Show simple item record

dc.contributor.authorFerrans Ramírez, Pascual
dc.contributor.authorReyes Silva, Julian David
dc.contributor.authorKrebs, Peter
dc.contributor.authorTemprano, Javier
dc.date.accessioned2023-03-01T14:12:10Z
dc.date.available2023-03-01T14:12:10Z
dc.date.issued2023-01-20
dc.identifier.citationWater 15(3) : (2023) // Article ID 426es_ES
dc.identifier.issn2073-4441
dc.identifier.urihttp://hdl.handle.net/10810/60201
dc.description.abstractUrbanization 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.es_ES
dc.description.sponsorshipThis 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.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSUDSes_ES
dc.subjectflood reductiones_ES
dc.subjectmulti-objective optimizationes_ES
dc.subjectsustainable urban drainagees_ES
dc.subjecthydrodynamic modellinges_ES
dc.subjectSWMMes_ES
dc.titleFlood Management with SUDS: A Simulation–Optimization Frameworkes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2023-02-10T14:29:11Z
dc.rights.holder© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2073-4441/15/3/426es_ES
dc.identifier.doi10.3390/w15030426
dc.departamentoesIngeniería química y del medio ambiente
dc.departamentoeuIngeniaritza kimikoa eta ingurumenaren ingeniaritza


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).