Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/814
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRathnayake, U-
dc.contributor.authorAnwar, A. H. M. F-
dc.date.accessioned2022-01-28T07:32:15Z-
dc.date.available2022-01-28T07:32:15Z-
dc.date.issued2019-09-15-
dc.identifier.issn0022-1694-
dc.identifier.urihttp://localhost:80/handle/123456789/814-
dc.description.abstractSewer network planners use control algorithms, based on optimization techniques, to control urban wastewater systems. These control algorithms have been used to ease the stress on the sewer networks and then, to reduce or to minimize the combined sewer overflows (CSOs). CSOs are not only risking human health but also adversely affecting the aquatic lives. Therefore, many cities try to avoid CSOs. However, this cannot be done to the perfect level due to the capacity limitations of the existing combined sewer networks. In addition, climate variabilities have caused unpredictable precipitation increments and therefore, the control is extremely difficult. Therefore, considering the spatial and temporal variations of runoffs and qualities of stormwater generated from the pre- cipitation, an enhanced optimal control algorithm is illustrated in this paper to control the existing combined sewer networks. Minimizing the pollution load to the receiving water and minimizing the cost of wastewater treatment and pump operation are the two objective functions in the developed optimization algorithm. The algorithm was then successfully applied to a real-world combined sewer network in Liverpool, United Kingdom. Results reveal that the developed optimal control model is capable of handling the dynamic control settings of combined sewer system to minimize the two objective functions simultaneously. With a little computational appreciation, the developed optimal control model can be well-used in the real-time control of combined sewer networksen_US
dc.language.isoenen_US
dc.publisher10.1016/j.jhydrol.2019.124150en_US
dc.relation.ispartofseriesJournal of Hydrology;-
dc.subjectCombined sewer overflows (CSOs)en_US
dc.subjectDynamic controlen_US
dc.subjectEvolutionary algorithmsen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectOrifice gate openingsen_US
dc.subjectPumping costen_US
dc.titleDynamic control of urban sewer systems to reduce combined sewer overflows and their adverse impactsen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1016/j.jhydrol.2019.124150en_US
Appears in Collections:Department of Civil Engineering -Scopes
Research Papers - Department of Civil Engineering
Research Papers - SLIIT Staff Publications

Files in This Item:
File Description SizeFormat 
1-s2.0-S0022169419308856-main (1).pdf
  Until 2050-12-31
2.88 MBAdobe PDFView/Open Request a copy


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