Abstract
The increasing level of air pollution in our cities due to emissions from factories, vehicles and domestic heating, combined with the growing threat of terrorism, requires finding equipment and know-how that are useful for the detection and monitoring of hazardous substances and their dispersion into the atmosphere as quickly and far away as possible.
LiDAR/DIAL systems are considered powerful tools for atmospheric physics studies. Despite the progress achieved in remote sensing field, currently, their long-term use in the field still remains difficult due to economic and technical implications. For these reasons, an integrated framework is proposed in this paper. This framework is based on compact, fully automated, stand-off laser-based systems and numerical simulation tools for both real-time tracking and dispersion modelling of hazardous dust and/or particles into the atmosphere. This combined approach is fully general, and basically, it could be used for atmospheric physics studies and also to predict and prevent the diffusion of CBRNe attacks in critical areas. In fact, the primary goal of the framework will be to provide a rapid alert to the competent authorities if something strange is found and to compute a rapid and accurate prediction of the harmful plume spatio-temporal evolution.
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Parracino, S., Ciparisse, J.F., Gelfusa, M., Malizia, A., Richetta, M., Gaudio, P. (2018). Experimental Real-Time Tracking and Numerical Simulation of Hazardous Dust Dispersion in the Atmosphere. In: Malizia, A., D'Arienzo, M. (eds) Enhancing CBRNE Safety & Security: Proceedings of the SICC 2017 Conference. Springer, Cham. https://doi.org/10.1007/978-3-319-91791-7_6
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