Publication:
The effect of green roof configurations on runoff retention performance

dc.citedby1
dc.contributor.authorChow M.F.en_US
dc.contributor.authorBakar M.F.A.en_US
dc.contributor.authorSidek L.M.en_US
dc.contributor.authorBasri H.en_US
dc.contributor.authorid57214146115en_US
dc.contributor.authorid57199742143en_US
dc.contributor.authorid35070506500en_US
dc.contributor.authorid57065823300en_US
dc.date.accessioned2023-05-29T06:56:42Z
dc.date.available2023-05-29T06:56:42Z
dc.date.issued2018
dc.description.abstractThis study focused on the runoff retention performance within extensive green roof system with respect to different native plant species and configurations in Malaysia. A total of four green roofs were constructed with two configurations (with drainage and without drainage layers) and each test bed was planted with Portulaca grandiflora cultivars (sedum) and Axonopus compressus (cow grass), respectively. The runoff volume was measured volumetrically and water retention percentage was calculated for four monitored events at each green roof configurations. Results showed that sedum was the most effective native plant species in retaining runoff water. The green roof configuration with sedum planted in substrate and layers performed the best runoff retention efficiency in Malaysia. � Medwell Journals, 2018.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3923/jeasci.2018.3183.3187
dc.identifier.epage3187
dc.identifier.issueSpecialissue3
dc.identifier.scopus2-s2.0-85049915708
dc.identifier.spage3183
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049915708&doi=10.3923%2fjeasci.2018.3183.3187&partnerID=40&md5=70e39cbd659df503bbd28562f987ae02
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24192
dc.identifier.volume13
dc.publisherMedwell Journalsen_US
dc.sourceScopus
dc.sourcetitleJournal of Engineering and Applied Sciences
dc.titleThe effect of green roof configurations on runoff retention performanceen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections