Publication:
New Regional-Specific Urban Runoff Prediction Model of Sungai Kayu Ara Catchment in Malaysia

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dc.citedby1
dc.contributor.authorLing L.en_US
dc.contributor.authorChow M.F.en_US
dc.contributor.authorTan W.L.en_US
dc.contributor.authorTan W.J.en_US
dc.contributor.authorTan C.Y.en_US
dc.contributor.authorYusop Z.en_US
dc.contributor.authorid56203785300en_US
dc.contributor.authorid57214146115en_US
dc.contributor.authorid55804400500en_US
dc.contributor.authorid57211825201en_US
dc.contributor.authorid57217700001en_US
dc.contributor.authorid6507841909en_US
dc.date.accessioned2023-05-29T08:13:58Z
dc.date.available2023-05-29T08:13:58Z
dc.date.issued2020
dc.descriptionApplication programs; Catchments; Floods; Rain; Sewage; Bootstrapping; Curve numbers; Drainage infrastructure; Inferential statistics; Rainfall-runoff characteristics; Rainfall-runoff events; Rainfall-runoff modeling; Runoff prediction; Runoffen_US
dc.description.abstractMalaysian government agencies adopted curve number (CN) rainfall-runoff model for design use like many other commercial software applications, while most researchers have adopted CN values from its published handbook from USA. However, there is no regional-specific curve numbers handbook in Malaysia for the rainfall-runoff predictive modelling. This study did not refer to any CN value but derived a statistically significant CN value with rainfall-runoff events directly. The derived ? = 0.0002 is statistically significant (? = 0.01), while the optimum CN value of 92.95 represents the rainfall-runoff characteristic at the Sungai Kayu Ara catchment. The runoff predictive model estimated an averaged flood depth of 7.46�cm from 100�mm rainfall event when the drainage infrastructure fails to drain away the runoff volume effectively. It is recommended to limit the upstream development, while rainwater harvesting, storm water retention, and detention facilities should be constructed to curb the urban flash flooding at the Sungai Kayu Ara catchment. � Springer Nature Singapore Pte Ltd 2020.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-15-1193-6_18
dc.identifier.epage168
dc.identifier.scopus2-s2.0-85080854568
dc.identifier.spage161
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85080854568&doi=10.1007%2f978-981-15-1193-6_18&partnerID=40&md5=a2fdc040ae5e0e4eaf6ad4902b2561c9
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25762
dc.identifier.volume59
dc.publisherSpringeren_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Civil Engineering
dc.titleNew Regional-Specific Urban Runoff Prediction Model of Sungai Kayu Ara Catchment in Malaysiaen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
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