Application of IoT for monitoring water quality Sungai Pusu case study
The availability of clean water, a critical natural resource essential for supporting diverse ecosystems, is increasingly threatened by sediment accumulation, which negatively impacts rivers, oceans, and coastal environments. During rainy seasons, excessive sediment, including clay particles known a...
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IIUM Press, IIUM
2024
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my.iium.irep.1176222025-01-10T03:07:49Z http://irep.iium.edu.my/117622/ Application of IoT for monitoring water quality Sungai Pusu case study Kabbashi, Nassereldeen Ahmed Hasan, Tahsin Fuad Alam, Md. Zahangir Saleh, T Hassan Abdalla Hashim, Aisha Nour, Abdurahman Hamid Mohamad Sazaly, Muhammad Aniq Qawiem TD201 Water supply for domestic and industrial purposes The availability of clean water, a critical natural resource essential for supporting diverse ecosystems, is increasingly threatened by sediment accumulation, which negatively impacts rivers, oceans, and coastal environments. During rainy seasons, excessive sediment, including clay particles known as total suspended solids (TSS), contaminates water, compromising its quality, altering its color, and driving up treatment costs. Additionally, sediment can carry pollutants that reduce water clarity, harm aquatic life, and disrupt ecosystem functions. Conventional water treatment methods—such as coagulation, flocculation, sedimentation, and filtration are commonly employed to address these challenges. However, traditional water quality monitoring relies heavily on laboratory tests that require specialized personnel, chemicals, and expertise, which may not always be adequate for timely and effective intervention. The advent of Internet of Things (IoT) technology offers a promising alternative by enabling the real-time collection of water quality data. Furthermore, integrating soft computing technology into water quality assessment presents a more efficient, rapid, and environmentally sustainable alternative to traditional laboratory-based approaches. This research utilizes an IoT device to monitor the performance of a water treatment system and gather data on its water quality indicators. Integrating IoT devices into water treatment systems enables real-time monitoring, automated control, and predictive maintenance, leading to improved efficiency, cost savings, and proactive water quality management. These technologies enable real-time monitoring and analysis, reducing the need for manual sampling and laboratory testing, which lowers labor and operational costs. Early detection and automated intervention help prevent costly repairs and environmental damage by addressing issues before they escalate. A novel IoT-based monitoring system of integrating soft computing into water quality assessment has been achieved. IIUM Press, IIUM 2024-12-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/117622/7/117622_Application%20of%20IoT%20for%20monitoring.pdf Kabbashi, Nassereldeen Ahmed and Hasan, Tahsin Fuad and Alam, Md. Zahangir and Saleh, T and Hassan Abdalla Hashim, Aisha and Nour, Abdurahman Hamid and Mohamad Sazaly, Muhammad Aniq Qawiem (2024) Application of IoT for monitoring water quality Sungai Pusu case study. Chemical And Natural Resources Engineering Journal, 8 (2). pp. 1-8. E-ISSN 2637-0719 https://journals.iium.edu.my/bnrej/index.php/bnrej/issue/view/13 https://doi.org/10.31436/cnrej.v8i2.106 |
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TD201 Water supply for domestic and industrial purposes Kabbashi, Nassereldeen Ahmed Hasan, Tahsin Fuad Alam, Md. Zahangir Saleh, T Hassan Abdalla Hashim, Aisha Nour, Abdurahman Hamid Mohamad Sazaly, Muhammad Aniq Qawiem Application of IoT for monitoring water quality Sungai Pusu case study |
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The availability of clean water, a critical natural resource essential for supporting diverse ecosystems, is increasingly threatened by sediment accumulation, which negatively impacts rivers, oceans, and coastal environments. During rainy seasons, excessive sediment, including clay particles known as total suspended solids (TSS), contaminates water, compromising its quality, altering its color, and driving up treatment costs. Additionally, sediment can carry pollutants that reduce water clarity, harm aquatic life, and disrupt ecosystem functions. Conventional water treatment methods—such as coagulation, flocculation, sedimentation, and filtration are commonly employed to address these challenges. However, traditional water quality monitoring relies heavily on laboratory tests that require specialized personnel, chemicals, and expertise, which may not always be adequate for timely and effective intervention. The advent of Internet of Things (IoT) technology offers a promising alternative by enabling the real-time collection of water quality data. Furthermore, integrating soft computing technology into water quality assessment presents a more efficient, rapid, and environmentally sustainable alternative to traditional laboratory-based approaches. This research utilizes an IoT device to monitor the performance of a water treatment system and gather data on its water quality indicators. Integrating IoT devices into water treatment systems enables real-time monitoring, automated control, and predictive maintenance, leading to improved efficiency, cost savings, and proactive water quality management. These technologies enable real-time monitoring and analysis, reducing the need for manual sampling and laboratory testing, which lowers labor and operational costs. Early detection and automated intervention help prevent costly repairs and environmental damage by addressing issues before they escalate. A novel IoT-based monitoring system of integrating soft computing into water quality assessment has been achieved. |
format |
Article |
author |
Kabbashi, Nassereldeen Ahmed Hasan, Tahsin Fuad Alam, Md. Zahangir Saleh, T Hassan Abdalla Hashim, Aisha Nour, Abdurahman Hamid Mohamad Sazaly, Muhammad Aniq Qawiem |
author_facet |
Kabbashi, Nassereldeen Ahmed Hasan, Tahsin Fuad Alam, Md. Zahangir Saleh, T Hassan Abdalla Hashim, Aisha Nour, Abdurahman Hamid Mohamad Sazaly, Muhammad Aniq Qawiem |
author_sort |
Kabbashi, Nassereldeen Ahmed |
title |
Application of IoT for monitoring water quality Sungai Pusu case study |
title_short |
Application of IoT for monitoring water quality Sungai Pusu case study |
title_full |
Application of IoT for monitoring water quality Sungai Pusu case study |
title_fullStr |
Application of IoT for monitoring water quality Sungai Pusu case study |
title_full_unstemmed |
Application of IoT for monitoring water quality Sungai Pusu case study |
title_sort |
application of iot for monitoring water quality sungai pusu case study |
publisher |
IIUM Press, IIUM |
publishDate |
2024 |
url |
http://irep.iium.edu.my/117622/7/117622_Application%20of%20IoT%20for%20monitoring.pdf http://irep.iium.edu.my/117622/ https://journals.iium.edu.my/bnrej/index.php/bnrej/issue/view/13 https://doi.org/10.31436/cnrej.v8i2.106 |
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1821105156914151424 |
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13.244413 |