| Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 7 | |
| Section | Disaster Monitoring and Mitigation | |
| DOI | https://doi.org/10.1051/e3sconf/202346401004 | |
| Published online | 18 December 2023 | |
Wireless Sensor Network (WSN) of a flood monitoring system based on the Internet of Things (IoT)
1 MCG-Instrumentation Program Study, State College of Meteorology, Climatology, and Geophysics, Jakarta, Indonesia
2 Physics Department, Universitas Indonesia, Indonesia
* Corresponding author: agustina.rahmawardani@stmkg.ac.id
Indonesia records exceptionally high rainfall, particularly during the rainy season when almost all areas of the country are consistently showered with heavy rain. Vigilance is therefore crucial due to the risk of flooding from overflowing rivers or dams. It is essential to develop flood monitoring systems to mitigate the risk and impact of flooding. This study aimed to design and build a flood monitoring system with parameters that support flood warnings. These include measurement of the water level using an ultrasonic sensor and rainfall using a tipping bucket-based hall sensor. The flood detection system was installed at Pondok Aren, Tangerang Selatan, Banten. A website was developed to display information on water levels and rainfall measurements every 10 minutes, as well as cumulative rainfall over 24 hours, presented in values, tables, and graphs. The device design included a warning feature in the form of a strobe light that would activate if the water level exceeded the minimum threshold in addition to providing rainfall status notifications. The system performed well in trials, with data transmitted to the database every 10 minutes. Raingauge sensors exhibited a 0.86% error rate, while the ultrasonic sensor showed an average error rate of just 0.25%.
© The Authors, published by EDP Sciences, 2023
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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