eprintid: 10193418
rev_number: 8
eprint_status: archive
userid: 699
dir: disk0/10/19/34/18
datestamp: 2024-06-13 15:54:55
lastmod: 2025-05-07 06:10:06
status_changed: 2024-06-13 15:54:55
type: article
metadata_visibility: show
sword_depositor: 699
creators_name: Moruzzi, RB
creators_name: De Oliveira, AL
creators_name: Sharifi, S
creators_name: Bankole, AO
creators_name: Campos, LC
title: Enhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F44
keywords: Aggregate size distribution, Image analysis, Flocculation, Kinetic modelJar test
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: Flocculation 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.
date: 2024-06
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.jwpe.2024.105433
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 2278042
doi: 10.1016/j.jwpe.2024.105433
lyricists_name: Campos, Luiza
lyricists_id: LCCAM91
actors_name: Campos, Luiza
actors_id: LCCAM91
actors_role: owner
full_text_status: public
publication: Journal of Water Process Engineering
volume: 63
article_number: 105433
issn: 2214-7144
citation:        Moruzzi, RB;    De Oliveira, AL;    Sharifi, S;    Bankole, AO;    Campos, LC;      (2024)    Enhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks.                   Journal of Water Process Engineering , 63     , Article 105433.  10.1016/j.jwpe.2024.105433 <https://doi.org/10.1016/j.jwpe.2024.105433>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10193418/1/Manuscript-accepted%20version.pdf