Determination of optimal location and capacity of detention facilities

S. Lim; V. H. Ho; S. Y. Lee; D. G. Yoo; J. H. Kim

doi:10.1016/j.proeng.2014.02.115

Determination of optimal location and capacity of detention facilities

S. Lim, V. H. Ho, S. Y. Lee, D. G. Yoo, J. H. Kim

School of Civil, Environmental and Architectural Engineering

Research output: Contribution to journal › Conference article › peer-review

11 Citations (Scopus)

Abstract

The importance of the effective distribution of runoff in sewer network throughout a detention facility has recently been recognized. This study aims to determine the location and the capacity of detention facilities in urban sewer network. The optimal location and capacity of the detention facilities can be determined by numerous iterations of an optimization model. In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine. A multi-objective genetic algorithm (MOGA) is adopted to minimize both the total overflow and the installing cost. The developed model is applied to S city in South Korea. The goal in prevention performance of urban disaster is used as rainfall. The model will help engineers find effective alternatives to achieve the goal of the urban disaster prevention performance.

Original language	English
Pages (from-to)	1037-1045
Number of pages	9
Journal	Procedia Engineering
Volume	70
DOIs	https://doi.org/10.1016/j.proeng.2014.02.115
Publication status	Published - 2014
Event	12th International Conference on Computing and Control for the Water Industry, CCWI 2013 - Perugia, Italy Duration: 2013 Sept 2 → 2013 Sept 4

Keywords

Detention facility
Goal in prevention performance of urban disaster
Multi-objective genetic algorithm
Optimal location and capacity

ASJC Scopus subject areas

Engineering(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.proeng.2014.02.115

Cite this

@article{bb5d2355b99c407e939189ef21af05c1,

title = "Determination of optimal location and capacity of detention facilities",

abstract = "The importance of the effective distribution of runoff in sewer network throughout a detention facility has recently been recognized. This study aims to determine the location and the capacity of detention facilities in urban sewer network. The optimal location and capacity of the detention facilities can be determined by numerous iterations of an optimization model. In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine. A multi-objective genetic algorithm (MOGA) is adopted to minimize both the total overflow and the installing cost. The developed model is applied to S city in South Korea. The goal in prevention performance of urban disaster is used as rainfall. The model will help engineers find effective alternatives to achieve the goal of the urban disaster prevention performance.",

keywords = "Detention facility, Goal in prevention performance of urban disaster, Multi-objective genetic algorithm, Optimal location and capacity",

author = "S. Lim and Ho, {V. H.} and Lee, {S. Y.} and Yoo, {D. G.} and Kim, {J. H.}",

note = "Funding Information: This research was supported by a grant {\textquoteleft}The Integrated flood prevention technique and Optimal operation system for Urban drainage network{\textquoteright} [NEMA-NH-2011-42] from the Natural Hazard Mitigation Research Group, National Emergency Management Agency of Korea.; 12th International Conference on Computing and Control for the Water Industry, CCWI 2013 ; Conference date: 02-09-2013 Through 04-09-2013",

year = "2014",

doi = "10.1016/j.proeng.2014.02.115",

language = "English",

volume = "70",

pages = "1037--1045",

journal = "Procedia Engineering",

issn = "1877-7058",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - Determination of optimal location and capacity of detention facilities

AU - Lim, S.

AU - Ho, V. H.

AU - Lee, S. Y.

AU - Yoo, D. G.

AU - Kim, J. H.

N1 - Funding Information: This research was supported by a grant ‘The Integrated flood prevention technique and Optimal operation system for Urban drainage network’ [NEMA-NH-2011-42] from the Natural Hazard Mitigation Research Group, National Emergency Management Agency of Korea.

PY - 2014

Y1 - 2014

N2 - The importance of the effective distribution of runoff in sewer network throughout a detention facility has recently been recognized. This study aims to determine the location and the capacity of detention facilities in urban sewer network. The optimal location and capacity of the detention facilities can be determined by numerous iterations of an optimization model. In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine. A multi-objective genetic algorithm (MOGA) is adopted to minimize both the total overflow and the installing cost. The developed model is applied to S city in South Korea. The goal in prevention performance of urban disaster is used as rainfall. The model will help engineers find effective alternatives to achieve the goal of the urban disaster prevention performance.

AB - The importance of the effective distribution of runoff in sewer network throughout a detention facility has recently been recognized. This study aims to determine the location and the capacity of detention facilities in urban sewer network. The optimal location and capacity of the detention facilities can be determined by numerous iterations of an optimization model. In this paper, an interfacing Visual Basic (VB) programming tool with a SWMM (Storm Water Management Model) DLL for hydraulic and hydrological computation in sewer network completes the optimization routine. A multi-objective genetic algorithm (MOGA) is adopted to minimize both the total overflow and the installing cost. The developed model is applied to S city in South Korea. The goal in prevention performance of urban disaster is used as rainfall. The model will help engineers find effective alternatives to achieve the goal of the urban disaster prevention performance.

KW - Detention facility

KW - Goal in prevention performance of urban disaster

KW - Multi-objective genetic algorithm

KW - Optimal location and capacity

UR - http://www.scopus.com/inward/record.url?scp=84899675934&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2014.02.115

DO - 10.1016/j.proeng.2014.02.115

M3 - Conference article

AN - SCOPUS:84899675934

SN - 1877-7058

VL - 70

SP - 1037

EP - 1045

JO - Procedia Engineering

JF - Procedia Engineering

T2 - 12th International Conference on Computing and Control for the Water Industry, CCWI 2013

Y2 - 2 September 2013 through 4 September 2013

ER -

Determination of optimal location and capacity of detention facilities

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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