Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/151238
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lu, Wei | en_US |
dc.contributor.author | Qin, Xiaosheng | en_US |
dc.contributor.author | Yu, Jianjun | en_US |
dc.date.accessioned | 2021-06-22T03:05:55Z | - |
dc.date.available | 2021-06-22T03:05:55Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Lu, W., Qin, X. & Yu, J. (2019). On comparison of two-level and global optimization schemes for layout design of storage ponds. Journal of Hydrology, 570, 544-554. https://dx.doi.org/10.1016/j.jhydrol.2018.10.078 | en_US |
dc.identifier.issn | 0022-1694 | en_US |
dc.identifier.other | 0000-0003-3187-7561 | - |
dc.identifier.uri | https://hdl.handle.net/10356/151238 | - |
dc.description.abstract | Optimization techniques have emerged as robust tools to aid the planning and design of urban drainage facilities in cost-effective ways. Such an effort was traditionally aided by heuristic methods (like genetic algorithm), which was generally time-consuming and also challenging in reaching convergence for large-scale problems with wide decision spaces. This study proposed a novel optimization method, denoted as two-level optimization (TO) scheme, for supporting rainwater storage pond design in an urban drainage system. Polynomial regression models were established as surrogate models to facilitate the solution of the optimization framework using traditional iteration algorithm. The TO scheme firstly sought the optimal layout of storage ponds on tributary sub-watersheds, and then proceeded to that of the mainstream one to yield the final solution. Through a case study, the TO scheme was compared with the traditional global optimization (GO) scheme where the physical simulation model was dynamically linked with genetic algorithm (GA) to seek the global optimal solution. The performance of two schemes under different constraint settings was analyzed. Effects of related issues such as start-point selection and mainstream design on tributary sub-watersheds were also discussed. The results showed that the proposed TO scheme is a prominent alternative to the traditional GO scheme to support urban water managers for a more science-based decision making towards storage pond implementation in large-scale practical problems. | en_US |
dc.description.sponsorship | Ministry of Education (MOE) | en_US |
dc.language.iso | en | en_US |
dc.relation | RG170/16 | en_US |
dc.relation | 4011766.030 | en_US |
dc.relation.ispartof | Journal of Hydrology | en_US |
dc.rights | © 2019 Elsevier B.V. All rights reserved. | en_US |
dc.subject | Engineering::Environmental engineering | en_US |
dc.title | On comparison of two-level and global optimization schemes for layout design of storage ponds | en_US |
dc.type | Journal Article | en |
dc.contributor.school | School of Civil and Environmental Engineering | en_US |
dc.contributor.research | Environmental Process Modelling Centre | en_US |
dc.contributor.research | Nanyang Environment and Water Research Institute | en_US |
dc.identifier.doi | 10.1016/j.jhydrol.2018.10.078 | - |
dc.identifier.scopus | 2-s2.0-85060522896 | - |
dc.identifier.volume | 570 | en_US |
dc.identifier.spage | 544 | en_US |
dc.identifier.epage | 554 | en_US |
dc.subject.keywords | Urban Drainage System | en_US |
dc.subject.keywords | Storage Pond | en_US |
dc.description.acknowledgement | The research work was supported by Singapore’s Ministry of Education (MOE) AcRF Tier 1 Project (Ref No. RG170/16; WBS No.: 4011766.030). | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | CEE Journal Articles |
SCOPUSTM
Citations
20
10
Updated on Mar 24, 2024
Web of ScienceTM
Citations
20
7
Updated on Oct 31, 2023
Page view(s)
235
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.