Feasible ranges of runoff curve numbers for Korean watersheds based on the interior point optimization algorithm

Jin Young Lee; Nam Won Kim; Tae Woong Kim; Muhammad Jehanzaib

doi:10.1007/s12205-019-0901-9

Feasible ranges of runoff curve numbers for Korean watersheds based on the interior point optimization algorithm

Jin Young Lee, Nam Won Kim, Tae Woong Kim, Muhammad Jehanzaib^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

Rainfall runoff is a complex phenomenon in nature. It differs from place to place due to different topographical features and rainfall patterns. The Natural Resources Conservation Service - Curve Number (NRCS-CN) is a well-adopted model to account for direct runoff volume from storm events. There are several studies on determining the initial abstraction and the CN from observed rainfall-runoff data; however, few studies demonstrate their statistical characteristics. The major aim of this study is to determine the feasible range and the confidence intervals of the CN. We examined 660 rainfall-runoff events collected from six medium sized watersheds in South Korea. The interior point optimization algorithm was adopted to ascertain the optimum value of CN and the initial abstraction coefficient (λ). The obtained results show that the CN value ranged from 45 to 90 and the average λ = 0.12 was best suited for Korean watersheds. The estimated confidence intervals were highly significant and strongly recommended for Korean watersheds.

Original language	English
Pages (from-to)	5257-5265
Number of pages	9
Journal	KSCE Journal of Civil Engineering
Volume	23
Issue number	12
Early online date	12 Nov 2019
DOIs	https://doi.org/10.1007/s12205-019-0901-9
Publication status	Published - 01 Dec 2019
Externally published	Yes

Bibliographical note

Funding Information:
This research was supported by grants from the Strategic Research Project (20180374-101) funded by the Korea Institute of Civil Engineering and Building Technology and the Disaster and Safety Management Institute (MOIS-DP-2015-05) funded by Ministry of the Interior and Safety of Korean Government. The corresponding author would like to acknowledge the Higher Education Commission (HEC) of Pakistan and the Government of Pakistan for granting a scholarship to Muhammad Jehanzaib to pursue his PhD degree from Hanyang University, South Korea.

Publisher Copyright:
© 2019, Korean Society of Civil Engineers.

Keywords

confidence interval
initial abstraction
interior point optimization
NRCS-curve number

ASJC Scopus subject areas

Civil and Structural Engineering

Access to Document

10.1007/s12205-019-0901-9Licence: Unspecified

Cite this

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title = "Feasible ranges of runoff curve numbers for Korean watersheds based on the interior point optimization algorithm",

abstract = "Rainfall runoff is a complex phenomenon in nature. It differs from place to place due to different topographical features and rainfall patterns. The Natural Resources Conservation Service - Curve Number (NRCS-CN) is a well-adopted model to account for direct runoff volume from storm events. There are several studies on determining the initial abstraction and the CN from observed rainfall-runoff data; however, few studies demonstrate their statistical characteristics. The major aim of this study is to determine the feasible range and the confidence intervals of the CN. We examined 660 rainfall-runoff events collected from six medium sized watersheds in South Korea. The interior point optimization algorithm was adopted to ascertain the optimum value of CN and the initial abstraction coefficient (λ). The obtained results show that the CN value ranged from 45 to 90 and the average λ = 0.12 was best suited for Korean watersheds. The estimated confidence intervals were highly significant and strongly recommended for Korean watersheds.",

keywords = "confidence interval, initial abstraction, interior point optimization, NRCS-curve number",

author = "Lee, {Jin Young} and Kim, {Nam Won} and Kim, {Tae Woong} and Muhammad Jehanzaib",

note = "Funding Information: This research was supported by grants from the Strategic Research Project (20180374-101) funded by the Korea Institute of Civil Engineering and Building Technology and the Disaster and Safety Management Institute (MOIS-DP-2015-05) funded by Ministry of the Interior and Safety of Korean Government. The corresponding author would like to acknowledge the Higher Education Commission (HEC) of Pakistan and the Government of Pakistan for granting a scholarship to Muhammad Jehanzaib to pursue his PhD degree from Hanyang University, South Korea. Publisher Copyright: {\textcopyright} 2019, Korean Society of Civil Engineers.",

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AU - Lee, Jin Young

AU - Kim, Nam Won

AU - Kim, Tae Woong

AU - Jehanzaib, Muhammad

N1 - Funding Information: This research was supported by grants from the Strategic Research Project (20180374-101) funded by the Korea Institute of Civil Engineering and Building Technology and the Disaster and Safety Management Institute (MOIS-DP-2015-05) funded by Ministry of the Interior and Safety of Korean Government. The corresponding author would like to acknowledge the Higher Education Commission (HEC) of Pakistan and the Government of Pakistan for granting a scholarship to Muhammad Jehanzaib to pursue his PhD degree from Hanyang University, South Korea. Publisher Copyright: © 2019, Korean Society of Civil Engineers.

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N2 - Rainfall runoff is a complex phenomenon in nature. It differs from place to place due to different topographical features and rainfall patterns. The Natural Resources Conservation Service - Curve Number (NRCS-CN) is a well-adopted model to account for direct runoff volume from storm events. There are several studies on determining the initial abstraction and the CN from observed rainfall-runoff data; however, few studies demonstrate their statistical characteristics. The major aim of this study is to determine the feasible range and the confidence intervals of the CN. We examined 660 rainfall-runoff events collected from six medium sized watersheds in South Korea. The interior point optimization algorithm was adopted to ascertain the optimum value of CN and the initial abstraction coefficient (λ). The obtained results show that the CN value ranged from 45 to 90 and the average λ = 0.12 was best suited for Korean watersheds. The estimated confidence intervals were highly significant and strongly recommended for Korean watersheds.

AB - Rainfall runoff is a complex phenomenon in nature. It differs from place to place due to different topographical features and rainfall patterns. The Natural Resources Conservation Service - Curve Number (NRCS-CN) is a well-adopted model to account for direct runoff volume from storm events. There are several studies on determining the initial abstraction and the CN from observed rainfall-runoff data; however, few studies demonstrate their statistical characteristics. The major aim of this study is to determine the feasible range and the confidence intervals of the CN. We examined 660 rainfall-runoff events collected from six medium sized watersheds in South Korea. The interior point optimization algorithm was adopted to ascertain the optimum value of CN and the initial abstraction coefficient (λ). The obtained results show that the CN value ranged from 45 to 90 and the average λ = 0.12 was best suited for Korean watersheds. The estimated confidence intervals were highly significant and strongly recommended for Korean watersheds.

KW - confidence interval

KW - initial abstraction

KW - interior point optimization

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SN - 1226-7988

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SP - 5257

EP - 5265

JO - KSCE Journal of Civil Engineering

JF - KSCE Journal of Civil Engineering

IS - 12

ER -

Feasible ranges of runoff curve numbers for Korean watersheds based on the interior point optimization algorithm

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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