Volume 3 Issue 2 | 2026 | View PDF
Paper Id:IJMSM-V3I2P106
doi: 10.71141/30485037/V3I2P106

Automated Flood Monitoring and Alarm with Real- Time SMS Notification

Grace Faith L. Morri, Micaiah Nicole A. Macarambon, John Lawrince M. Loque, Cyrus Jim T. Debuayan, Christian Guillemore O. Susi

Citation:
Grace Faith L. Morri, Micaiah Nicole A. Macarambon, John Lawrince M. Loque, Cyrus Jim T. Debuayan, Christian Guillemore O. Susi, "Automated Flood Monitoring and Alarm with Real- Time SMS Notification" International Journal of Multidisciplinary on Science and Management, Vol. 3, No. 2, pp. 48-61, 2026.

Abstract:
Flooding remains one of the most destructive natural hazards in the Philippines, causing loss of lives, property damage, and economic disruption each year. Many existing flood monitoring systems are costly, limited in coverage, or dependent on manual observation, which may delay warnings. This study aimed to design and develop a functional prototype of an automated flood monitoring and alarm system with real-time SMS notification to provide early warnings to communities at risk. The system hardware comprises an ultrasonic sensor, Arduino Uno microcontroller, GSM SIM A7670E module, LCD display, and buzzer alarm; it is programmed via Arduino IDE to classify water levels into Safe, Warning, and Danger stages, triggering alarms, SMS alerts, and calls as thresholds are met. Testing includes three components: sensor effectiveness to measure accuracy across 5–25cm distances, communication effectiveness to evaluate SMS/call delivery speed, and functionality testing to verify alarm activation using an aquarium to simulate rising water levels, following standard formulas to calculate error rates and transmission delays. Results showed that the ultrasonic sensor achieved an average error percentage of 0.0072%, with an overall accuracy of 99 9928% SMS notifications were generally received within 4 to 6 seconds, while automated calls were successfully connected in an average of 2.4 seconds under stable network conditions. Although occasional network errors occurred, the system consistently responded according to the programmed flood levels. The findings demonstrate that the developed prototype is reliable and effective as an early flood warning system.

Keywords: Arduino Uno, Early warning, Flood monitoring system, GSM SIM A7670E module, Prototype, SMS notification, Ultrasonic sensor, Water level detection.

References:
1. B. Arshad, et al., “Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review,” Sensors, vol. 19, no. 22, p. 5012, 2019.
2. N.A. Athirah, et al., “Solar-Powered Flood Early Warning System with Short Message Service (SMS) Notifications,” Green and Sustainable Energy Focus Group (GSEnergy), vol. 3, no. 18, pp. 1156–1162, 2019.
3. S. Azid, et al., “SMS Based Flood Monitoring and Early Warning System,” ARPN Journal of Engineering and Applied Sciences, pp. 6387–6391, 2015.
4. F. Christopher, “Review of Related Literature About Floods Management & Socio-Economic Development of People of Kambuga Subcounty,” International Journal of Academic Management Science Research (IJAMSR), vol. 6, no. 7, pp. 160–164, 2022.
5. E. Daminon, and M. Yaacob, “Solar Powered Water Level Monitoring System for Flood Management in Rural Area Using GSM Module,” Evolution in Electrical and Electronic Engineering, vol. 5, no. 2, pp. 98–107, 2024.
6. L. Hashemi-Beni, M. Puthenparampil, and A. Jamali, “A Low-Cost IoT-Based Deep Learning Method of Water Gauge Measurement for Flood Monitoring,” Geomatics, Natural Hazards and Risk, vol. 15, no. 1, p. 2364777, 2024.
7. N. Kamal, et al., “Development and Implementation of an IoT-Based Early Flood Detection and Monitoring System Utilizing Time Series Forecasting for Real-Time Alerts in Resource-Constrained Environments,” Malaysian Journal of Science and Advanced Technology, vol. 5, no. 1, pp. 30–36, 2025.
8. A.M. Lagmay, et al., “Disseminating Near-Real-Time Hazards Information and Flood Maps in the Philippines Through Web-GIS,” Journal of Environmental Sciences, vol. 59, pp. 13–23, 2017.
9. A. Magnaye, et al., “Automated Flood Water Level Sensor and Alarm System Using Arduino Uno,” International Journal of Research Studies in Educational Technology, vol. 8, no. 3, pp. 61–69, 2024.
10. L.K. Tolentino, et al., “Real Time Flood Detection, Alarm and Monitoring System Using Image Processing and Multiple Linear Regression,” SSRN Electronic Journal, 2022.
11. L. Williams, J. Arguillas, and F. Arguillas, “Major Storms, Rising Tides, and Wet Feet: Adapting to Flood Risk in the Philippines,” International Journal of Disaster Risk Reduction, p. 101810, 2020.
12. A.N. Yumang, et al., “Real-Time Flood Water Level Monitoring System With SMS Notification,” Institute of Electrical and Electronics Engineers (IEEE), pp. 1–3, 2017.
13. N.M. Zain, et al., “Flood Warning and Monitoring System (FWMS) Using GSM Technology,” Journal of Computing Research and Innovation, vol. 5, no. 1, pp. 7–18, 2020.