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Post-earthquake response by small UAV helicopters

Author

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  • Arman Nedjati
  • Bela Vizvari
  • Gokhan Izbirak

Abstract

The aim of this study was to introduce a new relief distribution system for emergency response after an earthquake. Extensive literature is used to explain the ground transportation difficulties following a disaster and some possible alternative choices. Due to roads blockage and time limits in the disaster response phase, small unmanned aerial vehicle (UAV) helicopter can be utilized as relief distributors. The use of UAV helicopters for humanitarian purposes and even for commercial purposes by some companies has been discussed in several publications. Yet no one has considered an autonomous small UAV helicopter network for post-earthquake relief distribution in highly populated cities. In an applied sense, the study offers a system that helps earthquake response managers in the early hours following an earthquake. The suggested system is a synthesis of many new technical results achieved in the area of earthquake detection, data fusion, and UAV helicopters. The relief distribution system by medium-scale UAV helicopters is investigated in Tehran metropolis as a case study for the worst-case earthquake scenario. The outcomes reveal that the system has efficient capability for urban areas with high population density. The proposed aerial distribution system can supply a large amount of demand in a small amount of time. Moreover, it works without disturbing the ground transportation system and may turn out to be managed as a complementary system for serving the affected people in non-accessible areas. Copyright Springer Science+Business Media Dordrecht 2016

Suggested Citation

  • Arman Nedjati & Bela Vizvari & Gokhan Izbirak, 2016. "Post-earthquake response by small UAV helicopters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1669-1688, February.
  • Handle: RePEc:spr:nathaz:v:80:y:2016:i:3:p:1669-1688
    DOI: 10.1007/s11069-015-2046-6
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    References listed on IDEAS

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    1. Tienan Feng & Zhonghua Hong & Hengjing Wu & Qiushi Fu & Chaoxin Wang & Chenghua Jiang & Xiaohua Tong, 2013. "Estimation of earthquake casualties using high-resolution remote sensing: a case study of Dujiangyan city in the May 2008 Wenchuan earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1577-1595, December.
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    Cited by:

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    5. Mahmoud Golabi & Seyed Mahdi Shavarani & Gokhan Izbirak, 2017. "An edge-based stochastic facility location problem in UAV-supported humanitarian relief logistics: a case study of Tehran earthquake," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1545-1565, July.
    6. Sabir, Muhammad & Marwan, Muhammad & Ahmad, Salman & Fiaz, Muhammad & Khan, Farhan, 2020. "Observer and descriptor satisfying incremental quadratic constraint for class of chaotic systems and its applications in a quadrotor chaotic system," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    7. Farzaneh, Mohammad Amin & Rezapour, Shabnam & Baghaian, Atefe & Amini, M. Hadi, 2023. "An integrative framework for coordination of damage assessment, road restoration, and relief distribution in disasters," Omega, Elsevier, vol. 115(C).
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    9. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.

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