Deep learning-based flocculation sensor for automatic control of flocculant dose in sludge dewatering processes during wastewater treatment

H Yokoyama, T Yamashita, Y Kojima, K Nakamura - Water Research, 2024 - Elsevier
In sludge dewatering of most wastewater treatment plants (WWTPs), the dose of polymer
flocculant is manually adjusted through direct visual inspection of the flocs without the aid of …

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

RB Moruzzi, AL de Oliveira, S Sharifi… - Journal of Water …, 2024 - Elsevier
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 …

[HTML][HTML] MI-NiDIA: A scalable framework for modeling flocculation kinetics and floc evolution in water treatment

AO Bankole, R Moruzzi, RG Negri, CM Oishi… - Software Impacts, 2024 - Elsevier
This paper presents a scalable framework for modeling floc evolution and flocculation
kinetics in water treatment. Unlike the existing methods that subjects Non-intrusive Dynamic …