Enhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Federal de Uberlândia (UFU)-
Autor(es): dc.contributorSchool of Engineering. University of Birmingham-
Autor(es): dc.contributorFederal University of Agriculture-
Autor(es): dc.contributorUniversity College London-
Autor(es): dc.creatorMoruzzi, Rodrigo B.-
Autor(es): dc.creatorde Oliveira, Andre Luiz-
Autor(es): dc.creatorSharifi, Soroosh-
Autor(es): dc.creatorBankole, Abayomi O.-
Autor(es): dc.creatorCampos, Luiza C.-
Data de aceite: dc.date.accessioned2025-08-21T20:15:49Z-
Data de disponibilização: dc.date.available2025-08-21T20:15:49Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.jwpe.2024.105433-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/305872-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/305872-
Descrição: dc.descriptionFlocculation is crucial in drinking water treatment, yet conventional techniques like jar tests may lack precision in capturing particle heterogeneity. To overcome this, a non-intrusive image-based system was employed to directly assess flocculation using aggregate size distribution (ASD). Integrating ASD into a kinetic model with a single parameter (β) allowed for tracking ASD during flocculation. Bench and pilot-plant scale experiments validated our approach. Sensitivity analysis confirmed β's responsiveness to ASD variations (r > 0.92), with modelling indicating errors averaging around 5%, underscoring its efficacy in assessing flocculation efficiency. Linking ASD coefficients from bench to pilot-scale models facilitates predicting flocculation performance.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University (UNESP), São Paulo-
Descrição: dc.descriptionFederal University of Uberlândia - Faculty of Civil Engineering, Minas Gerais-
Descrição: dc.descriptionDepartment of Civil Engineering School of Engineering. University of Birmingham, Birmingham-
Descrição: dc.descriptionDepartment of Civil and Environmental Engineering Sao Paulo State University (UNESP) Bauru Campus-
Descrição: dc.descriptionDepartment of Water Resources Management and Agrometeorology COLERM Federal University of Agriculture-
Descrição: dc.descriptionCentre for Urban Sustainability and Resilience Department of Civil Environmental and Geomatic Engineering University College London, Gower Street-
Descrição: dc.descriptionInstitute of Science and Technology São Paulo State University (UNESP), São Paulo-
Descrição: dc.descriptionDepartment of Civil and Environmental Engineering Sao Paulo State University (UNESP) Bauru Campus-
Descrição: dc.descriptionFAPESP: 2023/08052-1-
Descrição: dc.descriptionCNPq: 309788/2021-8-
Descrição: dc.descriptionCNPq: 441591/2023-0-
Descrição: dc.descriptionCAPES: 88887.310463/2018-00-
Descrição: dc.descriptionCAPES: 88887.468868/2019-00-
Idioma: dc.languageen-
Relação: dc.relationJournal of Water Process Engineering-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAggregate size distribution-
Palavras-chave: dc.subjectFlocculation-
Palavras-chave: dc.subjectImage analysis-
Palavras-chave: dc.subjectJar test-
Palavras-chave: dc.subjectKinetic model-
Título: dc.titleEnhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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