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Modelling runoff from permeable pavements: a link to the Curve Number method

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Modelling runoff from permeable pavements: a link to the Curve Number method

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dc.contributor.author Madrazo-Uribeetxebarria, Eneko es_ES
dc.contributor.author Garmendia Antín, Maddi es_ES
dc.contributor.author Almandoz-Berrondo, Jabier es_ES
dc.contributor.author Andrés-Doménech, Ignacio es_ES
dc.date.accessioned 2024-04-11T07:22:07Z
dc.date.available 2024-04-11T07:22:07Z
dc.date.issued 2023-01 es_ES
dc.identifier.issn 2073-4441 es_ES
dc.identifier.uri http://hdl.handle.net/10251/203294
dc.description.abstract [EN] Permeable Pavement (PP) models are valuable tools for studying the implementation of PPs in urban environments. However, the runoff simulated by traditional models such as the Curve Number (CN) is different from that created with PP models, as infiltration is computed differently. However, many investigations compare the runoff created by both models to extract broader conclusions without considering how the two models are related. Hence, this research explores the relation between runoff simulated by one general model, selecting the widespread CN model as a baseline, and the PP model provided in the Storm Water Management Model (SWMM). Correlation was set using the hydrograph created with the CN in a single event as a baseline and obtaining the best pavement permeability value from the PP model by calibration. The influence of storm depth, pavement slope, catchment shape, and PP type was also analysed. Calibration was conducted based on the Nash-Sutcliffe coefficient, but peak and volume performances were also studied. The results show that it is possible to link runoff hydrographs computed with the PP model to those created with the CN method, although that relation is not useful for the entire CN range. That relation is practical for CNs higher than 88 and shall be helpful for urban planners and researchers to compare several pervious/impervious scenarios in urban drainage models more robustly. One direct application is to compare the runoff computed by both models without changing the method that simulates runoff. It shall be enough to change a unique parameter that can be linked to a certain imperviousness by the CN. es_ES
dc.description.sponsorship This research was funded by the University of the Basque Country UPV/EHU grant number US22/10. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Water es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject SWMM es_ES
dc.subject Curve number es_ES
dc.subject Permeable pavement es_ES
dc.subject SUDS es_ES
dc.subject Urban hydrology es_ES
dc.subject Runoff hydrograph es_ES
dc.subject Infiltration es_ES
dc.subject.classification INGENIERIA HIDRAULICA es_ES
dc.title Modelling runoff from permeable pavements: a link to the Curve Number method es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/w15010160 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV/EHU//US22%2F10/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.description.bibliographicCitation Madrazo-Uribeetxebarria, E.; Garmendia Antín, M.; Almandoz-Berrondo, J.; Andrés-Doménech, I. (2023). Modelling runoff from permeable pavements: a link to the Curve Number method. Water. 15(1). https://doi.org/10.3390/w15010160 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/w15010160 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 15 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\480125 es_ES
dc.contributor.funder Universidad del País Vasco/Euskal Herriko Unibertsitatea es_ES
dc.subject.ods 06.- Garantizar la disponibilidad y la gestión sostenible del agua y el saneamiento para todos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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