Flash flood risk management modeling in indian cities using IoT based reinforcement learning

Goyal, Himanshu Rai; Ghanshala, Kamal Kumar; Sharma, Sachin

doi:10.1016/j.matpr.2021.01.072

Cited by 8 publications

(4 citation statements)

References 15 publications

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“…Prediction (Mitra et al, 2016) and forecasting (Costache and Tien Bui, 2019), creating maps for better risk management of flood hazard (Arabameri et al, 2020) Prediction and monitoring (Furquim et al, 2018;Arshad et al, 2019), management (Goyal et al, 2021) In combination with machine learning it is used for prediction (Hussein, 2019) and the monitoring and managing of flash floods (Mishra, 2021).…”

Section: Terror Attacksmentioning

confidence: 99%

“…As (Adeel et al, 2018) and (Ray et al, 2017) have shown, IoT is a relevant enabler to enhance disaster monitoring and management for multiple hazards such as earthquakes, terror attacks, and flash floods, often in combination with machine learning or AI applications (e.g. Kaur and Sood, 2019;Goyal et al, 2021). The application of IoT seems very promising for DDR as it can be used in real time, e.g.…”

Section: Wildfiresmentioning

confidence: 99%

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What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

Kuratle,

Dallo,

Marti

et al. 2024

Seismica

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Disaster risk is increasing globally. Emerging technologies – Artificial Intelligence, Internet of Things, and remote sensing – are becoming more important in supporting disaster risk reduction and enhancing safety culture. Despite their presumed benefits, most research focuses on their technological potential, whereas societal aspects are rarely reflected. Taking a societal perspective is vital to ensure that these technologies are developed and operated in ways that benefit societies’ resilience, comply with ethical standards, are inclusive, and address potential risks and challenges. Therefore, we were particularly interested in understanding how societal impacts can be considered and leveraged throughout the development process. Based on an explorative literature review, we developed a toolbox for professionals working on emerging technologies in disaster risk reduction. By applying a Delphi study with experts on AI in seismology, we iteratively adapted and tested the toolbox. The results show that there is a need for guided reflection in order to foster discussion on the societal impacts. They further indicate a gap in the common understanding that is crucial for developing inclusive technologies or defining regulations. Our toolbox was found to be useful for professionals in reflecting on their developments and making technologies societally relevant, thereby enhancing societies’ resilience.

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Section: Terror Attacksmentioning

confidence: 99%

Section: Wildfiresmentioning

confidence: 99%

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

Kuratle,

Dallo,

Marti

et al. 2024

Seismica

View full text Add to dashboard Cite

show abstract

“…Also, the agency integrated its own sensors, such as unmanned vehicles equipped with GPS sensors, acoustic detection, distance measurement, and motion sensing, and drones equipped with GPS sensors and cameras [91,92]. Regarding disaster mitigation, Goyal et al [96] and Rahman et al [47] collected water level data to open the floodgates. Rahman et al [47] used ultrasonic sensors and a force-sensitive resistor to measure the water level.…”

Section: Sensorsmentioning

confidence: 99%

“…Some scholars designed mitigation measures specifically for floods. Goyal et al [96] use reinforcement learning to develop gate-control systems on Flash Flood Bypass Waterways to evacuate the flood water to channels. Rahman et al [47] also controlled the valves based on water level data collected by sensors.…”

Section: Analysis and Applications Of Sensor Datamentioning

confidence: 99%

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

Zeng,

Pang,

Tang

2023

Sensors

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The occurrence of disasters has the potential to impede the progress of sustainable urban development. For instance, it has the potential to result in significant human casualties and substantial economic repercussions. Sustainable cities, as outlined in the United Nations Sustainable Development Goal 12, prioritize the objective of disaster risk reduction. According to the Gesi Smarter 2030, the Internet of Things (IoT) assumes a pivotal role in the context of smart cities, particularly in domains including smart grids, smart waste management, and smart transportation. IoT has emerged as a crucial facilitator for the management of disasters, contributing to the development of cities that are both resilient and sustainable. This systematic literature analysis seeks to demonstrate the sensors utilized in IoT for the purpose of urban catastrophe management. The review encompasses both the pre-disaster and post-disaster stages, drawing from a total of 72 articles. During each stage, we presented the characteristics of sensors employed in IoT. Additionally, we engaged in a discourse regarding the various communication technologies and protocols that can be utilized for the purpose of transmitting the data obtained from sensors. Furthermore, we have demonstrated the methodology for analyzing and implementing the data within the application layer of IoT. In conclusion, this study addresses the existing research deficiencies within the literature and presents potential avenues for future exploration in the realm of IoT-enabled urban catastrophe management, drawing upon the findings of the evaluated publications.

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MCDM-based flood risk assessment of metro systems in smart city development: A review

Lyu

Yin

Zhou

et al. 2023

Environmental Impact Assessment Review

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Flash flood risk management modeling in indian cities using IoT based reinforcement learning

Cited by 8 publications

References 15 publications

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

What does my technology facilitate`? A toolbox to help researchers understand the societal impact of a technology in the context of disasters

Sensors on the Internet of Things Systems for Urban Disaster Management: A Systematic Literature Review

MCDM-based flood risk assessment of metro systems in smart city development: A review

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