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

Lloyd Ling, Ming Fai Chow, Wei Lun Tan, Wen Jia Tan, Cheng Yuan Tan, Zulkifli Yusop

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Malaysian 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 λ = 0.0002 is statistically significant (α = 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.

Original languageEnglish
Title of host publicationLecture Notes in Civil Engineering
PublisherSpringer
Pages161-168
Number of pages8
DOIs
Publication statusPublished - 01 Jan 2020

Publication series

NameLecture Notes in Civil Engineering
Volume59
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

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All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering

Cite this

Ling, L., Chow, M. F., Tan, W. L., Tan, W. J., Tan, C. Y., & Yusop, Z. (2020). New Regional-Specific Urban Runoff Prediction Model of Sungai Kayu Ara Catchment in Malaysia. In Lecture Notes in Civil Engineering (pp. 161-168). (Lecture Notes in Civil Engineering; Vol. 59). Springer. https://doi.org/10.1007/978-981-15-1193-6_18