Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/860
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRathnayake, U. S-
dc.date.accessioned2022-01-31T06:44:12Z-
dc.date.available2022-01-31T06:44:12Z-
dc.date.issued2021-
dc.identifier.issn2332-1121-
dc.identifier.urihttp://localhost:80/handle/123456789/860-
dc.description.abstract: Combined sewer networks carry wastewater and stormwater together. Capacity limitation of these sewer networks results in combined sewer overflows (CSOs) during high-intensity storms. Untreated CSOs when directly discharged to the nearby natural water bodies cause many environmental problems. Controlling existing urban sewer networks is one possible way of addressing the issues in urban wastewater systems. However, it is still a challenge, when considering the receiving water quality effects. This paper presents an evolutionary constrained multi-objective optimization approach to control the existing combined sewer networks. The control of online storage tanks was taken into account when controlling the combined sewer network. The developed multi-objective approach considers two important objectives, i.e. the pollution load to the receiving water from CSOs and the cost of the wastewater treatment. The proposed optimization algorithm is applied here to a realistic interceptor sewer system to demonstrate its effectiveness.en_US
dc.language.isoenen_US
dc.publisherDAVID PUBLISHINGen_US
dc.relation.ispartofseriesJournal of Civil Engineering and Architecture;Vol 15 Pages 374-381-
dc.subjectCombined sewer systemsen_US
dc.subjecteffluent quality indexen_US
dc.subjectgenetic algorithmsen_US
dc.subjectconstrained evolutionary multi-objective optimizationen_US
dc.subjecton-line storage tanks.en_US
dc.titleOptimal control of combined sewer overflowsen_US
dc.typeArticleen_US
dc.identifier.doidoi: 10.17265/1934-7359/2021.07.005en_US
Appears in Collections:Research Papers - Department of Civil Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

Files in This Item:
File Description SizeFormat 
6124875b05c97.pdf295.96 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.