A Smart Drone-Based Solution for Natural Disaster Management and Emergency Response
DOI:
https://doi.org/10.61453/INTIj.202574Keywords:
Crisis management, Emergency operations, intelligent aerial systems, UAV technology, Humanitarian response, Flood disaster mitigationAbstract
Natural disasters present a major global challenge, often leaving millions in urgent need of aid. Floods disrupt transportation routes, delaying critical relief. As such events intensify, traditional emergency response systems face growing limitations. This research investigates how intelligent unmanned aerial systems (UAS) can enhance disaster response, especially when ground access is compromised. Focusing on flood scenarios, it evaluates how aerial platforms improve situational awareness, speed up search efforts, and enable targeted aid delivery. Using case studies and qualitative analysis, the study finds that UAS can reduce response times by 65–80%, deliver 2–4 kg of medical supplies to isolated areas, and provide detailed damage assessments via advanced imaging. A proposed cloud-integrated architecture connects aerial operations with analytical tools for coordinated emergency management. Despite challenges like limited flight endurance and environmental constraints, the system offers a scalable solution for humanitarian logistics in resource-constrained settings. This work contributes practical insights into deploying aerial technologies for disaster relief and outlines strategies to enhance autonomous capabilities and inter-agency coordination.
References
Afghah, S., Razi, A., & Chakareski, J. (2019). A coalition formation and game theory approach for coordinated routing of unmanned aerial vehicles in wildfire monitoring. IEEE Access, 7, 12345–12360. https://doi.org/10.1109/ACCESS.2019.2936783
Bacco, M., Barsocchi, P., Cassará, P., & Gotta, A. (2021). UAV patrolling for wildfire monitoring by a dynamic Voronoi tessellation on satellite data. Drones, 5(4), 130. https://doi.org/10.3390/drones5040130
Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51–63. https://doi.org/10.1080/15472450802023329
Cvetković, V. M., Dragašević, A., & Protić, D. (2022). Fire safety behavior model for residential buildings: Implications for disaster risk reduction. International Journal of Disaster Risk Reduction, 75, Article 102981. https://doi.org/10.1016/j.ijdrr.2022.102981
Erdelj, M., Król, M., & Natalizio, E. (2017). Help from the sky: Leveraging unmanned aerial vehicles for disaster management. IEEE Pervasive Computing, 16(1), 24–32. https://doi.org/10.1109/MPRV.2017.11
Greenwood, F., Nelson, E. L., & Schneiderman, J. B. (2022). Supporting value sensitivity in the humanitarian use of drones through an ethics assessment framework. International Review of the Red Cross, 103(916), 1187–1213. https://doi.org/10.1017/S181638312100065X
Islam, A. S., Bala, S. K., & Haque, M. A. (2019). Operational flood mapping using multi-temporal Sentinel-1 SAR images: A case study from Bangladesh. Remote Sensing, 11(13), 1581. https://doi.org/10.3390/rs11131581
Karaca, Y., Cicek, M., & Tatli, O. (2018). Search and rescue operations with unmanned aerial vehicles after earthquakes. IEEE Access, 6, 22186–22205. https://doi.org/10.1109/ACCESS.2018.2831828
Murphy, R. R. (2014). Disaster robotics. MIT Press. https://doi.org/10.7551/mitpress/9350.001.0001
OCHA (United Nations Office for the Coordination of Humanitarian Affairs). (2014). Unmanned aerial vehicles in humanitarian response. https://www.unocha.org/sites/unocha/files/Unmanned%20Aerial%20Vehicles%20in%20Humanitarian%20Response%20OCHA%20Policy%20Paper%202014.pdf
Reuter, C., & Kaufhold, M. A. (2018). Fifteen years of social media in emergencies: A retrospective review and future roadmap for crisis informatics. International Journal of Human–Computer Interaction, 34(10), 829–857. https://doi.org/10.1080/10447318.2018.1478682
Sandvik, K. B., & Lohne, K. (2014). The rise of the humanitarian drone: Giving content to an emerging concept. Science and Public Policy, 41(2), 145–164. https://doi.org/10.1093/scipol/scu037
Tmušić, G., Manfreda, S., & Aasen, H. (2020). Current practices in UAS-based environmental monitoring. ISPRS Journal of Photogrammetry and Remote Sensing, 171, 71–106. https://doi.org/10.1016/j.isprsjprs.2020.10.008
Turkey Disaster and Emergency Management Authority (AFAD). (2024). Strategic plan for disaster risk reduction and technology integration. AFAD Publications.
Zhan, X., Li, J., & Wang, Y. (2025). Optimization model for endurance performance of electric rotorcraft transport drones and its application prospects. Journal of Advanced Computing Technology and Application, 7(1), 40–54. https://doi.org/10.54554/jacta.2025.07.01.004
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