Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects
Article Type
Review Article
Publication Title
Journal of Environmental Management
Abstract
The non-linear complex relationships among the process variables in wastewater and waste gas treatment systems possess a significant challenge for real-time systems modelling. Data driven artificial intelligence (AI) tools are increasingly being adopted to predict the process performance, cost-effective process monitoring, and the control of different waste treatment systems, including those involving resource recovery. This review presents an in-depth analysis of the applications of emerging AI tools in physico-chemical and biological processes for the treatment of air pollutants, water and wastewater, and resource recovery processes. Additionally, the successful implementation of AI-controlled wastewater and waste gas treatment systems, along with real-time monitoring at the industrial scale are discussed.
DOI
10.1016/j.jenvman.2024.122386
Publication Date
11-1-2024
Recommended Citation
Behera, Shishir Kumar; Karthika, S.; Mahanty, Biswanath; Meher, Saroj K.; Zafar, Mohd; Baskaran, Divya; Rajamanickam, Ravi; Das, Raja; Pakshirajan, Kannan; Bilyaminu, Abubakar M.; and Rene, Eldon R., "Application of artificial intelligence tools in wastewater and waste gas treatment systems: Recent advances and prospects" (2024). Journal Articles. 4604.
https://digitalcommons.isical.ac.in/journal-articles/4604