[HTML][HTML] Predicting quality parameters of wastewater treatment plants using artificial intelligence techniques

E Aghdam, SR Mohandes, P Manu, C Cheung… - Journal of Cleaner …, 2023 - Elsevier
Estimating wastewater treatment plants'(WWTPs) influent parameters such as 5-day
biological oxygen demand (BOD 5) and chemical oxygen demand (COD) is vital for …

Application of machine learning at wastewater treatment facilities: a review of the science, challenges and barriers by level of implementation

S Imen, HC Croll, NL McLellan, M Bartlett… - Environmental …, 2023 - Taylor & Francis
Wastewater treatment facilities are complex environments with many unit treatment
processes in series, in parallel, and connected by feedback loops. As such, addressing …

Development of local and global wastewater biochemical oxygen demand real-time prediction models using supervised machine learning algorithms

AS Qambar, MMM Al Khalidy - Engineering Applications of Artificial …, 2023 - Elsevier
This study aims to shed light on a new understanding of global machine-learning (ML)
prediction models for wastewater treatment plants (WWTPs). The paper evaluates the …

Recent developments in the application of ultrasonication in pre-treatment of municipal sewage sludge

A Szaja, J Szulżyk-Cieplak, S Łagód… - Journal of Ecological …, 2023 - yadda.icm.edu.pl
This article presents the experience in the field of using ultrasonication as a pre-treatment
method of SS (sewage sludge). On the basis of a review of the literature, the effect of …

Deep learning based soft sensor for microbial wastewater treatment efficiency prediction

J Cao, A Xue, Y Yang, W Cao, X Hu, G Cao… - Journal of Water …, 2023 - Elsevier
With the swift industrial development, the pollution of water bodies by industrial effluent is
becoming more widespread and serious. To achieve a more effective and intelligent control …

Artificial intelligence and wastewater treatment: a global scientific perspective through text mining

A El Alaoui El Fels, L Mandi, A Kammoun, N Ouazzani… - Water, 2023 - mdpi.com
The concept of using wastewater as a substitute for limited water resources and
environmental protection has enabled this sector to make major technological …

Hybrid modeling techniques for predicting chemical oxygen demand in wastewater treatment: a stacking ensemble learning approach with neural networks

P Tuppad - Environmental Monitoring and Assessment, 2024 - Springer
To ensure operational efficiency, promote sustainable wastewater treatment practices, and
maintain compliance with environmental regulations, it is crucial to evaluate the parameters …

Innovations in Wastewater Treatment: Harnessing Mathematical Modeling and Computer Simulations with Cutting-Edge Technologies and Advanced Control Systems

J Drewnowski, B Szeląg, F Sabba… - Journal of Ecological …, 2023 - mostwiedzy.pl
The wastewater treatment landscape in Central Europe, particularly in Poland, has
undergone a profound transformation due to European Union (EU) integration. Fueled by …

[PDF][PDF] FDA-SCN Network Based Soft Sensor for Wastewater Treatment Process.

X Du, Y Yao - Polish Journal of Environmental Studies, 2024 - pjoes.com
To address the issues that environmental elements have a significant impact on total
nitrogen (TN) in effluent throughout the wastewater treatment process, and existing analysis …

Application of Multispectral Images from Unmanned Aerial Vehicles to Analyze Operations of a Wastewater Treatment Plant

B Szeląg, S Sobura, R Stoińska - Energies, 2023 - mdpi.com
The main task of a wastewater treatment plant (WWTP) is to reduce pollutants that adversely
affect the receiving environment in which the effluent is discharged. The operation of a …