchment. Furthermore, the rainfall characteristics played an important role when selecting the different SUDS configurations. After the optimal SUDS configurations were determined, flood maps were developed, identifying the high potential that SUDS have for reducing flood volumes and depth, but showing them to be quite limited in reducing the flooded areas. The final section of the study proposes a combined frequency map of SUDS implementation, which is suggested for use as a final guide for the present study. The study successfully implemented a novel methodology that included land-use patterns and flood indicators to select SUDS in a real case study.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/27751
url https://hdl.handle.net/10902/27751
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv Water, 2023, 15(3), 426
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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