20th AIAI 2024, 27 - 30 June 2024, Corfu, Greece

Artificial Intelligence Modeling of the Efficiency of a Biological Treatment Installation

Nichat Kiourt, Lazaros Iliadis, Christos Akratos, Antonios Papaleonidas

Abstract:

  Wastewater is transported to the Biological Treatment Facilities (BCF), through the sewers or in some cases with special tank trucks. Biological cleaning is a process that separates contaminating substances from wastewater. It results in the reuse of water and in the reduction of the environmental pollution. Both the Chemical Oxygen Demand (COD) and the Biological Oxygen Demand (BOD) are used as measures of the strength and the effectiveness of sewage treatment plants. Aeration and anaerobic processes are employed to reduce the COD. The purpose of this scientific research is the development of robust Machine Learning models for the evaluation-classification of the running biological purification processes of a BCF installation in Barcelona, Spain. All measurements are related to each one of the three well known stages of the wastewater treatment process, namely the primary, secondary and tertiary.  

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