LAPSE:2023.1846
Published Article
LAPSE:2023.1846
The Role of Conventional Methods and Artificial Intelligence in the Wastewater Treatment: A Comprehensive Review
February 21, 2023
Water pollution is a severe health concern. Several studies have recently demonstrated the efficacy of various approaches for treating wastewater from anthropogenic activities. Wastewater treatment is an artificial procedure that removes contaminants and impurities from wastewater or sewage before discharging the effluent back into the environment. It can also be recycled by being further treated or polished to provide safe quality water for use, such as potable water. Municipal and industrial wastewater treatment systems are designed to create effluent discharged to the surrounding environments and must comply with various authorities’ environmental discharge quality rules. An effective, low-cost, environmentally friendly, and long-term wastewater treatment system is critical to protecting our unique and finite water supplies. Moreover, this paper discusses water pollution classification and the three traditional treatment methods of precipitation/encapsulation, adsorption, and membrane technologies, such as electrodialysis, nanofiltration, reverse osmosis, and other artificial intelligence technology. The treatment performances in terms of application and variables have been fully addressed. The ultimate purpose of wastewater treatment is to protect the environment that is compatible with public health and socioeconomic considerations. Realization of the nature of wastewater is the guiding concept for designing a practical and advanced treatment technology to assure the treated wastewater’s productivity, safety, and quality.
Record ID
Keywords
Adsorption, Artificial Intelligence, membrane, precipitation, water pollution
Subject
Suggested Citation
Altowayti WAH, Shahir S, Othman N, Eisa TAE, Yafooz WMS, Al-Dhaqm A, Soon CY, Yahya IB, Che Rahim NANB, Abaker M, Ali A. The Role of Conventional Methods and Artificial Intelligence in the Wastewater Treatment: A Comprehensive Review. (2023). LAPSE:2023.1846
Author Affiliations
Altowayti WAH: Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor, Johor Bahru 81310, Malaysia [ORCID]
Shahir S: Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor, Johor Bahru 81310, Malaysia
Othman N: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Eisa TAE: Department of Information Systems-Girls Section, King Khalid University, Mahayil 62529, Saudi Arabia
Yafooz WMS: Computer Science Department, Taibah University, Medina 42353, Saudi Arabia [ORCID]
Al-Dhaqm A: Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor, Johor Bahru 81310, Malaysia [ORCID]
Soon CY: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Yahya IB: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Che Rahim NANB: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Abaker M: Department Computer Science of Community College, King Khalid University, Muhayel Aseer 61913, Saudi Arabia [ORCID]
Ali A: Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor, Johor Bahru 81310, Malaysia
Shahir S: Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor, Johor Bahru 81310, Malaysia
Othman N: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Eisa TAE: Department of Information Systems-Girls Section, King Khalid University, Mahayil 62529, Saudi Arabia
Yafooz WMS: Computer Science Department, Taibah University, Medina 42353, Saudi Arabia [ORCID]
Al-Dhaqm A: Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor, Johor Bahru 81310, Malaysia [ORCID]
Soon CY: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Yahya IB: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Che Rahim NANB: Micro-Pollutant Research Centre (MPRC), Department of Civil Engineering, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Johor, Parit Raja 86400, Malaysia
Abaker M: Department Computer Science of Community College, King Khalid University, Muhayel Aseer 61913, Saudi Arabia [ORCID]
Ali A: Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia (UTM), Johor, Johor Bahru 81310, Malaysia
Journal Name
Processes
Volume
10
Issue
9
First Page
1832
Year
2022
Publication Date
2022-09-12
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr10091832, Publication Type: Review
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LAPSE:2023.1846
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doi:10.3390/pr10091832
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[v1] (Original Submission)
Feb 21, 2023
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Feb 21, 2023
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