The Future of Drones in Disaster Management: A New Era of Emergency Response
Keywords:
Aerial surveillance, Communication support, Critical supply delivery, Disaster management, Drones, Emergency response unmanned aerial vehicles (UAVs), Real-time data transmission, Search and rescue, Technological advancements in dronesAbstract
Disaster response teams face enormous and frequently insurmountable problems, whether they are man-made (such as industrial accidents and terrorist attacks) or natural (such as earthquakes, floods, and storms). There are often significant challenges regarding response time, accessibility to impacted locations, and victim and rescuer safety. Communication failures, degraded infrastructure, and harsh environmental conditions make rescue operations even more difficult.
By offering creative answers to these enduring issues, drones, commonly referred to as unmanned aerial vehicles (UAVs) have started to transform the field of disaster management in recent years. Authorities can quickly assess damage and locate survivors, even in the most dangerous and hard-to-reach areas, thanks to the rapid aerial monitoring provided by drones. Utilizing infrared imaging, high-resolution cameras, and real-time data transmission significantly enhances search and rescue efforts. Drones also enable the delivery of essential supplies such as food, water, and medical assistance to remote populations and facilitate communication in areas where traditional networks have failed. This research paper offers a comprehensive analysis of the evolving role of drones in disaster management, highlighting significant technological advancements, real-world case studies, operational challenges, ethical considerations, and potential future developments. The integration of drones into emergency response plans represents a transformative shift that opens new pathways for faster, safer, and more efficient disaster relief efforts.
References
M. M. H, “Robotics in disaster response: Enhancing search and rescue operations,” Research Invention Journal of Biological and Applied Sciences, vol. 3, no. 3, pp. 51-56, Sep. 2024, Available: https://rijournals.com/wp-content/uploads/2024/09/RIJBAS-P13.pdf
R. Clasing, E. Muñoz, J. L. Arumí, and V. Parra, “Remote sensing with UAVs for flood modeling: A validation with actual flood records,” Water, vol. 15, no. 21, pp. 3813, Oct. 2023, doi: https://doi.org/10.3390/w15213813
Z. Chen, “Application of UAV remote sensing in natural disaster monitoring and early warning: An example of flood and mudslide and earthquake disasters,” Highlights in Science, Engineering, and Technology, vol. 85, pp. 924–933, 2024, Available: https://pdfs.semanticscholar.org/9fbf/14261498b74ac460271e7ce66b3978a6115b.pdf
S. Singh, “Disaster victim identification,” Academic Journal of Anthropological Studies, vol. 7, no. 1, pp. 1–12, Apr. 2024, Available: https://www.researchgate.net/profile/Siddharth-Singh-152/publication/383343620
S. M. S. M. Daud et al., “Applications of drone in disaster management: A scoping review,” Science & Justice, vol. 62, no. 1, pp. 30–42, Jan. 2022, doi: https://doi.org/10.1016/j.scijus.2021.11.002
Ecem Yucesoy, Burcu Balcik, and E. Coban, “The role of drones in disaster response: A literature review of operations research applications,” International Transactions in Operational Research, Jun. 2024, doi: https://doi.org/10.1111/itor.13484
D. Dominici, M. Alicandro, and V. Massimi, “UAV photogrammetry in the post-earthquake scenario: Case studies in L’Aquila,” Geomatics, Natural Hazards and Risk, vol. 8, no. 1, pp. 87–103, May 2016, doi: https://doi.org/10.1080/19475705.2016.1176605
K. Kahar, S. Golam, S. Mathurkar, and P. Kale, “Industrial robotic arm system,” SSGM Journal of Science and Engineering, vol. 2, no. 1, pp. 62–67, May- 2024, Available: https://www.researchgate.net/publication/382002723_Industrial_Robotic_Arm_System
P. Manju, D. Pooja, and V. Dutt, “Drones in smart cities,” AI and IoT-based Intelligent Automation in Robotics, pp. 205–228, Apr. 2021, doi: https://doi.org/10.1002/9781119711230.ch12
A. Khan, S. Gupta, and S. K. Gupta, “Emerging UAV technology for disaster detection, mitigation, response, and preparedness,” Journal of Field Robotics, vol. 39, no. 6, Apr. 2022, doi: https://doi.org/10.1002/rob.22075
O. M. Bushnaq, D. Mishra, E. Natalizio, and I. F. Akyildiz, “Unmanned aerial vehicles (UAVs) for disaster management,” in Nanotechnology-based Smart Remote Sensing Networks for Disaster Prevention, Amsterdam, Netherlands: Elsevier, pp. 159–188, Jan. 2022, doi: https://doi.org/10.1016/b978-0-323-91166-5.00013-6
N. Kerle, S. Heuel, and N. Pfeifer, “Real-time data collection and information generation using airborne sensors,” in Geospatial Information Technology for Emergency Response, CRC Press, 2008, p. 32, Available: https://www.taylorfrancis.com/chapters/edit/10.4324/9780203928813-12/
V. Croce, G. Caroti, and A. Piemonte, “Assessment of earthquake-induced damage level on buildings: Analysis of two different survey methods for a case study,” International Archives of The Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLII-2/W15, pp. 351–358, Aug. 2019, doi: https://doi.org/10.5194/isprs-archives-xlii-2-w15-351-2019
K. Kahar et al., “Optimization of MEMS-based energy scavengers and output prediction with machine learning and synthetic data approach,” Sensors and Actuators A: Physical, vol. 358, p. 114429, May 2023, doi: https://doi.org/10.1016/j.sna.2023.114429
K. Kahar, R. Dhekekar, M. Bhaiyya, S. Balpande, and P. Kale, “MEMS-based energy scavenger with interdigitated electrodes,” Materials Today: Proceedings, Aug. 2022, doi: https://doi.org/10.1016/j.matpr.2022.08.106
K. Kahar, R. Dhekekar, T. Shivrame, P. Hage, P. Shingnapure and G. Chavhan “Micro scale energy scavengers for low power applications in rural areas,” SSGM Journal of Science and Engineering, vol. 1, no. 1, pp. 104–108, Jun. 2023, Available: https://www.researchgate.net/profile/Kamlesh_Kahar/publication/390107942
Kamlesh Kahar, Manish Bhaiyya, Ram Dhekekar, Gopal Gawande, Suresh Balpande, and S. Goel, “MEMS-based energy scavengers: Journey and future,” Microsystem Technologies, vol. 28, no. 9, pp. 1971–1993, Aug. 2022, doi: https://doi.org/10.1007/s00542-022-05356-y
P. P. Ray, M. Mukherjee, and L. Shu, “Internet of things for disaster management: State-of-the-art and prospects,” in IEEE Access, vol. 5, pp. 18818-18835, 2017, doi: https://doi.org/10.1109/ACCESS.2017.2752174
A. Restas, “Drone applications for supporting disaster management,” World Journal of Engineering and Technology, vol. 03, no. 03, pp. 316–321, 2015, doi: https://doi.org/10.4236/wjet.2015.33c047
K. Kahar, R. Khatke, P. Bhople, J. Tayde, and H. Modokar, “The IoT based exercise cycle,” International Journal of Advanced Research in Science, Communication and Technology, vol. 2, no. 2, pp. 354–359, May 2022, doi: https://doi.org/10.48175/IJARSCT-3668
K. T. Kaharpardeshi, Syed Uvaid Ullah and S. Zafar, "Influence of circular patched EBG substrate on SAR and far-field pattern of dipole phase-array antenna," 2014 IEEE Students' Conference on Electrical, Electronics and Computer Science, Bhopal, India, 2014, pp. 1-5, doi: https://doi.org/10.1109/SCEECS.2014.6804497
K. T. Kaharpardeshi, S. U. Ullah and S. Zafar, “Dipole phased-array antenna above circular patched EBG substrate with reduced specific absorption rate for fourth generation mobile phone applications,” International Journal of Engineering Research & Technology (IJERT), vol. 2, no. 11, Nov. 2013, Available: https://www.ijert.org/research/dipole-phased-array-antenna-above-circular-patched-ebg-substrate-with-reduced-specific-absorption-rate-for-fourth-generation-mobile-phone-applications-IJERTV2IS110946.pdf
Y.-H. Ho and Y.-J. Tsai, “Open collaborative platform for multi-drones to support search and rescue operations,” Drones, vol. 6, no. 5, p. 132, May 2022, doi: https://doi.org/10.3390/drones6050132
