Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis
The world faces growing water scarcity and the need for efficient wastewater treatment. The application of advanced artificial intelligence (AI) techniques holds great promise in optimizing processes, enhancing predictive capabilities, and supporting informed decision-making in this critical domain....
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Case Studies in Chemical and Environmental Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016424003207 |
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| author | Abdullah O. Baarimah Mahmood A. Bazel Wesam Salah Alaloul Motasem Y.D. Alazaiza Tharaa M. Al-Zghoul Basheer Almuhaya Arsalaan Khan Ahmed W. Mushtaha |
| author_facet | Abdullah O. Baarimah Mahmood A. Bazel Wesam Salah Alaloul Motasem Y.D. Alazaiza Tharaa M. Al-Zghoul Basheer Almuhaya Arsalaan Khan Ahmed W. Mushtaha |
| author_sort | Abdullah O. Baarimah |
| collection | DOAJ |
| description | The world faces growing water scarcity and the need for efficient wastewater treatment. The application of advanced artificial intelligence (AI) techniques holds great promise in optimizing processes, enhancing predictive capabilities, and supporting informed decision-making in this critical domain. This study, which focuses on research trends and developments in the use of AI for wastewater treatment, provides a thorough bibliometric analysis of 368 documents from the Scopus database between 2015 and 2024. The analysis reveals a significant increase in research output, peaking at 93 publications in 2023. This suggests growing interest and focus in leveraging AI techniques to address wastewater management challenges. According to the data, the most important journals in this field are Chemosphere, Water Science and Technology, and the Journal of Environmental Management. Significant contributors to the study were China, India, and the US, with the University of Johannesburg emerging as the most influential institution. The main research direction in this field is properly indicated by the frequently used keywords ''artificial intelligence,'' ''wastewater treatment,'' and ''machine learning,'' according to the analysis of keywords indicating the technological approaches being explored. Adsorption, microalgae, and anaerobic digestion are common methods that are gaining popularity. The most frequently studied wastewater contaminants in recent years have included heavy metals and nutrients. The findings of this analysis provide valuable insights that can guide future research priorities, inform the development of effective AI-driven solutions, and contribute to more sustainable water management practices. |
| format | Article |
| id | doaj-art-bc1649d1a9c8456ebcfeaab96e691d19 |
| institution | OA Journals |
| issn | 2666-0164 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Chemical and Environmental Engineering |
| spelling | doaj-art-bc1649d1a9c8456ebcfeaab96e691d192025-08-20T02:17:57ZengElsevierCase Studies in Chemical and Environmental Engineering2666-01642024-12-011010092610.1016/j.cscee.2024.100926Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysisAbdullah O. Baarimah0Mahmood A. Bazel1Wesam Salah Alaloul2Motasem Y.D. Alazaiza3Tharaa M. Al-Zghoul4Basheer Almuhaya5Arsalaan Khan6Ahmed W. Mushtaha7Department of Civil and Environmental Engineering, College of Engineering, A'Sharqiyah University, 400, Ibra, Oman; Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Perak, MalaysiaFaculty of Engineering and Computing, University of Science and Technology, Taiz, Yemen; Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen; Corresponding author. Faculty of Engineering and Computing, University of Science and Technology, Taiz, Yemen.Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Perak, MalaysiaDepartment of Civil and Environmental Engineering, College of Engineering, A'Sharqiyah University, 400, Ibra, OmanDepartment of Civil Engineering, Faculty of Engineering, Tafila Technical University, Tafila, 66110, Jordan; Department of Civil Engineering, School of Engineering, The University of Jordan, Amman, 11942, JordanFaculty of Engineering and Information Technology, Taiz University, Taiz, YemenDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Perak, Malaysia; Department of Civil Engineering, University of Engineering & Technology Peshawar, PakistanDepartment of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Perak, MalaysiaThe world faces growing water scarcity and the need for efficient wastewater treatment. The application of advanced artificial intelligence (AI) techniques holds great promise in optimizing processes, enhancing predictive capabilities, and supporting informed decision-making in this critical domain. This study, which focuses on research trends and developments in the use of AI for wastewater treatment, provides a thorough bibliometric analysis of 368 documents from the Scopus database between 2015 and 2024. The analysis reveals a significant increase in research output, peaking at 93 publications in 2023. This suggests growing interest and focus in leveraging AI techniques to address wastewater management challenges. According to the data, the most important journals in this field are Chemosphere, Water Science and Technology, and the Journal of Environmental Management. Significant contributors to the study were China, India, and the US, with the University of Johannesburg emerging as the most influential institution. The main research direction in this field is properly indicated by the frequently used keywords ''artificial intelligence,'' ''wastewater treatment,'' and ''machine learning,'' according to the analysis of keywords indicating the technological approaches being explored. Adsorption, microalgae, and anaerobic digestion are common methods that are gaining popularity. The most frequently studied wastewater contaminants in recent years have included heavy metals and nutrients. The findings of this analysis provide valuable insights that can guide future research priorities, inform the development of effective AI-driven solutions, and contribute to more sustainable water management practices.http://www.sciencedirect.com/science/article/pii/S2666016424003207Artificial intelligence (AI)Bibliometric analysisMachine learning (ML)VOSviewerWastewater treatment |
| spellingShingle | Abdullah O. Baarimah Mahmood A. Bazel Wesam Salah Alaloul Motasem Y.D. Alazaiza Tharaa M. Al-Zghoul Basheer Almuhaya Arsalaan Khan Ahmed W. Mushtaha Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis Case Studies in Chemical and Environmental Engineering Artificial intelligence (AI) Bibliometric analysis Machine learning (ML) VOSviewer Wastewater treatment |
| title | Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis |
| title_full | Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis |
| title_fullStr | Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis |
| title_full_unstemmed | Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis |
| title_short | Artificial intelligence in wastewater treatment: Research trends and future perspectives through bibliometric analysis |
| title_sort | artificial intelligence in wastewater treatment research trends and future perspectives through bibliometric analysis |
| topic | Artificial intelligence (AI) Bibliometric analysis Machine learning (ML) VOSviewer Wastewater treatment |
| url | http://www.sciencedirect.com/science/article/pii/S2666016424003207 |
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