Development of Smart Flood Monitoring and Early Warning System using Weather Forecasting Data and Wireless Sensor Networks-A Review

Subashini, M.J; Sudarmani, R.; Gobika, S; Varshini, R.

doi:10.1109/icicv50876.2021.9388418

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…It is essential to recognize weather events and their possible influence in order to protect the power system. In the literature [5,6,[8][9][10]15,23,26], there is a detailed general instruction for weather hazard prevention, and suggested solutions for the prevention of specific weather hazards [32,35,36,38,39,41,[44][45][46][48][49][50][51][52][53][54][55][56]. In this article, the authors showed the scheme for establishing an early warning weather hazard system for overall power system control and proposed the risk index calculation as an example.…”

Section: Discussionmentioning

confidence: 99%

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Early Warning Weather Hazard System for Power System Control

2022

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Power systems and their primary components, mostly the transmission and distribution of overhead lines, substations, and other power facilities, are distributed in space and are exposed to various atmospheric and meteorological conditions. These conditions carry a certain level of risk for reliable electrical power delivery. Various atmospheric hazards endanger the operation of power systems, where the most significant are thunderstorms, wildfire events, and floods which can cause various ranges of disturbances, faults, and damages to the power grid, or even negatively affect the quality of life. By utilizing a weather monitoring and early warning system, it is possible to ensure a faster reaction against different weather-caused fault detections and elimination, to ensure a faster and more adequate preparation for fighting extreme weather events, while maintaining overhead line protection and fault elimination. Moreso, it is possible to bypass overhead lines that have the highest risk of unfavorable meteorological events and hazards, and reroute the energy, thus providing electricity to endangered areas in times of need while minimizing blackouts, and consequently, improving the quality of human life. This paper will present an analysis of the various risks of atmospheric phenomena, in the meteorological and climate context, and discuss various power system components, the power system control, operations, planning, and power quality. A concept with the main functionalities and data sources needed for the establishment of an early warning weather hazard system will be proposed. The proposed solution can be used as a utility function in power system control to mitigate risks to the power system due to atmospheric influences and ongoing climate change.

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Section: Discussionmentioning

confidence: 99%

“…Another option in flood protection is to combine usual weather forecasting data and information about water fluctuations provided by wireless sensors. The sensors are fixed on riverbanks and provide continuous water state information [53].…”

Section: Different Hazard Assessment or Prevention Examplesmentioning

confidence: 99%

Early Warning Weather Hazard System for Power System Control

2022

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“…For real-time flood monitoring, a wireless sensor network system with sensor hubs strategically placed in flood-prone locations has been created. Due to its adaptability and effective data collection capabilities, this technology can be used for a variety of real-time projects [5]. For monitoring and managing undesirable occurrences like intrusions and dangerous situations, a wireless security system using GSM and ZigBee modems has been proposed [6].…”

Section: Introductionmentioning

confidence: 99%

The Development of Early Flood Monitoring and a WhatsApp-Based Alert System for Timely Disaster Preparedness and Response in Vulnerable Communities

Kavitha,

Yatheesh.K.C.,

Anand

et al. 2024

Cc 2023

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“…Secondly, the determination methods for the relationship between meteorological forecasts and urban waterlogging responses require further optimization. Current monitoring-reliant warning technologies are subject to uncertainties and lags, which undermine the accuracy and timeliness of early warnings [24]. Hence, there is a need to explore warning methods that are independent of monitoring data.…”

Section: Introductionmentioning

confidence: 99%

Methods for Constructing a Refined Early-Warning Model for Rainstorm-Induced Waterlogging in Historic and Cultural Districts

Wu,

Li,

Wang

et al. 2024

Water

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Against the backdrop of increasingly severe global climate change, the risk of rainstorm-induced waterlogging has become the primary threat to the safety of historic and cultural districts worldwide. This paper focuses on the historic and cultural districts of Beijing, China, and explores techniques and methods for identifying extreme rainstorm warnings in cultural heritage areas. Refined warning and forecasting have become important non-engineering measures to enhance these districts’ waterlogging prevention control and emergency management capabilities. This paper constructs a rainstorm-induced waterlogging risk warning model tailored for Beijing’s historical and cultural districts. This model system encompasses three sets of models: a building waterlogging early-warning model, a road waterlogging early-warning model, and a public evacuation early-warning model. During the construction of the model, the core concepts and determination methods of “1 h rainfall intensity water logging index” and “the waterlogging risk index in historical and cultural districts” were proposed. The construction and application of the three models take into full account the correlation between rainfall intensity and rainwater accumulation, while incorporating the characteristics of flood resilience in buildings, roads, and the society in districts. This allows for a precise grading of warning levels, leading to the formulation of corresponding warning response measures. Empirical tests have shown that the construction method proposed in this paper is reliable. The innovative results not only provide a new perspective and method for the early-warning of rainstorm-induced waterlogging, but also offer scientific support for emergency planning and response in historical and cultural districts.

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Development of Smart Flood Monitoring and Early Warning System using Weather Forecasting Data and Wireless Sensor Networks-A Review

Cited by 10 publications

References 5 publications

Early Warning Weather Hazard System for Power System Control

Early Warning Weather Hazard System for Power System Control

The Development of Early Flood Monitoring and a WhatsApp-Based Alert System for Timely Disaster Preparedness and Response in Vulnerable Communities

Methods for Constructing a Refined Early-Warning Model for Rainstorm-Induced Waterlogging in Historic and Cultural Districts

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