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dc.contributor.authorHamouz, Vladimir
dc.contributor.authorPons, Vincent
dc.contributor.authorSivertsen, Edvard
dc.contributor.authorRaspati, Gema Sakti
dc.contributor.authorBertrand-Krajewski, Jean-Luc
dc.contributor.authorMuthanna, Tone Merete
dc.description.abstractRooftops cover a large percentage of land area in urban areas, which can potentially be used for stormwater purposes. Seeking adaptation strategies, there is an increasing interest in utilising green roofs for stormwater management. However, the impact of extreme rainfall on the hydrological performance of green roofs and their design implications remain challenging to quantify. In this study, a method was developed to assess the detention performance of a detention-based green roof (underlaid with 100 mm of expanded clay) for current and future climate conditions under extreme precipitation using an artificial rainfall generator. The green roof runoff was found to be more sensitive to the initial water content than the hyetograph shape. The green roof outperformed the black roof in terms of all performance indicators (time of concentration, centroid delay, T50 or peak attenuation). While the time of concentration for the reference black roof was within 5 minutes independently of rainfall intensity, for the green roof was extrapolated between 30 and 90 minutes with intensity from 0.8 to 2.5 mm/min. Adding a layer of expanded clay under the green roof substrate provided a significant improvement to the detention performance under extreme precipitation in current and future climate conditions.en_US
dc.publisherIWA Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleDetention-based green roofs for stormwater management under extreme precipitation due to climate changeen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.source.journalBlue-Green Systemsen_US
dc.relation.projectNorges forskningsråd: 237859en_US
dc.description.localcode© 2020 The Authors This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (

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