Live Flood Detection System: FloodWatch

Flood incidents occur annually in Taman Negara Endau Rompin Selai Bekok due to continuous substantial rains during the rainy period. The absence of a structured flood tracking and detection system limits effective information dissemination regarding flooding to the public; currently, visitors are only informed at office counters. This inefficient conventional method should be upgraded to a real time flood monitoring and alert system utilizing Internet of things (IoT) technology. UTHM personnel have requested the development of an easily accessible flood detection system via tablets or smartphones to efficiently relay flood information to visitors. Consequently, a flood detection system called “Floodwatch” was developed. The prototype provides live water level readings, air temperature, humidity, and flood images to users. The prototype has undergone rigorous testing to ensure stability, consistency, and accuracy, enabling its effective utilization. The Floodwatch system aims to enhance safety and awareness during flood events in the Taman Negara Endau Rompin Selai Bekok area.

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Publication Details

Published
2025-04-22
DOI
https://doi.org/10.3390/engproc2025084090
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Live Flood Detection System: FloodWatch

Mohd Shamian Zainal, Maizul Ishak, Azmi Sidek, Muladi Muladi et al.
Network Security and Intrusion Detection
article

Live Flood Detection System: FloodWatch

Mohd Shamian Zainal, Maizul Ishak, Azmi Sidek, Muladi Muladi, Khairun Nidzam Ramli, Mohd Noh Dalimin, Mohamad Md Som, Azli Yusop, Wahyu Mulyo Utomo, Mohd Ikhsan, Shipun Anuar Hamzah‏, Nor Azizi Yusoff
article en

Abstract

Flood incidents occur annually in Taman Negara Endau Rompin Selai Bekok due to continuous substantial rains during the rainy period. The absence of a structured flood tracking and detection system limits effective information dissemination regarding flooding to the public; currently, visitors are only informed at office counters. This inefficient conventional method should be upgraded to a real time flood monitoring and alert system utilizing Internet of things (IoT) technology. UTHM personnel have requested the development of an easily accessible flood detection system via tablets or smartphones to efficiently relay flood information to visitors. Consequently, a flood detection system called “Floodwatch” was developed. The prototype provides live water level readings, air temperature, humidity, and flood images to users. The prototype has undergone rigorous testing to ensure stability, consistency, and accuracy, enabling its effective utilization. The Floodwatch system aims to enhance safety and awareness during flood events in the Taman Negara Endau Rompin Selai Bekok area.

State University of Malang (ID), Tun Hussein Onn University of Malaysia (MY)
Universiti Tun Hussein Onn Malaysia
Climate action
Openalex Percentile: Top 92%
Network Security and Intrusion Detection
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Live Flood Detection System: FloodWatch — Mohd Shamian Zainal, Maizul Ishak, et al. · (2025) | TGRS Research Map | TGRS