Military operations can present risks whose origins may be unconventional. As an example, we can mention those within the spectrum of chemical, biological, radiological, and nuclear (CBRN) defense. This study evaluates, through a computer simulation, an operation in which soldiers face radiological contamination after the triggering of a radiological dispersion device (RDD) in an inhabited urban area. The simulation of the Gaussian scattering (analytical) of the Cs-137 radionuclide is performed using the HotSpot Health Physics codes software. The results of the simulation are evaluated according to two radiological risk domains, referring to high (above 100 mSv) and low integrated radiation doses over 4 continuous days of operation. The radiological risk for developing solid cancer according to specific epidemiological models was estimated. This information served as a basis for estimating the future detriment, that is, the loss of life expectancy (LLE). In addition, the methodology may serve as an instructional resource for tabletop exercises contributing to develop leadership and preparation for decision-making in asymmetric environments.

This study describes the use of ionizing radiation detectors in a Brazilian Army reconnaissance vehicle (RV), used in area monitoring actions based on the occurrence of a radiological event. Two scintillating detectors, NaI and LaBr3, were used to carry out field measurements of surveying for different distances from a simulated detector position in the vehicle, in order to compare the energy spectra obtained in each measurement system. The Brazilian Army Technological Center (Centro Tecnológico do Exército - CTEx) region was chosen to carry out the measurements. The meteorological information was annotated to verify the conditions into which the experimental apparatus would be submitted. The results suggest that both the NaI and LaBr3 scintillating detector could be used in radiological emergency response RV, offering satisfactory responses in the gamma radiation detection. However, the NaI detector was chosen considering the wide network of technical assistance and its low operational cost. The relevance of this investigation shows the importance of planning responses in emergency situations and the influence of efficient instrumentation in the measurement processes.