Department of Physical Sciences, Faculty of Pure and Applied Sciences, Precious Cornerstone University, Ibadan, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(01), 3209-3224
Article DOI: 10.30574/wjarr.2024.23.1.2033
Received on 28 May 2024; revised on 23 July 2024; accepted on 29 July 2024
The United States has developed an advanced radiological disaster surveillance network integrating unmanned aerial vehicles (UAVs), gamma-ray spectroscopy, and cloud-based data analytics to provide immediate post-incident protection for civilian populations. This comprehensive system leverages cutting-edge drone technology equipped with highly sensitive radiation detection systems coupled with artificial intelligence-driven cloud analytics platforms to create real-time radiological maps and contamination assessments. The network addresses critical gaps in traditional ground-based monitoring by providing rapid, wide-area coverage of radiologically compromised zones while minimizing personnel exposure risks. This study examines the technical architecture, operational protocols, and performance characteristics of the integrated surveillance network, demonstrating its capability to detect radiation levels as low as 0.1 μSv/h with spatial resolution of one meter and isotope identification accuracy exceeding 95% for common radiological threats including Cs-137, Co-60, and I-131.
Radiological surveillance; Drone spectroscopy; Emergency response; Cloud analytics; Nuclear disaster management; UAV radiation detection
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Rebecca Aderonke Ogundiya. US radiological disaster surveillance network using drone spectroscopy and cloud analytics: ensuring protection immediately post-incident. World Journal of Advanced Research and Reviews, 2024, 23(1), 3209-3224. Article DOI: https://doi.org/10.30574/wjarr.2024.23.1.2033