Abstract
The paper introduces a decentralized approach to optimizing the flood reduction efficiency of multiple detention reservoirs in urban areas. The flood reduction effects of a detention reservoir system were regionally assessed, and a new model was then created using an optimization technique which involved coupling extraordinary particle swarm optimization with a flood simulation engine, Storm Water Management Model, EPA-SWMM, to identify optimal outlet designs for a detention reservoir system. When applied to the To Lich drainage network (Hanoi, Vietnam) the proposed method outperformed the present design, reducing flooding under the design flood event. The performance of the approach was verified by comparing it with the overall objective function of total flooded volume for different design floods. The better performance of the decentralized optimization approach described here, in terms of local and regional flood management, illustrated its effectiveness for urban flooding reduction.
| Original language | English |
|---|---|
| Pages (from-to) | 445-452 |
| Number of pages | 8 |
| Journal | Urban Water Journal |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 2018 May 28 |
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Keywords
- Hanoi drainage network
- Multiple detention reservoirs
- optimization
ASJC Scopus subject areas
- Geography, Planning and Development
- Water Science and Technology
Cite this
Decentralization-based optimization of detention reservoir systems for flood reduction in urban drainage areas. / Ngo, Thuy Thi; Yoo, Do Guen; Kim, Joong Hoon.
In: Urban Water Journal, Vol. 15, No. 5, 28.05.2018, p. 445-452.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Decentralization-based optimization of detention reservoir systems for flood reduction in urban drainage areas
AU - Ngo, Thuy Thi
AU - Yoo, Do Guen
AU - Kim, Joong Hoon
PY - 2018/5/28
Y1 - 2018/5/28
N2 - The paper introduces a decentralized approach to optimizing the flood reduction efficiency of multiple detention reservoirs in urban areas. The flood reduction effects of a detention reservoir system were regionally assessed, and a new model was then created using an optimization technique which involved coupling extraordinary particle swarm optimization with a flood simulation engine, Storm Water Management Model, EPA-SWMM, to identify optimal outlet designs for a detention reservoir system. When applied to the To Lich drainage network (Hanoi, Vietnam) the proposed method outperformed the present design, reducing flooding under the design flood event. The performance of the approach was verified by comparing it with the overall objective function of total flooded volume for different design floods. The better performance of the decentralized optimization approach described here, in terms of local and regional flood management, illustrated its effectiveness for urban flooding reduction.
AB - The paper introduces a decentralized approach to optimizing the flood reduction efficiency of multiple detention reservoirs in urban areas. The flood reduction effects of a detention reservoir system were regionally assessed, and a new model was then created using an optimization technique which involved coupling extraordinary particle swarm optimization with a flood simulation engine, Storm Water Management Model, EPA-SWMM, to identify optimal outlet designs for a detention reservoir system. When applied to the To Lich drainage network (Hanoi, Vietnam) the proposed method outperformed the present design, reducing flooding under the design flood event. The performance of the approach was verified by comparing it with the overall objective function of total flooded volume for different design floods. The better performance of the decentralized optimization approach described here, in terms of local and regional flood management, illustrated its effectiveness for urban flooding reduction.
KW - Hanoi drainage network
KW - Multiple detention reservoirs
KW - optimization
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UR - http://www.scopus.com/inward/citedby.url?scp=85053265573&partnerID=8YFLogxK
U2 - 10.1080/1573062X.2018.1508600
DO - 10.1080/1573062X.2018.1508600
M3 - Article
VL - 15
SP - 445
EP - 452
JO - Urban Water Journal
JF - Urban Water Journal
SN - 1573-062X
IS - 5
ER -