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.
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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.
| Type: | Article |
|---|---|
| Title: | Enhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks |
| DOI: | 10.1016/j.jwpe.2024.105433 |
| Publisher version: | https://doi.org/10.1016/j.jwpe.2024.105433 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Aggregate size distribution, Image analysis, Flocculation, Kinetic modelJar test |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10193418 |
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