Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events

Soon Ho Kwon, Donghwi Jung, Joong Hoon Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, property damages and loss of life caused by natural disasters are increasing in urban area because of local torrential rainfall, which is mostly originated from recent global climate change. Acceleration of population concentration and increase of impervious area from urbanization worsen the situation. Therefore, it is highly important to consider system resilience which is the system’s ability to prepare, react, and recover from a failure (e.g., flooding). This study proposes a resilience-constrained optimal design model of urban drainage network, which minimizes total system cost while satisfying predefined failure depth and duration (i.e., resilience measures). Optimal layout and pipe sizes are identified by the proposed model comprised of Harmony Search Algorithm (HSA) for optimization and Storm Water Management Model (SWMM) for dynamic hydrology-hydraulic simulation. The proposed model is applied to the design of Gasan urban drainage system in Seoul, Korea, and the resilience-based design obtained is compared to the least-cost design obtained with no constraint on the resilience measures.

Original languageEnglish
Title of host publicationHarmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018
EditorsJagdish Chand Bansal, Joong Hoon Kim, Anupam Yadav, Kusum Deep, Neha Yadav
PublisherSpringer Verlag
Pages153-158
Number of pages6
ISBN (Print)9789811307607
DOIs
Publication statusPublished - 2019 Jan 1
Event4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018 - Gurgaon, India
Duration: 2018 Feb 72018 Feb 9

Publication series

NameAdvances in Intelligent Systems and Computing
Volume741
ISSN (Print)2194-5357

Conference

Conference4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018
CountryIndia
CityGurgaon
Period18/2/718/2/9

Fingerprint

Drainage
Systems analysis
Costs
Hydrology
Water management
Climate change
Disasters
Rain
Pipe
Hydraulics

Keywords

  • Harmony search
  • Resilience
  • Urban drainage system (UDS)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Kwon, S. H., Jung, D., & Kim, J. H. (2019). Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events. In J. C. Bansal, J. H. Kim, A. Yadav, K. Deep, & N. Yadav (Eds.), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018 (pp. 153-158). (Advances in Intelligent Systems and Computing; Vol. 741). Springer Verlag. https://doi.org/10.1007/978-981-13-0761-4_16

Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events. / Kwon, Soon Ho; Jung, Donghwi; Kim, Joong Hoon.

Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. ed. / Jagdish Chand Bansal; Joong Hoon Kim; Anupam Yadav; Kusum Deep; Neha Yadav. Springer Verlag, 2019. p. 153-158 (Advances in Intelligent Systems and Computing; Vol. 741).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwon, SH, Jung, D & Kim, JH 2019, Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events. in JC Bansal, JH Kim, A Yadav, K Deep & N Yadav (eds), Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Advances in Intelligent Systems and Computing, vol. 741, Springer Verlag, pp. 153-158, 4th International Conference on Harmony Search, Soft Computing and Applications, ICHSA 2018, Gurgaon, India, 18/2/7. https://doi.org/10.1007/978-981-13-0761-4_16
Kwon SH, Jung D, Kim JH. Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events. In Bansal JC, Kim JH, Yadav A, Deep K, Yadav N, editors, Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. Springer Verlag. 2019. p. 153-158. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-981-13-0761-4_16
Kwon, Soon Ho ; Jung, Donghwi ; Kim, Joong Hoon. / Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events. Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018. editor / Jagdish Chand Bansal ; Joong Hoon Kim ; Anupam Yadav ; Kusum Deep ; Neha Yadav. Springer Verlag, 2019. pp. 153-158 (Advances in Intelligent Systems and Computing).
@inproceedings{87fca26e335f456281e0e23e8806e2b5,
title = "Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events",
abstract = "Recently, property damages and loss of life caused by natural disasters are increasing in urban area because of local torrential rainfall, which is mostly originated from recent global climate change. Acceleration of population concentration and increase of impervious area from urbanization worsen the situation. Therefore, it is highly important to consider system resilience which is the system’s ability to prepare, react, and recover from a failure (e.g., flooding). This study proposes a resilience-constrained optimal design model of urban drainage network, which minimizes total system cost while satisfying predefined failure depth and duration (i.e., resilience measures). Optimal layout and pipe sizes are identified by the proposed model comprised of Harmony Search Algorithm (HSA) for optimization and Storm Water Management Model (SWMM) for dynamic hydrology-hydraulic simulation. The proposed model is applied to the design of Gasan urban drainage system in Seoul, Korea, and the resilience-based design obtained is compared to the least-cost design obtained with no constraint on the resilience measures.",
keywords = "Harmony search, Resilience, Urban drainage system (UDS)",
author = "Kwon, {Soon Ho} and Donghwi Jung and Kim, {Joong Hoon}",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-981-13-0761-4_16",
language = "English",
isbn = "9789811307607",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "153--158",
editor = "Bansal, {Jagdish Chand} and Kim, {Joong Hoon} and Anupam Yadav and Kusum Deep and Neha Yadav",
booktitle = "Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018",

}

TY - GEN

T1 - Urban drainage system design minimizing system cost constrained to failure depth and duration under flooding events

AU - Kwon, Soon Ho

AU - Jung, Donghwi

AU - Kim, Joong Hoon

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Recently, property damages and loss of life caused by natural disasters are increasing in urban area because of local torrential rainfall, which is mostly originated from recent global climate change. Acceleration of population concentration and increase of impervious area from urbanization worsen the situation. Therefore, it is highly important to consider system resilience which is the system’s ability to prepare, react, and recover from a failure (e.g., flooding). This study proposes a resilience-constrained optimal design model of urban drainage network, which minimizes total system cost while satisfying predefined failure depth and duration (i.e., resilience measures). Optimal layout and pipe sizes are identified by the proposed model comprised of Harmony Search Algorithm (HSA) for optimization and Storm Water Management Model (SWMM) for dynamic hydrology-hydraulic simulation. The proposed model is applied to the design of Gasan urban drainage system in Seoul, Korea, and the resilience-based design obtained is compared to the least-cost design obtained with no constraint on the resilience measures.

AB - Recently, property damages and loss of life caused by natural disasters are increasing in urban area because of local torrential rainfall, which is mostly originated from recent global climate change. Acceleration of population concentration and increase of impervious area from urbanization worsen the situation. Therefore, it is highly important to consider system resilience which is the system’s ability to prepare, react, and recover from a failure (e.g., flooding). This study proposes a resilience-constrained optimal design model of urban drainage network, which minimizes total system cost while satisfying predefined failure depth and duration (i.e., resilience measures). Optimal layout and pipe sizes are identified by the proposed model comprised of Harmony Search Algorithm (HSA) for optimization and Storm Water Management Model (SWMM) for dynamic hydrology-hydraulic simulation. The proposed model is applied to the design of Gasan urban drainage system in Seoul, Korea, and the resilience-based design obtained is compared to the least-cost design obtained with no constraint on the resilience measures.

KW - Harmony search

KW - Resilience

KW - Urban drainage system (UDS)

UR - http://www.scopus.com/inward/record.url?scp=85053245070&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85053245070&partnerID=8YFLogxK

U2 - 10.1007/978-981-13-0761-4_16

DO - 10.1007/978-981-13-0761-4_16

M3 - Conference contribution

SN - 9789811307607

T3 - Advances in Intelligent Systems and Computing

SP - 153

EP - 158

BT - Harmony Search and Nature Inspired Optimization Algorithms - Theory and Applications, ICHSA 2018

A2 - Bansal, Jagdish Chand

A2 - Kim, Joong Hoon

A2 - Yadav, Anupam

A2 - Deep, Kusum

A2 - Yadav, Neha

PB - Springer Verlag

ER -