Ranking Nuclear and Radiological Terrorism Scenarios: The Italian Case

A quantitative criterion for ranking the different scenarios of nuclear and radiological terrorism has been developed. The aim of the model is not to predict terroristic events but only to indicate which scenario has the higher utility from the point of view of a terroristic organization in terms of balance between factors favoring and discouraging the attack, respectively. All these factors were quantified according to a scoring system that takes into account the logarithmic relationship between perceptions and stimuli. The criterion was applied to several scenarios, each of which was modeled in a simple but not trivial way in order to estimate the expected damage in terms of probable life losses from both radiative and nonradiative effects. The outcome from the ranking method indicates that the attractive scenario appears to be the detonation of a low yield improvised nuclear device in the metropolitan area of a major city.     

Uncertainty and Sensitivity Analysis in Assessment of the Thyroid Cancer Risk Related to Chernobyl Fallout in Eastern France

The increase in the thyroid cancer incidence in France observed over the last 20 years has raised public concern about its association with the 1986 nuclear power plant accident at Chernobyl. At the request of French authorities, a first study sought to quantify the possible risk of thyroid cancer associated with the Chernobyl fallout in France. This study suffered from two limitations. The first involved the lack of knowledge of spontaneous thyroid cancer incidence rates (in the absence of exposure), which was especially necessary to take their trends into account for projections over time; the second was the failure to consider the uncertainties. The aim of this article is to enhance the initial thyroid cancer risk assessment for the period 1991-2007 in the area of France most exposed to the fallout (i.e., eastern France) and thereby mitigate these limitations. We consider the changes over time in the incidence of spontaneous thyroid cancer and conduct both uncertainty and sensitivity analyses. The number of spontaneous thyroid cancers was estimated from French cancer registries on the basis of two scenarios: one with a constant incidence, the other using the trend observed. Thyroid doses were estimated from all available data about contamination in France from Chernobyl fallout. Results from a 1995 pooled analysis published by Ron et al. were used to determine the dose-response relation. Depending on the scenario, the number of spontaneous thyroid cancer cases ranges from 894 (90% CI: 869-920) to 1,716 (90% CI: 1,691-1,741). The number of excess thyroid cancer cases predicted ranges from 5 (90% UI: 1-15) to 63 (90% UI: 12-180). All of the assumptions underlying the thyroid cancer risk assessment are discussed.     

Probabilistic Assessment of the Failure Risk of the Europa Clipper Spacecraft due to Radiations

The Europa mission approved in 2019 is still in the development phase. It is designed to conduct a detailed reconnaissance of that moon of Jupiter as it could possibly support life as we know it. This article is based on a top-down approach (mission → system → subsystems → components) to model the probability of mission failure. The focus here is on the case where the (uncertain) radiation load exceeds the (uncertain) capacity of critical subsystems of the spacecraft. The model is an illustrative quantification of the uncertainties about (1) the complex external radiation environment in repeated exposures, (2) the effectiveness of the shielding in different zones of the spacecraft, and (3) the components’ capacities, by modeling all three as dynamic random variables. A simulation including a sensitivity analysis is used to obtain the failure probability of the whole mission in forty-five revolutions around Jupiter. This article illustrates how probabilistic risk analysis based on engineering models, test results and expert opinions can be used in the early stages of the design of space missions when uncertainties are large. It also describes the optimization of the spacecraft design, taking into account the decisionmakers’ risk attitude and the mission resource constraints.     

Assessing the Radiological Impact of Radiation Exposure Devices

Radiation exposure devices (REDs) are radiological weapons obtained by concealing a strong gamma‐emitting source in a place frequented by public to cause radiation injuries following the absorption of elevated radiation doses. The present work aims to assess the radiological impact of an RED by simulating its effects in both dynamical and static conditions of the covertly exposed population, with individual position and motion obtained through a Monte Carlo approach. The results indicate that in small enclosures the motion of people amplify the effects of radiation exposure with respect to the static case because it turns out in a larger number of individuals receiving doses above the threshold for the onset of deterministic effects. This behavior is mitigated in medium and large enclosures due to dose spreading over trajectories moving far away from the critical region close to the RED. The scaling laws obtained with a simple circular geometry were successfully applied to a more complex geometry like that of a stadium. The potentially large number of victims and the possibility to reiterate the attack raise the question of early detection. This can be achieved either by radiation survey or by indirectly inferring the presence of a strong radioactive source following the triage of patients with radiation sickness symptoms collected by the same hospital. In the former case careful design and operation of aerial or in situ monitoring is needed, while in the latter specific training should be given to healthcare personnel aimed to improve their discrimination and cooperation capabilities.     

Epidemiology and litigation—the Sellafield childhood leukaemia cases

Statisticians and scientists are often required to provide information outside the scientific community. One important example is as an expert witness in the law courts. The civil litigation cases of Reay versus British Nuclear Fuels plc and Hope versus British Nuclear Fuels plc are a vivid illustration of how science and scientists interact with the law and lawyers. The personal injury cases were decided on the basis of how a specific epidemiological association should be properly interpreted, and this involved many experts. It is desirable that statisticians and scientists understand the nature of expert evidence, and these two cases are used to illuminate the role of the scientist in civil litigation.