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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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 |
work_keys_str_mv |
AT soonhokwon developmentofamultiscenarioplanningapproachforurbandrainagesystems AT donghwijung developmentofamultiscenarioplanningapproachforurbandrainagesystems AT joonghoonkim developmentofamultiscenarioplanningapproachforurbandrainagesystems |
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