Strategies for modelling roofs on large-scale urban drainage models focusing on data completeness

UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Civiles_ES
UDC.grupoInvEnxeñaría da Auga e do Medio Ambiente (GEAMA)es_ES
UDC.institutoCentroCITEEC - Centro de Innovación Tecnolóxica en Edificación e Enxeñaría Civiles_ES
dc.contributor.authorMontalvo Montenegro, Carlos Israel
dc.contributor.authorSañudo, Esteban
dc.contributor.authorCea, Luis
dc.contributor.authorChen, Albert S.
dc.contributor.authorPuertas, Jerónimo
dc.contributor.authorEvans, Barry
dc.date.accessioned2025-03-10T14:52:19Z
dc.date.available2025-03-10T14:52:19Z
dc.date.issued2024
dc.descriptionPreprint de: http://hdl.handle.net/2183/41334es_ES
dc.description.abstract[Abstract:] Impermeable surfaces such as roofs play a key role in urban pluvial floods due to the rapid transfer of rainfall to drainage networks, contributing to system overloading. This study proposes and evaluates different modelling strategies within large-scale urban drainage models, exploring simplified approaches for roof geometry and roof-to-manhole connections. The results indicate that, regardless of the methodology used to estimate roof width, the differences become negligible if the discharge point is distant. Additionally, for a contributing area of roofs discharging upstream to a manhole, the method of roof-to-manhole connection does not have a significant influence, which demonstrates the potential of these strategies to streamline the modelling process without compromising the reliability of the simulations. The findings highlight the feasibility of applying these modelling strategies in situations where data completeness is not feasible, offering a balanced solution between model complexity and accuracy.es_ES
dc.description.sponsorshipThis project has received financial support from the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033) within the project “SATURNO: Early warning against pluvial flooding in urban areas” (PID2020-118368RB-I00) and the FPI predoctoral grant from the Spanish Ministry of Science, Innovation, and Universities (PRE2021-098425). The contract of Esteban Sañudo is funded by the project “DRAIN - Digital RAIN. An Integrated Urban Drainage Model” (CPP2021-008756) funded by MICIU/AEI/ 10.13039/501100011033 and by the “European Union NextGenerationEU/PRTR” and the author also acknowledges the support of the INDITEX-UDC 2021 and 2022 Predoctoral Grants.es_ES
dc.identifier.citationC. Montalvo, E. Sañudo, L. Cea, A.S. Chen, J. Puertas, B. Evans. (2025). Strategies for modelling roofs on large-scale urban drainage models focusing on data completeness. Preprint de: https://doi.org/10.1016/j.uclim.2025.102362es_ES
dc.identifier.urihttp://hdl.handle.net/2183/41342
dc.language.isoenges_ES
dc.relation.isversionofhttp://hdl.handle.net/2183/41334
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118368RB-I00/ES/SISTEMAS DE ALERTA TEMPRANA FRENTE A INUNDACIONES PLUVIALES EN ENTORNOS URBANOSes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PRE2021-098425es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CPP2021-008756/ES/DRAIN Digital RAIN, un modelo integral de drenaje urbanoes_ES
dc.relation.urihttps://doi.org/10.1016/j.uclim.2025.102362es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectRoofes_ES
dc.subjectData completenesses_ES
dc.subject2D-1D dual drainagees_ES
dc.subjectIberes_ES
dc.subjectSWMMes_ES
dc.titleStrategies for modelling roofs on large-scale urban drainage models focusing on data completenesses_ES
dc.typepreprintes_ES
dspace.entity.typePublication
relation.isAuthorOfPublication96fa0743-4159-4fa1-9ae5-e175b8c0093d
relation.isAuthorOfPublication46faeb01-7051-4ad3-bf4e-22424dbe14fc
relation.isAuthorOfPublicationd914d106-6715-40cf-b743-1e240f37dc94
relation.isAuthorOfPublication77acd780-2dc6-4b86-a32f-60c2c75b86c4
relation.isAuthorOfPublication.latestForDiscovery96fa0743-4159-4fa1-9ae5-e175b8c0093d

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