Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework
Eutrophication poses a significant threat to both human population growth and aquatic life. It gives rise to a range of issues, including algae blooms, loss of habitat, reduced self-purification capacity, and changes in the biodiversity system. In order to restore the ecosystem, it is impera...
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| Language: | en |
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Malque Publishing
2025
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| Online Access: | http://eprints.utem.edu.my/id/eprint/28480/2/2541 http://eprints.utem.edu.my/id/eprint/28480/ https://malque.pub/ojs/index.php/msj/article/view/5193 https://10.31893/multiscience.2025139 |
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| author | Yahaya, Saifudin Hafiz Mahdzir, Mira Mazlina Md Fauadi, Muhammad Hafidz Fazli Tneh, Tze Yeow |
| author_facet | Yahaya, Saifudin Hafiz Mahdzir, Mira Mazlina Md Fauadi, Muhammad Hafidz Fazli Tneh, Tze Yeow |
| author_sort | Yahaya, Saifudin Hafiz |
| building | UTEM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Eutrophication poses a significant threat to both human population growth and aquatic life. It gives rise to a range of issues, including algae blooms, loss of habitat, reduced self-purification capacity, and changes in the biodiversity system. In order to restore the ecosystem, it is imperative to implement water quality management measures to combat eutrophication. Common methods for mitigating eutrophication include the use of water quality models, aeration, and IoT technology. Water quality model simulations have been demonstrated to accurately predict future water quality. Aeration, on the other hand, increases oxygen concentration in water through dispersion. Furthermore, the utilization of IoT in water quality monitoring provides users with precise and real-time data. Despite research findings that suggest the effectiveness of water quality models, aeration, and IoT technologies in addressing eutrophication, their current integration is inadequate. Therefore, the aim of this paper is to develop a conceptual framework that incorporates water quality models, aeration, and IoT technology to regulate water quality, with a specific focus on preventing the eutrophication issue. The conceptual framework was created by studying existing research on frameworks for water treatment, water quality modelling, aerators, and IoT technologies. Several adjustments were made to tailor the general framework to the specific requirements of this study. The discussion emphasizes the advantages of conceptual framework development in managing water quality, which integrates water quality models, aerators, and IoT technologies. This framework is expected to serve as an effective tool for managing eutrophication in water, while also promoting sustainable measures to address water contamination. |
| format | Article |
| id | my.utem.eprints-28480 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2025 |
| publisher | Malque Publishing |
| record_format | eprints |
| spelling | my.utem.eprints-284802025-03-14T16:22:46Z http://eprints.utem.edu.my/id/eprint/28480/ Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework Yahaya, Saifudin Hafiz Mahdzir, Mira Mazlina Md Fauadi, Muhammad Hafidz Fazli Tneh, Tze Yeow Eutrophication poses a significant threat to both human population growth and aquatic life. It gives rise to a range of issues, including algae blooms, loss of habitat, reduced self-purification capacity, and changes in the biodiversity system. In order to restore the ecosystem, it is imperative to implement water quality management measures to combat eutrophication. Common methods for mitigating eutrophication include the use of water quality models, aeration, and IoT technology. Water quality model simulations have been demonstrated to accurately predict future water quality. Aeration, on the other hand, increases oxygen concentration in water through dispersion. Furthermore, the utilization of IoT in water quality monitoring provides users with precise and real-time data. Despite research findings that suggest the effectiveness of water quality models, aeration, and IoT technologies in addressing eutrophication, their current integration is inadequate. Therefore, the aim of this paper is to develop a conceptual framework that incorporates water quality models, aeration, and IoT technology to regulate water quality, with a specific focus on preventing the eutrophication issue. The conceptual framework was created by studying existing research on frameworks for water treatment, water quality modelling, aerators, and IoT technologies. Several adjustments were made to tailor the general framework to the specific requirements of this study. The discussion emphasizes the advantages of conceptual framework development in managing water quality, which integrates water quality models, aerators, and IoT technologies. This framework is expected to serve as an effective tool for managing eutrophication in water, while also promoting sustainable measures to address water contamination. Malque Publishing 2025-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/28480/2/2541 Yahaya, Saifudin Hafiz and Mahdzir, Mira Mazlina and Md Fauadi, Muhammad Hafidz Fazli and Tneh, Tze Yeow (2025) Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework. Multidisciplinary Science Journal, 7 (3). pp. 1-10. ISSN 2675-1240 https://malque.pub/ojs/index.php/msj/article/view/5193 https://10.31893/multiscience.2025139 |
| spellingShingle | Yahaya, Saifudin Hafiz Mahdzir, Mira Mazlina Md Fauadi, Muhammad Hafidz Fazli Tneh, Tze Yeow Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title | Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title_full | Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title_fullStr | Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title_full_unstemmed | Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title_short | Integrating water quality model and aeration with IoT technology in water quality management: A conceptual framework |
| title_sort | integrating water quality model and aeration with iot technology in water quality management: a conceptual framework |
| url | http://eprints.utem.edu.my/id/eprint/28480/2/2541 http://eprints.utem.edu.my/id/eprint/28480/ https://malque.pub/ojs/index.php/msj/article/view/5193 https://10.31893/multiscience.2025139 |
| url_provider | http://eprints.utem.edu.my/ |