FLOODALERT: an internet of things based real-time flash flood tracking and prediction system

Prakash, Chandra; Barthwal, Anurag; Acharya, Debopam

doi:10.1007/s11042-023-15298-w

Cited by 6 publications

(7 citation statements)

References 49 publications

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“…The kernel module design was based on integrating an Arduino Uno electronic prototyping platform and a C/C++ based language, containing several different I/O pins, with the primary function of connecting to all system peripherals [35]. The rationale for using the Arduino Uno was because it is a microcontroller that is well-established and has been tested with positive results [1,2,4,31,32,[35][36][37][38].…”

Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

“…This device controls the mechanism using the GSM system (Global System for Mobile Communication). It is important to note that the component can access the internet through a SIM card chip [31,32,[36][37][38].…”

Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

“…Consequently, conductivity can be correlated with total dissolved solids and chloride ions. Therefore, any aquatic organism's continuity, development, or reproduction is primarily controlled by the concentration of dissolved ions in the lake water [37].…”

Section: Electrical Conductivity (Ec) and Total Dissolved Solids (Tds)mentioning

confidence: 99%

See 2 more Smart Citations

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Zukeram

Provensi

Oliveira

et al. 2023

Water

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The monitoring of water resources through conventional methods, related to a manual process when performing the sample collection, followed by laboratory analysis, presents some difficulties concerning the logistics of the process, such as access to the interior of a lake, in addition to often being based on a small number of samples. The concept of the internet of things (IoT) is used here to collect data through five parametric probes contained in the floating station located inside a lake and inform them in real time continuously. The main objective of this research is to demonstrate the applicability of the IoT concept in the continuous monitoring of water in a lentic environment. Therefore, it is necessary to develop a tool for this. Upon reaching this objective, the advantages observed in this research confirmed that the IoT paradigm is an essential resource, justifying a natural tendency to establish itself when there is a need to collect data efficiently and continuously. Furthermore, the experimental result proves the IoT concept’s efficiency, agility, and reliability to environmental issues, especially regarding the most significant natural and indispensable resource for the planet, water.

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Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

Section: The Kernel Module and Its Assignmentsmentioning

confidence: 99%

See 1 more Smart Citation

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Zukeram

Provensi

Oliveira

et al. 2023

Water

View full text Add to dashboard Cite

show abstract

“…Thus, the Arduino platform [11,12,14,[23][24][25][26][27][28][29], an open-source platform, will be used as a basis for building this platform and the modules with ZigBee technology [30][31][32][33][34] for building the wireless sensor network.…”

Section: Introductionmentioning

confidence: 99%

“…Although there are no standardized procedures for the frequency of measurements of these parameters, there is a high logistics cost for dispensing personnel and equipment to the collection points. The importance of water quality monitoring has led to the search for autonomous, low-cost, reliable, and flexible solutions [11][12][13][14][15][16][17][22][23][24][25][26][27][28][29], such as using a wireless sensor network to carry out water quality monitoring in different areas. One point of interest concerning this network is its ability to communicate with an information processing center to make this information available to bodies responsible for environmental monitoring, whether public or not, and citizens in general.…”

Section: Introductionmentioning

confidence: 99%

Development of a Platform for Monitoring the Levels of Dispersed Oxygen in River Components of a Water Supply Micro Basin Using Programmable Microcontrollers

Sakiyama

Zukeram

Ruiz

et al. 2023

Water

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The Internet of Things (IoT) has become widespread. Widely used worldwide, it already penetrates all spheres of life, and its symbiosis with the environment has become increasingly important and necessary. IoT in life sciences has gained much importance because it minimizes the costs associated with field research, shipments, and transportation of the sensors needed for physical and chemical measurements. This study proposes an IoT water monitoring system in real time that allows the measurement of dissolved oxygen levels in water at several monitoring points in a difficult-to-access location, the Pirapo River, in southern Brazil, responsible for supplying water to large urban centers in the region. The proposed method can be used in urban and rural areas for consumption and quality monitoring or extended to a modern water infrastructure that allows water providers and decision makers to supervise and make optimal decisions in difficult times. The experimental results prove that the system has excellent perspectives and can be used practically for environmental monitoring, providing interested parties with experiences acquired during the system implementation process and timely relevant information for safe decision making.

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Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review

Akinsoji,

Adelodun,

Adeyi

et al. 2024

Water Resour Manage

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FLOODALERT: an internet of things based real-time flash flood tracking and prediction system

Cited by 6 publications

References 49 publications

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Development of a Platform for Monitoring the Levels of Dispersed Oxygen in River Components of a Water Supply Micro Basin Using Programmable Microcontrollers

Integrating Machine Learning Models with Comprehensive Data Strategies and Optimization Techniques to Enhance Flood Prediction Accuracy: A Review

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