FLODAREM: Intelligent Flood Detection and Dam Reservoir Monitoring System

Sharma, Pradeep; Basu, Shatabdi; Bairagi, Kingshuk; Ahmed, Afaq

doi:10.1109/ccwc57344.2023.10099091

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Additionally, it employs smoke sensors to prevent re outbreaks in hydroelectric plants, ensuring prompt alerts to the relevant authorities. (Sharma et al, 2023) explored that the existing dam reservoir monitoring systems in India heavily rely on water gauges to identify potentially hazardous water levels indicative of oods. However, these systems face challenges due to the remote locations of dams, resulting in high costs and signi cant human resources needed for continuous monitoring and maintenance.…”

Section: Previous Studiesmentioning

confidence: 99%

Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino

Singh,

Dey,

Pandey

2023

Preprint

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Flood detection is a critical aspect of disaster management, aiming to provide timely alerts and mitigate potential damage. This research presents a novel approach to flood detection by integrating IoT Arduino technology with text-driven flood alert systems. The primary objective of this study is to design and develop a cost-effective and efficient flood detection system that leverages Internet of Things (IoT) capabilities to deliver real-time flood alerts through text messages. The methodology employed in this research involves the deployment of Arduino-based sensors in flood-prone areas to monitor water levels. These sensors continuously collect data and transmit it to a central processing unit, which analyses the data for flood patterns. When a potential flood is detected, the system sends instant text messages to local authorities and residents, enabling rapid response and evacuation if necessary. Additionally, the system allows users to customize alert thresholds and receive alerts based on their preferences, enhancing its user-friendliness. The contributions of this research are two-fold. Firstly, it introduces an innovative flood detection system that is not only affordable but also highly accessible to communities in flood-prone regions. By utilizing text messages, it ensures that alerts reach a wide audience, including those without access to smartphones or the internet. Secondly, the system's flexibility and customization options empower users to tailor alerts to their specific needs, promoting community engagement and preparedness. In conclusion, this research offers a robust flood detection solution that combines IoT technology with user-friendly text-driven alerts, ultimately enhancing disaster resilience in vulnerable regions.

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Section: Previous Studiesmentioning

confidence: 99%

Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino

Singh,

Dey,

Pandey

2023

Preprint

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A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment

Tao,

Tian,

Adhikari

et al. 2024

Sensors

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Floods are the most destructive, widespread, and frequent natural hazards. The extent of flood events is accelerating in the context of climate change, where flood management and disaster mitigation remain important long-term issues. Different studies have been utilizing data and images from various types of sensors for mapping, assessment, forecasting, early warning, rescue, and other disaster prevention and mitigation activities before, during, and after floods, including flash floods, coastal floods, and urban floods. These monitoring processes evolved from early ground-based observations relying on in situ sensors to high-precision, high-resolution, and high-coverage monitoring by airborne and remote sensing sensors. In this study, we have analyzed the different kinds of sensors from the literature review, case studies, and other methods to explore the development history of flood sensors and the driving role of floods in different countries. It is found that there is a trend towards the integration of flood sensors with artificial intelligence, and their state-of-the-art determines the effectiveness of local flood management to a large extent. This study helps to improve the efficiency of flood monitoring advancement and flood responses as it explores the different types of sensors and their effectiveness.

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FLODAREM: Intelligent Flood Detection and Dam Reservoir Monitoring System

Cited by 2 publications

References 10 publications

Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino

Flood Detection System: Text-Driven Flood Alert Systems with IoT Arduino

A Review of Cutting-Edge Sensor Technologies for Improved Flood Monitoring and Damage Assessment

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