TY  - JOUR
Y1  - 2024/06//
AV  - public
VL  - 63
TI  - Enhancing flocculation kinetics assessment: Integrating aggregate size distribution into experimental and modelling frameworks
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
SN  - 2214-7144
UR  - https://doi.org/10.1016/j.jwpe.2024.105433
PB  - Elsevier BV
ID  - discovery10193418
N2  - 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 (?) allowed for tracking ASD during flocculation. Bench and pilot-plant scale experiments validated our approach. Sensitivity analysis confirmed ?'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.
KW  - Aggregate size distribution
KW  -  Image analysis
KW  -  Flocculation
KW  -  Kinetic modelJar test
A1  - Moruzzi, RB
A1  - De Oliveira, AL
A1  - Sharifi, S
A1  - Bankole, AO
A1  - Campos, LC
JF  - Journal of Water Process Engineering
ER  -