Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/36978
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dc.contributor.authorSadak, D.-
dc.contributor.authorAyvaz, Mustafa Tamer-
dc.contributor.authorElçi, Alper-
dc.date.accessioned2021-02-02T09:23:28Z-
dc.date.available2021-02-02T09:23:28Z-
dc.date.issued2020-
dc.identifier.issn0022-1694-
dc.identifier.urihttps://hdl.handle.net/11499/36978-
dc.identifier.urihttps://doi.org/10.1016/j.jhydrol.2020.125158-
dc.description.abstractIn this study, a new simulation–optimization approach is proposed to solve the multi-pollutant waste load allocation (WLA) problems in surface water systems. The proposed approach simulates the fate and transport of multiple pollutants utilizing the AQUATOX model. Since AQUATOX is an independent model and its integration into the optimization process is computationally not efficient, a multi-pollutant concentration–response matrix (mpCRM) is developed by using the results of the AQUATOX model. This mpCRM is then integrated into an optimization model where a nonlinear generalized reduced gradient (GRG) optimization method is used. Unlike in previously conducted studies, a new optimization formulation is proposed wherein the multiple pollutant loads are allocated among the source locations depending on their pre-assigned load allocation weights. This formulation allows for an equal or variable pollutant load allocation plan among source locations depending on the water management strategy for the watershed. The applicability of the proposed approach is evaluated on a sub-watershed of the Küçük Menderes River Basin (KMRB) in Turkey by considering different load allocation scenarios. Furthermore, a detailed sensitivity analysis is conducted to evaluate the model results for different problem parameters. Identified results suggest that the proposed simulation–optimization approach is an effective way to solve the multi-pollutant WLA problem. © 2020 Elsevier B.V.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofJournal of Hydrologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectLoad allocation weightsen_US
dc.subjectMulti-pollutanten_US
dc.subjectOptimizationen_US
dc.subjectSimulationen_US
dc.subjectWaste load allocationen_US
dc.subjectSensitivity analysisen_US
dc.subjectSurface watersen_US
dc.subjectWater managementen_US
dc.subjectWatershedsen_US
dc.subjectGeneralized reduced gradienten_US
dc.subjectOptimization approachen_US
dc.subjectOptimization formulationsen_US
dc.subjectOptimization modelingen_US
dc.subjectPollutant concentrationen_US
dc.subjectSimulation optimizationen_US
dc.subjectWaste load allocationsen_US
dc.subjectWater management strategiesen_US
dc.subjectWater pollutionen_US
dc.subjectconcentration (composition)en_US
dc.subjectdischargeen_US
dc.subjecthydrological modelingen_US
dc.subjectoptimizationen_US
dc.subjectpollutant transporten_US
dc.subjectriver pollutionen_US
dc.subjectsensitivity analysisen_US
dc.subjectsurface wateren_US
dc.subjectwastewater treatmenten_US
dc.subjectwater managementen_US
dc.subjectwatersheden_US
dc.subjectMenderes Basinen_US
dc.subjectTurkeyen_US
dc.titleAllocation of unequally-weighted wastewater discharge loads using a simulation-optimization approachen_US
dc.typeArticleen_US
dc.identifier.volume589en_US
dc.authorid0000-0002-8566-2825-
dc.identifier.doi10.1016/j.jhydrol.2020.125158-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85086478587en_US
dc.identifier.wosWOS:000568830400026en_US
dc.identifier.scopusqualityQ1-
dc.ownerPamukkale University-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.dept10.02. Civil Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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