Vehículos aéreos no tripulados en la gestión de emergencia por desastre
Palabras clave:
dron, respuesta a desastres, gestión de riesgos, geografía ambiental, catástrofes naturalesResumen
El crecimiento acelerado de los vehículos aéreos no tripulados, también conocidos como drones, y su aplicación en varios campos de actuación ofrece una oportunidad para su uso en la gestión de emergencia debido a un desastre. Las diversas tecnologías que pueden incorporar los vehículos aéreos no tripulados dotan a los mismos de aplicaciones que pueden ser de gran utilidad en una gestión de desastre, por ejemplo, podrían analizar en detalle (vía mapeo) la región afectada, ayudarían a construir una red de comunicación entre los sobrevivientes de la catástrofe y los equipos de rescate y las redes móviles más cercanas, y podrían recoger todo tipo de información y datos que se transmitiría de forma inmediata al centro de gestión de la emergencia para la toma de decisiones. Entonces, el presente trabajo de revisión analiza las potenciales funcionalidades y prestaciones de los vehículos aéreos no tripulados, como soporte tecnológico en la gestión de emergencias, considerando tanto la tipología de desastre como su actuación en las diferentes fases de desarrollo del desastre y su gestión.
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Abdujabarov, N., Shokirov, R., Takhirov, J., Saytov, K. & Bobomurodov, S. (2020). Prospects of the development of unmanned aerial vehicles (UAVs). Aerospace Engineering. https://onx.la/7efec
Abolt, C., Caldwell, T., Wolaver, B. & Pai, H. (2018). Unmanned aerial vehicle based monitoring of groundwater inputs to surface waters using an economical thermal infrared camera. Optical Engineering, 57(5), 053113. DOI: https://doi.org/10.1117/1.OE.57.5.053113
Ali, K., Nguyen, H., Vien, Q., Shah, P. & Raza, M. (2020). Deployment of drone-based small cells for public safety communication system. IEEE Systems Journal. DOI: 10.1109/JSYST.2019.2959668
Alhelaly, S., Muthanna, A. & Elgendy, I. (2022). Optimizing Task Offloading Energy in Multi-User Multi-UAV-Enabled Mobile Edge-Cloud Computing Systems. Applied Sciences, 12, 6566. DOI: 10.3390/app12136566
Asadzadeh, S., Oliveira, W. & Filho, C. (2022). UAV-based remote sensing for the petroleum industry and environmental monitoring: State-of-the-art and perspectives. Journal of Petroleum Science and Engineering, 208, 109633. DOI: https://doi.org/10.1016/j.petrol.2021.109633
Asnafi, M. & Dastgheibifard, S. (2018). A review on potential applications of unmanned aerial vehicle for construction industry. Sustainable Structure and Materials, 1(2), 44-53. DOI: https://doi.org/10.26392/SSM.2018.01.02.044
Avanzato, R. & Beritelli, F. (2020). A Smart UAV-Femtocell Data Sensing System for Post-Earthquake Localization of People. IEEE Access, 8, 30262-30270. DOI: 10.1109/ACCESS.2020.2972699
Azari, M., Rosas, F. & Pollin, S. (2019). Cellular connectivity for UAVs: Network modeling, performance analysis, and design guidelines. IEEE Transactions on Wireless Communications, 18(7), 3366–3381. DOI: 10.1109/TWC.2019.2910112
Barn, B., Barat, S. & Clark, T. (2017). Conducting Systematic Literature Reviews and Systematic Mapping Studies. Proceedings of the 10th Innovations in Software Engineering Conference. DOI: 10.1145/3021460.3021489
Bendig, J., Yu, K., Aasen, H. & Bolten, A. (2015). Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley. International Journal of Applied Earth Observation and Geoinformation, 39, 79-87. DOI: https://doi.org/10.1016/j.jag.2015.02.012
Cao, X., Yang, P., Alzenad, M., Xi, X., Wu, D. & Yanikomeroglu, H. (2018). Airborne communication networks: A survey. IEEE Journal on Selected Areas in Communications, 36(9), 1907–1926. DOI: 10.1109/JSAC.2018.2864423
Chaudhary, T. & Piracha, A. (2021). Natural Disasters-Origins, Impacts, Management. Encyclopedia, 1(4), 1101-1131. DOI: 10.3390/encyclopedia1040084
Chen, J., Liu, H., Zheng, J., Lv, M., Yan, B., Hu, X. & Gao, Y. (2016). Damage degree evaluation of earthquake area using UAV aerial image. International Journal of Aerospace Engineering, 2052603. DOI: 10.1155/2016/2052603
Chen, J., Mitra, U. & Gesbert, D. (2019). Optimal UAV relay placement for single user capacity maximization over terrain with obstacles. 20th International Workshop on Signal Processing Advances in Wireless Communications. DOI: 10.1109/SPAWC.2019.8815496
Chen, Y., Li, C., Chang, C. & Zheng, M. (2021). Identifying the influence of natural disasters on technological innovation. Economic Analysis and Policy, 70, 22-36. DOI: 10.1016/j.eap.2021.01.016
Chiaraviglio, L., Liu, W., Gutierrez, J. & Blefari-Melazzi, N. (2017). Optimal pricing strategy for 5G in rural areas with unmanned aerial vehicles and large cells. 27th International Telecommunication Networks and Applications Conference. DOI: 10.1109/ATNAC.2017.8215406
CFD Flow Engineering (2024). Classification and Application of Drones. https://acortar.link/yf7kUX
CRED-UNDRR (2020). The human cost of disasters: an overview of the last 20 years (2000-2019). Disaster Epidemiology Research Center / United Nations Office for Disaster Risk Reduction. https://onx.la/23e19
Ejaz, W., Azam, M., Saadat, S., Iqbal, F. & Hanan, A. (2019). Unmanned Aerial Vehicles enabled IoT Platform for Disaster Management. Energies, 12, 2706. DOI: 10.3390/en12142706
Erdelj, M. & Natalizio, E. (2016). UAV-assisted disaster management: Applications and open issues. 2016 International Conference on Computing, Networking and Communications. DOI: 10.1109/ICCNC.2016.7440563
Erdelj, M., Natalizio, E., Chowdhury, K. & Akyildiz, I. (2017). Help from the Sky: Leveraging UAVs for Disaster Management. IEEE Pervasive Computing, 16(1), 24-32. DOI: 10.1109/MPRV.2017.11
Esteve, J. & Benlloch, C. (2017). Rights and Science in the Drone Era Actual Challenges in the Civil Use of Drone Technology. Rights and Science. https://onx.la/4cf50
Fang, Z. & Savkin, A. (2024). Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review. Drones, 8, 193. DOI: https://doi.org/10.3390/drones8050193
Flytbase (2024). Drone for Disaster Management-How Drones are Used for Emergency Response. https://acortar.link/Bw2gvm
Fotouhi, A., Qiang, H., Ding, M., Hassan, M., Giordano, L., Garcia-Rodriguez, A. & Yuan, J. (2019). Survey on UAV cellular communications: Practical aspects, standardization advancements, regulation, and security challenges. IEEE Communications Surveys Tutorials, 21(4), 3417–3442. DOI: 10.1109/COMST.2019.2906228
Furutani, T. & Minami, M. (2021). Drones for Disaster Risk Reduction and Crisis Response. In: Sakurai, M., Shaw, R. (Eds.) Emerging Technologies for Disaster Resilience. Disaster Risk Reduction. Singapore: Springer. DOI: 10.1007/978-981-16-0360-0_4
González, F. & London, S. (2021). Desastres naturales y su impacto. Una revisión metodológica. (2021). Visión de Futuro, 25(1), 43-52. DOI: DOI: 10.36995/j.visiondefuturo.2021.25.01.002.es
Haakonsen, S., Ronnquist, A. & Labonnote, N. (2023). Fifty years of shape grammars: A systematic mapping of its application in engineering and architecture. International Journal of Architectural Computing, 21(1), 5-22. DOI: 10.1177/14780771221089882
Ivushkin, K., Bartholomeus, H., Bregt, A. & Pulatov, A. (2019). UAV based soil salinity assessment of cropland. Geoderma, 338, 502-512. DOI: https://doi.org/10.1016/j.geoderma.2018.09.046
James, K., Randall, N. & Haddaway, N. (2016). A methodology for systematic mapping in environmental sciences. Environmental Evidence, 5, 7. DOI: 10.1186/s13750-016-0059-6
JOUAV (2024). Emergency Response. https://www.jouav.com/industry/emergency-response
Khan, A., Gupta, S. & Gupta, K. (2020). Multi-hazard disaster studies: Monitoring, detection, recovery, and management, based on emerging technologies and optimal techniques. International Journal of Disaster Risk Reduction, 47, 101642. DOI: 10.1016/j.ijdrr.2020.101642
Khan, A., Gupta, S. & Gupta, K. (2021). Unmanned aerial vehicle‐enabled layered architecture based solution for disaster management. Transactions on Emerging Telecommunications Technologies, 32(12), e4370, 1-29. DOI: 10.1002/ett.4370
Kucharczyk, M. & Hugenholtz, C. (2021). Remote sensing of natural hazard-related disasters with small drones: Global trends, biases, and research opportunities. Remote Sensing of Environment, 264, 112577. DOI: https://doi.org/10.1016/j.rse.2021.112577
Lee, S. & Choi, Y. (2016). Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry. Geosystem Engineering, 19(4), 197–204. DOI: https://doi.org/10.1080/12269328.2016.1162115
Li, X. (2018). Deployment of drone base stations for cellular communication without apriori user distribution information. 37th IEEE Chinese Control Conference. DOI: 10.23919/ChiCC.2018.8482797
Liu, B., Zhang, W., Chen, W., Huang, H. & Guo, S. (2020). Online Computation Offloading and Traffic Routing for UAV Swarms in Edge-Cloud Computing. IEEE Transactions on Vehicular Technology, 69(8), 8777-8791. DOI: 10.1109/TVT.2020.2994541
Masum, M., Arrofi, M., Jati, G. & Arifin, F. (2013). Simulation of intelligent unmanned aerial vehicle (UAV) for military surveillance. 2013 International Conference on Advanced Computer Science and Information Systems. DOI: 10.1109/ICACSIS.2013.6761569
Mishra, B., Garg, D., Narang, P. & Mishra, V. (2020). Drone-surveillance for search and rescue in natural disaster. Computer Communications, 156. DOI: 10.1016/j.comcom.2020.03.012
Mishra, D. & Natalizio, E. (2020). A survey on cellular-connected UAVs: Design challenges, enabling 5G/B5G innovations, and experimental advancements. Computer Networks, 182(9), 107451. DOI: 10.1016/j.comnet.2020.107451
Mogili, U. & Deepak, B. (2018). Review on application of drone systems in precision agriculture. Procedia Computer Science, 133, 502-509. DOI: https://doi.org/10.1016/j.procs.2018.07.063
Mohsan, S., Khan, M., Noor, F., Ullah, I. & Alsharif, M. (2022). Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review. Drones, 6(6), 147. DOI: 10.3390/drones6060147
Mozaffari, M., Saad, W., Bennis, M., Nam, Y. & Debbah, M. (2019). A tutorial on UAVs for wireless networks: Applications, challenges, and open problems. IEEE Communications Surveys & Tutorials, 21(3), 2334-2360. DOI: 10.1109/COMST.2019.2902862
Murray, C. & Chu, A. (2015). The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery. Transportation Research Part C, 84, 86-109. DOI: https://doi.org/10.1016/j.trc.2015.03.005
Nikhil, N., Shreyas, S., Vyshnavi, G. & Yadav, S. (2020). Unmanned Aerial Vehicles (UAV) in Disaster Management Applications. Third International Conference on Smart Systems and Inventive Technology. DOI: 10.1109/ICSSIT48917.2020.9214241
Park, J., Das, A. & Park, J. (2015). Application trend of unmanned aerial vehicle (UAV) image in agricultural sector: Review and proposal. Korean Journal of Agricultural Science, 42(3), 269-276. DOI: https://doi.org/10.7744/cnujas.2015.42.3.269
Rathore, N. (2015). Unlocking the potentiality of UAVs in mining industry and its implications. International Journal of Innovative Research in Science, Engineering and Technology, 4(3), 852-855. DOI: 10.15680/IJIRSET.2015.0403007
Sabzehali, J., Shah, V., Fan, Q., Choudhury, B., Liu, L. & Reed, J. (2022). Optimizing Number, Placement, and Backhaul Connectivity of Multi-UAV Networks. IEEE Internet of Things Journal, 9(21), 21548-21560. DOI: 10.1109/JIOT.2022.3184323
Saif, A., Dimyati, K., Noordin, K., Shah, N., Abdullah, Q. & Mukhlif, F. (2020). Unmanned Aerial Vehicles for Post-Disaster Communication Networks. 10th International Conference on System Engineering and Technology. DOI: 10.1109/ICSET51301.2020.9265369
Salama, M., Bahsoon, R. & Bencomo, N. (2017). Managing Trade-offs in Self-Adaptive Software Architectures: A Systematic Mapping Study. En Mistrik et al. (Eds.), Managing Trade-offs in Adaptable Software Architectures (249-297). Amsterdam: Elsevier. DOI: 10.1016/B978-0-12-802855-1.00011-3
Sakurai, M. & Murayama, Y. (2019). Information technologies and disaster management – Benefits and issues. Progress in Disaster Science, 2, 100012. DOI: 10.1016/j.pdisas.2019.100012
Sargiacomo, M., Servalli, S., Potito, S., D’Andreamatteo, A. & Gitto, A. (2021). Accounting for natural disasters from a historical perspective: A literature review and research agenda. Accounting History, 26(2), 179-204. DOI: 10.1177/10323732211003173
Shamsoshoara, A., Afghah, F., Blasch, E., Ashdown, J. & Bennis, M. (2021). UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning. IEEE Open Journal of the Communications Society, 2, 738-753. DOI: 10.1109/OJCOMS.2021.3067001
Sziroczak, D., Rohacs, D. & Rohacs, J. (2022). Review of using small UAV based meteorological measurements for road weather management. Progress in Aerospace Sciences, 134, 100859. DOI: 10.1016/j.paerosci.2022.100859
Taipalus, T. (2023). Systematic Mapping Study in Information Systems Research. Journal of the Midwest Association for Information Systems, 1, 2. DOI: 10.17705/3jmwa.000079
Tan, L., Guo, J., Mohanarajah, S. & Zhou, K. (2021). Can we detect trends in natural disaster management with artificial intelligence? A review of modeling practices. Natural Hazards, 107, 2389–2417. DOI: 10.1007/s11069-020-04429-3
Tatum, M. & Liu, J. (2017). Unmanned aircraft system applications in construction. Procedia Engineering, 196, 167-175. DOI: https://doi.org/10.1016/j.proeng.2017.07.187
Teh, D. & Khan, T. (2021). Types, Definition and Classification of Natural Disasters and Threat Level. In: Eslamian, S., Eslamian, F. (Eds.), Handbook of Disaster Risk Reduction for Resilience. Cham: Springer. DOI: 10.1007/978-3-030-61278-8_2
Telli, K., Kraa, O., Himeur, Y., Ouamane, A., Boumehraz, M., Atalla, S. & Mansoor, W. (2023). A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs). Systems, 11, 400. DOI: 10.3390/systems11080400
Thavasi, P. & Suriyakala, C. (2012). Sensors and tracking methods used in wireless sensor network based unmanned search and rescue system - A review. Procedia Engineering, 38, 1935-1945. DOI: 10.1016/j.proeng.2012.06.236
Vakis, R. (2006). Complementing Natural Disasters Management: The Role of Social Protection. SP Discussion Paper, 0543. Social Protection. https://onx.la/27974
van Tilburg, C. (2017). First Report of Using Portable Unmanned Aircraft Systems (Drones) for Search and Rescue. Wilderness and Environmental Medicine, 28(2), 116–118. DOI: 10.1016/j.wem.2016.12.010
Villa, T. (2016). Development and validation of a UAV based system for air pollution measurements. Sensors, 16(2), 2202. DOI: https://doi.org/10.3390/s16122202
Wanasinghe, T. (2020). Unmanned Aerial Systems for the Oil and Gas Industry: Overview, Applications, and Challenges. IEEE Access. DOI: 10.1109/ACCESS.2020.3020593
Wu, Q., Zeng, Y. & Zhang, R. (2018). Joint trajectory and communication design for multi-UAV enabled wireless networks. IEEE Transactions on Wireless Communications, 17(3), 2109-2121. DOI: 10.1109/TWC.2017.2789293
Wu, Y., Fan, W., Yang, W., Sun, X. & Guan, X. (2019). Robust trajectory and communication design for multi-UAV enabled wireless networks in the presence of jammers. IEEE Access, 8, 2893-2905. DOI: 10.1109/ACCESS.2019.2962534
Xiong, Z., Zhang, Y., Lim, W., Kang, J., Niyato, D., Leun, C. & Miao, C. (2021). UAV-Assisted Wireless Energy and Data Transfer with Deep Reinforcement Learning. IEEE Transactions on Cognitive Communications and Networking, 7(1), 85-99. DOI: 10.1109/TCCN.2020.3027696
Yakushiji, K., Fujita, H., Murata, M., Hiroi, N., Hamabe, Y. & Yakushiji, F. (2020). Short-Range Transportation Using Unmanned Aerial Vehicles (UAVs) during Disasters in Japan. Drones, 4, 68. DOI: 10.3390/drones4040068
Yamazaki, F., Kubo, K., Tanabe, R. & Liu, W. (2017). Damage assessment and 3d modeling by UAV flights after the 2016 Kumamoto, Japan earthquake. IEEE International Geoscience and Remote Sensing Symposium. DOI: 10.1109/IGARSS.2017.8127673
Zeng, Y., Zhang, R. & Lim, T. (2016). Wireless communications with unmanned aerial vehicles: opportunities and challenges. IEEE Communications Magazine, 54(5), 36–42. DOI: 10.1109/MCOM.2016.7470933
Zhang, Y. (2024). Perceptive Mobile Networks for Unmanned Aerial Vehicle Surveillance: From the Perspective of Cooperative Sensing. IEEE Vehicular Technology Magazine, 19(2), 60-69. DOI: 10.1109/MVT.2024.3373931
Zhao, N., Lu, W., Sheng, M., Chen, Y., Tang, J., Yu, F. & Wong, K. (2019). UAV-assisted emergency networks in disasters. IEEE Wireless Communications, 26(1), 45-51. DOI: 10.1109/ MWC.2018.1800160
Zwegliński, T. (2020). The use of drones in disaster aerial needs reconnaissance and damage assessment - three-dimensional modeling and orthophoto map study. Sustain, 12, 1–20. DOI: 10.3390/su12156080
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