Advanced search
1 file | 4.64 MB Add to list

A review of the internet of floods : near real-time detection of a flood event and its impact

Samuel Van Ackere (UGent) , Jeffrey Verbeurgt (UGent) , Lars De Sloover (UGent) , Sidharta Gautama (UGent) , Alain De Wulf (UGent) and Philippe De Maeyer (UGent)
(2019) WATER. 11(11).
Author
Organization
Abstract
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.
Keywords
Internet of Floods, IOF, FLIAT, flood impact assessment, urban floods, disruption potential, DISASTER MANAGEMENT, PERCEIVED STRESS, NEURAL-NETWORK, HEART-RATE, SATELLITE, SAR, BIOSENSORS, SYSTEM, THINGS, URBAN

Downloads

  • water-11-02275.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 4.64 MB

Citation

Please use this url to cite or link to this publication:

MLA
Van Ackere, Samuel, et al. “A Review of the Internet of Floods : Near Real-Time Detection of a Flood Event and Its Impact.” WATER, vol. 11, no. 11, 2019.
APA
Van Ackere, S., Verbeurgt, J., De Sloover, L., Gautama, S., De Wulf, A., & De Maeyer, P. (2019). A review of the internet of floods : near real-time detection of a flood event and its impact. WATER, 11(11).
Chicago author-date
Van Ackere, Samuel, Jeffrey Verbeurgt, Lars De Sloover, Sidharta Gautama, Alain De Wulf, and Philippe De Maeyer. 2019. “A Review of the Internet of Floods : Near Real-Time Detection of a Flood Event and Its Impact.” WATER 11 (11).
Chicago author-date (all authors)
Van Ackere, Samuel, Jeffrey Verbeurgt, Lars De Sloover, Sidharta Gautama, Alain De Wulf, and Philippe De Maeyer. 2019. “A Review of the Internet of Floods : Near Real-Time Detection of a Flood Event and Its Impact.” WATER 11 (11).
Vancouver
1.
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(11).
IEEE
[1]
S. Van Ackere, J. Verbeurgt, L. De Sloover, S. Gautama, A. De Wulf, and P. De Maeyer, “A review of the internet of floods : near real-time detection of a flood event and its impact,” WATER, vol. 11, no. 11, 2019.
@article{8633934,
  abstract     = {{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.}},
  articleno    = {{2275}},
  author       = {{Van Ackere, Samuel and Verbeurgt, Jeffrey and De Sloover, Lars and Gautama, Sidharta and De Wulf, Alain and De Maeyer, Philippe}},
  issn         = {{2073-4441}},
  journal      = {{WATER}},
  keywords     = {{Internet of Floods,IOF,FLIAT,flood impact assessment,urban floods,disruption potential,DISASTER MANAGEMENT,PERCEIVED STRESS,NEURAL-NETWORK,HEART-RATE,SATELLITE,SAR,BIOSENSORS,SYSTEM,THINGS,URBAN}},
  language     = {{eng}},
  number       = {{11}},
  pages        = {{27}},
  title        = {{A review of the internet of floods : near real-time detection of a flood event and its impact}},
  url          = {{http://dx.doi.org/10.3390/w11112275}},
  volume       = {{11}},
  year         = {{2019}},
}

Altmetric
View in Altmetric
Web of Science
Times cited: