Issue |
E3S Web Conf.
Volume 477, 2024
International Conference on Smart Technologies and Applied Research (STAR'2023)
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Article Number | 00093 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/e3sconf/202447700093 | |
Published online | 16 January 2024 |
Real Time Water Quality Monitoring of River Pamba (India) using Internet of Things
1 Department of Information Technology, Petaling Jaya, Lincoln University College Selangor Darul Ehsan, Malaysia
2 Marian College Kuttikkanam, Kerala, India
3 Department of Computer Science and Engineering, Saintgits College of Engineering Kottayam, Kerala, India
— All of Earth’s living things depend on food and clean water to survive. River water monitoring is essential for gathering the data required to manage water quality in the present as well as the future. In this research, the water quality of the Pamba River is monitored and analyzed using the Internet of Things (IoT) during the monsoon and summer seasons. The Pamba River is the third-longest river in the Indian state of Kerala and one of the primary sources of drinking water in Kerala’s Pathanamthitta and Alappuzha districts. In conventional systems, the monitoring procedure entails manually collecting water samples from various places, followed by testing and analysis in a lab. This is costly and time-consuming. With developments in sensors, communication, and the Internet of Things (IoT), monitoring water contamination has become more and more crucial in recent years and provides accurate data. The system collects information from IoT sensors to evaluate the quality of the water, including pH, dissolved oxygen, temperature changes, and other parameters. The relevant officials are alerted in the case of any variation, and all of this data is stored in the cloud. The system also ensures real-time water quality monitoring.
Key words: Pamba River / Water Quality / Water Quality Monitoring / Internet of Things
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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