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Bridging Data and Dynamics: A Physics-Informed Soft Sensor for Dissolved Oxygen Control in BiologicalWastewater Treatment

Dissolved oxygen (DO) control governs nitrification efficiency and aeration energy in activated sludge wastewater treatment. Physical DO sensors are subject to fouling, calibration drift, and the operational cost of multi-reactor instrumentation. A separate, structural constraint complicates soft-se...

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Main Author: Sorour, Abdelrahman Samir
Format: Thesis
Published: AUC Knowledge Fountain 2027
Subjects:
Physics-Informed Neural Networks (PINNs) -Scientific Machine Learning (SciML)-Biological Wastewater Treatment-Virtual Soft Sensors-Dissolved Oxygen (DO) Control -Latent State Estimation-Inverse Parameter Discovery-Spatial Observability-Real-Time State Estimation
Computational Engineering
Construction Engineering and Management
Environmental Engineering
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https://fount.aucegypt.edu/etds/2820
https://fount.aucegypt.edu/context/etds/article/3885/viewcontent/abdelrahman_samir_sorour_thesis.pdf

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