Altowayti, Wahid Ali Hamood and Shahir, Shafinaz and Othman, Norzila and Elfadil Eisa, Taiseer Abdalla and Yafooz, Wael Mohamed Shaher and Al-Dhaqm, Arafat Mohammed Rashad and Chan, Yong Soon and Yahya, Izzati and Che Rahim, Nur Anis Natasha and Mohammed Abaker, Mohammed Abaker and Ali, Abdulalem (2022) The role of conventional methods and artificial intelligence in the wastewater treatment: a comprehensive review. Processes, 10 (9). pp. 1-31. ISSN 2227-9717
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Official URL: http://dx.doi.org/10.3390/pr10091832
Abstract
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.
Item Type: | Article |
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Uncontrolled Keywords: | adsorption, artificial intelligence, membrane, precipitation, water pollution |
Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Science |
ID Code: | 103881 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 04 Dec 2023 06:12 |
Last Modified: | 04 Dec 2023 06:12 |
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