Asset Details
Do you wish to reserve the book?
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
Do you wish to request the book?
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Artificial intelligence integration in conventional wastewater treatment techniques: techno-economic evaluation, recent progress and its future direction
2025
Overview
Artificial intelligence (AI) is currently making an appearance in the wastewater treatment industry because of its effectiveness, speed, and independence from human intervention. This in-depth analysis examines the underlying ideas of AI and how they apply to the field of wastewater treatment. This review explores cutting-edge AI technology, focusing on water quality monitoring, where AI-driven innovations have completely changed how water quality data is gathered and analysed. Also, it reviewed AI applications in adsorption, coagulation for removal of microorganism, heavy metals, organic and inorganic chemicals, dyes, and other emerging pollutants present in water and its process optimisation, prediction of capacity and efficiency, real-time monitoring, and better material selection in all conventional techniques. With a focus on intelligent electrode material selection, electrochemical process optimisation, and electrochemical system predictive maintenance, we examine the synergy of AI in electrochemical wastewater treatment. The paper also looks at AI applications in various areas of wastewater treatment, including advanced oxidation processes (AOPs), AI-based membrane material selection, and biological wastewater treatment. This includes cost–benefit analysis of AI deployment in wastewater treatment facilities, together with AI-driven financial optimisation and return on investment analysis, because economic factors are vital for technological acceptance. At the end of the article potential future possibilities for AI applications in this industry and analysing the difficulties encountered while integrating AI in wastewater treatment has been highlighted. Overall, incorporating AI into wastewater treatment procedures has a lot of potential to improve global sustainability, efficiency, and environmental protection.
Publisher
Springer Berlin Heidelberg
Subject
