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

doi:10.1007/978-981-15-1193-6_18

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 proceeding › Chapter (Book) › Other

1 Citation (Scopus)

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 language	English
Title of host publication	Lecture Notes in Civil Engineering
Publisher	Springer
Pages	161-168
Number of pages	8
DOIs	https://doi.org/10.1007/978-981-15-1193-6_18
Publication status	Published - 2020
Externally published	Yes
Event	International Conference on Architecture and Civil Engineering 2019 - Kuala Lumpur, Malaysia Duration: 26 Jun 2019 → 27 Jun 2019 Conference number: 3rd https://link.springer.com/book/10.1007/978-981-15-1193-6 (Proceedings)

Publication series

Name	Lecture Notes in Civil Engineering
Volume	59
ISSN (Print)	2366-2557
ISSN (Electronic)	2366-2565

Conference

Conference	International Conference on Architecture and Civil Engineering 2019
Abbreviated title	ICACE 2019
Country/Territory	Malaysia
City	Kuala Lumpur
Period	26/06/19 → 27/06/19
Internet address	https://link.springer.com/book/10.1007/978-981-15-1193-6 (Proceedings)

Keywords

Bootstrapping
Curve number
Inferential statistics
Runoff prediction

Access to Document

10.1007/978-981-15-1193-6_18

Cite this

@inbook{d55633e2f6cb430caf20cfaa60c4a687,

title = "New regional-specific urban runoff prediction model of Sungai Kayu Ara catchment in Malaysia",

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.",

keywords = "Bootstrapping, Curve number, Inferential statistics, Runoff prediction",

author = "Lloyd Ling and Chow, {Ming Fai} and Tan, {Wei Lun} and Tan, {Wen Jia} and Tan, {Cheng Yuan} and Zulkifli Yusop",

note = "Funding Information: Acknowledgements The authors would like to thank Universiti Tunku Abdul Rahman and Brunsfield International Group for their financial support in this study. This study was also supported by Universiti Teknologi Malaysia and Universiti Tenaga Nasional. The authors would also like to acknowledge the guidance from Professor Richard H. Hawkins (University of Arizona, USA) and Professor Ismail Abustan (USM) for sharing his research data. Funding Information: The authors would like to thank Universiti Tunku Abdul Rahman and Brunsfield International Group for their financial support in this study. This study was also supported by Universiti Teknologi Malaysia and Universiti Tenaga Nasional. The authors would also like to acknowledge the guidance from Professor Richard H. Hawkins (University of Arizona, USA) and Professor Ismail Abustan (USM) for sharing his research data. Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; International Conference on Architecture and Civil Engineering 2019, ICACE 2019 ; Conference date: 26-06-2019 Through 27-06-2019",

year = "2020",

doi = "10.1007/978-981-15-1193-6_18",

language = "English",

series = "Lecture Notes in Civil Engineering",

publisher = "Springer",

pages = "161--168",

booktitle = "Lecture Notes in Civil Engineering",

url = "https://link.springer.com/book/10.1007/978-981-15-1193-6",

}

Ling, L, Chow, MF, Tan, WL, Tan, WJ, Tan, CY & Yusop, Z 2020, New regional-specific urban runoff prediction model of Sungai Kayu Ara catchment in Malaysia. in Lecture Notes in Civil Engineering. Lecture Notes in Civil Engineering, vol. 59, Springer, pp. 161-168, International Conference on Architecture and Civil Engineering 2019, Kuala Lumpur, Malaysia, 26/06/19. https://doi.org/10.1007/978-981-15-1193-6_18

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T1 - New regional-specific urban runoff prediction model of Sungai Kayu Ara catchment in Malaysia

AU - Ling, Lloyd

AU - Chow, Ming Fai

AU - Tan, Wei Lun

AU - Tan, Wen Jia

AU - Tan, Cheng Yuan

AU - Yusop, Zulkifli

N1 - Conference code: 3rd

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Bootstrapping

KW - Curve number

KW - Inferential statistics

KW - Runoff prediction

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T3 - Lecture Notes in Civil Engineering

SP - 161

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BT - Lecture Notes in Civil Engineering

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T2 - International Conference on Architecture and Civil Engineering 2019

Y2 - 26 June 2019 through 27 June 2019

ER -

New regional-specific urban runoff prediction model of Sungai Kayu Ara catchment in Malaysia

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Keywords

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