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Undeclared uranium hitches a ride on cobalt exports from Congo, study says
Philippe (left) and Manzuk quantified the amount of uranium that has been exported from the DRC in cobalt shipments or left behind in the environment. (Photo: Joel Hallberg/UW–Madison)
Researchers at the University of Wisconsin–Madison and Princeton University have published a study in Nature Communications that calls attention to a blind spot in nuclear nonproliferation: The Democratic Republic of the Congo (DRC) has exported thousands of metric tons of uranium, and there is no accounting for where it has gone.
In partnership with Lighthouse Reports and the Financial Times, UW–Madison nuclear engineering professor and nuclear security expert Sébastien Philippe and Ryan Manzuk, a geologist and research fellow in Philippe’s group and at Princeton, conducted the study using countrywide mineralization and geochemical data.
Jang-Guen Park, Sung-Hee Jung, Jong Bum Kim, Jinho Moon, Chan Hyeong Kim
Nuclear Technology | Volume 192 | Number 2 | November 2015 | Pages 133-141
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT15-16
Articles are hosted by Taylor and Francis Online.
In industrial processes where multiphase flows are frequently encountered, it is important to examine the phase distribution and flow pattern to optimize process efficiency, safe operation, and cost savings. One of the most suitable techniques of industrial-process flow-dynamics visualization is the single photon emission computed tomography (SPECT) system, which provides, by means of a process-system-injected radioisotope source, cross-sectional images of the process flow. Obtaining reliable SPECT imaging results for a multiphase flow system, however, remains a significant challenge. In the present study, the use of a diverging collimator for improvement of industrial SPECT system performance is proposed. The advantages of the diverging-collimation industrial SPECT system as compared with a previous parallel-collimation version can be summarized as follows: (a) significant reduction of edge artifacts on a detection-efficiency map, and 19% improvement of average detection efficiency; (b) 36% improvement of image resolution; (c) accurate source region reconstruction even with the source positioned farther from the object’s center; and (d) a reduced system size.