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A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact

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Department of Geography, Ghent University, Belgium, Krijgslaan 281, 9000 Ghent, Belgium
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Department Industrial Systems Engineering and Product Design, Ghent University, Technologiepark 46, B-9052 Ghent, Belgium
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Flanders Make, Oude Diestersebaan 133, B-3920 Lommel, Belgium
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Author to whom correspondence should be addressed.
Water 2019, 11(11), 2275; https://doi.org/10.3390/w11112275
Received: 25 September 2019 / Revised: 21 October 2019 / Accepted: 28 October 2019 / Published: 30 October 2019
(This article belongs to the Section Urban Water Management)
Worldwide, flood events frequently have a dramatic impact on urban societies. Time is key during a flood event in order to evacuate vulnerable people at risk, minimize the socio-economic, ecologic and cultural impact of the event and restore a society from this hazard as quickly as possible. Therefore, detecting a flood in near real-time and assessing the risks relating to these flood events on the fly is of great importance. Therefore, there is a need to search for the optimal way to collect data in order to detect floods in real time. Internet of Things (IoT) is the ideal method to bring together data of sensing equipment or identifying tools with networking and processing capabilities, allow them to communicate with one another and with other devices and services over the Internet to accomplish the detection of floods in near real-time. The main objective of this paper is to report on the current state of research on the IoT in the domain of flood detection. Current trends in IoT are identified, and academic literature is examined. The integration of IoT would greatly enhance disaster management and, therefore, will be of greater importance into the future. View Full-Text
Keywords: Internet of Floods; IOF; FLIAT; flood impact assessment; urban floods; disruption potential Internet of Floods; IOF; FLIAT; flood impact assessment; urban floods; disruption potential
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Van Ackere, S.; Verbeurgt, J.; De Sloover, L.; Gautama, S.; De Wulf, A.; De Maeyer, P. A Review of the Internet of Floods: Near Real-Time Detection of a Flood Event and Its Impact. Water 2019, 11, 2275.

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