Development of a Multiscenario Planning Approach for Urban Drainage Systems

A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, which involve increasing levels of uncertainty. T...

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Main Authors: Soon Ho Kwon, Donghwi Jung, Joong Hoon Kim
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/5/1834
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spelling doaj-63d5ee0520b24aca8b27b9cb1315d5602020-11-25T01:48:39ZengMDPI AGApplied Sciences2076-34172020-03-01105183410.3390/app10051834app10051834Development of a Multiscenario Planning Approach for Urban Drainage SystemsSoon Ho Kwon0Donghwi Jung1Joong Hoon Kim2Department of Civil, Environmental and Architectural Engineering, Korea University, 145, Anam-ro, Seongbukgu, Seoul 02841, KoreaSchool of Civil, Environmental and Architectural Engineering, Korea University, 145, Anam-ro, Seongbukgu, Seoul 02841, KoreaSchool of Civil, Environmental and Architectural Engineering, Korea University, 145, Anam-ro, Seongbukgu, Seoul 02841, KoreaA traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, which involve increasing levels of uncertainty. To overcome this limitation, an alternative is to consider multiple scenarios simultaneously. A two-phase multi-scenario-based UDS planning approach was developed. Scenario-optimal solutions were determined for a set of scenarios in Phase I, as the traditional planning approach, while common elements across the scenarios were identified and used to consider components-wise regret cost concept for Phase II optimization, from which a compromise solution was sought. The storm water management model was dynamically linked with the harmony search algorithm for each phase optimization model. The proposed approach was demonstrated in the planning of the grid-type drainage networks of S-city. The compromise solution was compared with the scenario-optimal solutions (Phase I) with respect to cost effectiveness and system performance under scenarios that were not considered in the planning phase.https://www.mdpi.com/2076-3417/10/5/1834urban drainage systemsmulti-scenario-based planningtwo-phase optimizationpipe installation and size design
collection DOAJ
language English
format Article
sources DOAJ
author Soon Ho Kwon
Donghwi Jung
Joong Hoon Kim
spellingShingle Soon Ho Kwon
Donghwi Jung
Joong Hoon Kim
Development of a Multiscenario Planning Approach for Urban Drainage Systems
Applied Sciences
urban drainage systems
multi-scenario-based planning
two-phase optimization
pipe installation and size design
author_facet Soon Ho Kwon
Donghwi Jung
Joong Hoon Kim
author_sort Soon Ho Kwon
title Development of a Multiscenario Planning Approach for Urban Drainage Systems
title_short Development of a Multiscenario Planning Approach for Urban Drainage Systems
title_full Development of a Multiscenario Planning Approach for Urban Drainage Systems
title_fullStr Development of a Multiscenario Planning Approach for Urban Drainage Systems
title_full_unstemmed Development of a Multiscenario Planning Approach for Urban Drainage Systems
title_sort development of a multiscenario planning approach for urban drainage systems
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-03-01
description A traditional urban drainage system (UDS) planning approach generally considers the most probable future rainfall scenario. However, this single scenario (i.e., scenario-optimal) planning approach is prone to failure under recent climatic conditions, which involve increasing levels of uncertainty. To overcome this limitation, an alternative is to consider multiple scenarios simultaneously. A two-phase multi-scenario-based UDS planning approach was developed. Scenario-optimal solutions were determined for a set of scenarios in Phase I, as the traditional planning approach, while common elements across the scenarios were identified and used to consider components-wise regret cost concept for Phase II optimization, from which a compromise solution was sought. The storm water management model was dynamically linked with the harmony search algorithm for each phase optimization model. The proposed approach was demonstrated in the planning of the grid-type drainage networks of S-city. The compromise solution was compared with the scenario-optimal solutions (Phase I) with respect to cost effectiveness and system performance under scenarios that were not considered in the planning phase.
topic urban drainage systems
multi-scenario-based planning
two-phase optimization
pipe installation and size design
url https://www.mdpi.com/2076-3417/10/5/1834
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AT donghwijung developmentofamultiscenarioplanningapproachforurbandrainagesystems
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