Future trends and innovations in the treatment of industrial effluent DOI
Noureddine El Messaoudi, Youssef Miyah, Jordana Georgin

et al.

Advances in chemical pollution, environmental management and protection, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

A review of artificial intelligence in water purification and wastewater treatment: Recent advancements DOI

Soma Safeer,

Ravi P. Pandey, Bushra Rehman

et al.

Journal of Water Process Engineering, Journal Year: 2022, Volume and Issue: 49, P. 102974 - 102974

Published: July 8, 2022

Language: Английский

Citations

116

Smart Water Resource Management Using Artificial Intelligence—A Review DOI Open Access
Siva Rama Krishnan Somayaji, M. K. Nallakaruppan, Rajeswari Chengoden

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(20), P. 13384 - 13384

Published: Oct. 17, 2022

Water management is one of the crucial topics discussed in most international forums. harvesting and recycling are major requirements to meet global upcoming demand water crisis, which prevalent. To achieve this, we need more emphasis on techniques that applied across various categories applications. Keeping mind population density index, there a dire implement intelligent mechanisms for effective distribution, conservation maintain quality standards purposes. The prescribed work discusses about few areas applications required efficient management. Those recent trends wastewater recycle, rainwater irrigation using Artificial Intelligence (AI) models. data acquired these purely unique also differs by type. Hence, use model or algorithm can be provide solutions all Deep Learning (DL) along with Internet things (IoT) framework facilitate designing smart system sustainable usage from natural resources. This surveys AI/DL IoT network case studies, sample statistical analysis develop an framework.

Language: Английский

Citations

115

The state of art on the prediction of efficiency and modeling of the processes of pollutants removal based on machine learning DOI
Nawal Taoufik, Wafaa Boumya,

Mounia Achak

et al.

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 807, P. 150554 - 150554

Published: Sept. 28, 2021

Language: Английский

Citations

110

Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems DOI

Nitin Kumar Singh,

Manish Yadav, Vijai Singh

et al.

Bioresource Technology, Journal Year: 2022, Volume and Issue: 369, P. 128486 - 128486

Published: Dec. 14, 2022

Language: Английский

Citations

103

A holistic review on how artificial intelligence has redefined water treatment and seawater desalination processes DOI
Saikat Sinha Ray, Rohit Kumar Verma, Ashutosh Singh

et al.

Desalination, Journal Year: 2022, Volume and Issue: 546, P. 116221 - 116221

Published: Nov. 9, 2022

Language: Английский

Citations

72

A Review on Applications of Artificial Intelligence in Wastewater Treatment DOI Open Access
Yì Wáng, Yuhan Cheng, He Liu

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13557 - 13557

Published: Sept. 11, 2023

In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve practical problems, has attracted much attention been widely used in various areas. Owing their strong learning accurate prediction abilities, all sorts of AI models have also applied wastewater treatment (WWT) optimize the process, predict efficiency evaluate performance, so explore more cost-effective solutions WWT. this review, we summarize analyze applications Specifically, briefly introduce commonly purposes, advantages disadvantages, comprehensively review inputs, outputs, objectives major findings particular water quality monitoring, laboratory-scale research process design. Although gained great success WWT-related fields, there are some challenges limitations that hinder widespread real WWT, such low interpretability, poor model reproducibility big data demand, well lack physical significance, mechanism explanation, academic transparency fair comparison. To overcome these hurdles successfully apply make recommendations discuss future directions applications.

Language: Английский

Citations

56

Unlocking synergies between waste management and climate change mitigation to accelerate decarbonization through circular-economy digitalization in Indonesia DOI
Tonni Agustiono Kurniawan, Christia Meidiana, Hui Hwang Goh

et al.

Sustainable Production and Consumption, Journal Year: 2024, Volume and Issue: 46, P. 522 - 542

Published: March 13, 2024

Language: Английский

Citations

53

Livestock and poultry farm wastewater treatment and its valorization for generating value-added products: Recent updates and way forward DOI

Sakshi Vaishnav,

Tapendra Saini,

Anuj Chauhan

et al.

Bioresource Technology, Journal Year: 2023, Volume and Issue: 382, P. 129170 - 129170

Published: May 15, 2023

Language: Английский

Citations

45

The Role of Conventional Methods and Artificial Intelligence in the Wastewater Treatment: A Comprehensive Review DOI Open Access
Wahid Ali Hamood Altowayti, Shafinaz Shahir, Norzila Othman

et al.

Processes, Journal Year: 2022, Volume and Issue: 10(9), P. 1832 - 1832

Published: Sept. 12, 2022

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 an artificial procedure that removes contaminants and impurities or sewage before discharging effluent back into environment. It can also be recycled by being further treated polished to provide safe quality water use, such as potable water. Municipal industrial systems are designed create discharged surrounding environments must comply with authorities’ environmental discharge rules. An effective, low-cost, environmentally friendly, long-term system critical protecting our unique finite supplies. Moreover, this paper discusses classification three traditional methods precipitation/encapsulation, adsorption, membrane technologies, electrodialysis, nanofiltration, reverse osmosis, other intelligence technology. The performances in terms application variables been fully addressed. ultimate purpose protect environment compatible public socioeconomic considerations. Realization nature guiding concept designing practical advanced technology assure wastewater’s productivity, safety, quality.

Language: Английский

Citations

65

A comprehensive review of Design of experiment (DOE) for water and wastewater treatment application - Key concepts, methodology and contextualized application DOI
B.C.Y. Lee, Mohd Salim Mahtab, Teck Heng Neo

et al.

Journal of Water Process Engineering, Journal Year: 2022, Volume and Issue: 47, P. 102673 - 102673

Published: March 3, 2022

Language: Английский

Citations

55