Speaker
Description
Ensuring no individual is committed to an unacceptable risk due to radiation exposure during the transport of radioactive materials (RAM) is essential. A radiation monitoring program for the radioisotopes transport team is applied at the Jordan Research and Training Reactor (JRTR). Thus, a limit of 50 mSv/y, not exceeding 100 mSv/5y, is set at the JRTR. Additionally, a transport dose constraint of 6 mSv/y is established in order to achieve the optimization of radiation protection. In principle, the annual doses of the radioisotopes transport team are monitored by applying different independent techniques, including the passive personal dosimeters, direct measurements, and in-advance calculations prior to any shipment. Technically, passive personal dosimeters provide accumulated readings over long durations covering many shipments but not per each shipment. The transport of radioactive materials usually includes shipments of different numbers and types of packages and activities, hence, the direct measurement of radiation dose rates is the most reliable way to assess the anticipated doses during each transport process. The computational calculation of doses is also applicable, however, it is time-consuming modeling the entire contents of the shipment. To expedite obtaining these annual doses, the “Dose to Transport Index Approach” is adopted as a quick initial assessment tool. Furthermore, this approach is also applicable, and mandated for licensing purposes by conducting assessments of yearly doses based on the annual produced activities of each radioisotope. In this work, this approach is adopted in performing a systematic annual effective dose assessment for the radioisotopes transport team, based on the anticipated annual radioisotopes production at the JRTR. The hybrid Monte Carlo and Deterministic code, named MAVRIC, is exploited to simulate such radiation exposure scenarios during the RAM transport. The results showed high compliance with the JRTR dose constraint of 6 mSv/y.
