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IAEA looks at nuclear techniques for crop resilience
The International Atomic Energy Agency has launched a five-year coordinated research project (CRP) to strengthen plant health preparedness using nuclear and related technologies.
Wheat blast, potato late blight, potato bacterial wilt, and cassava witches broom disease can spread quickly across large areas of land, leading to severe yield losses in key crops for food security. Global trade and climate change have increased the likelihood of rapid, transboundary spread.
Raphael S. Daniels
Nuclear Technology | Volume 87 | Number 2 | October 1989 | Pages 553-555
Technical Paper | TMI-2: Health Physics and Environmental Release / Nuclear Safety | doi.org/10.13182/NT89-A27752
Articles are hosted by Taylor and Francis Online.
Due to elevated radiation exposure rates in the Three Mile Island (TMI) Unit 2 reactor building (RB) in the summer of 1982 (2 yr after the first entry), two conclusions were abundantly clear: (a) Planned activities within the RB would entail an excessive expenditure of person-rem, which is not consistent with the concept of as low as reasonably achievable, and (b) planned activities could not be accomplished by the existing work force at TMI without exceeding quarterly and annual dose limits. Based on the need to limit person-rem exposure and the constraint of financial resources, a comprehensive dose reduction program was in order. Such a dose reduction program would require various stages beginning with those actions that could be quickly implemented. Those initial actions would be followed by near-term activities that could be implemented via technical planning data and equipment acquisition. After those activities were accomplished, dose rates would be reduced and new sources would be identified. Dose reduction is a continuing activity that must be addressed throughout the decontamination and recovery process. The task force developed a three-step approach toward dose reduction. Results of the dose reduction program are presented in chronological order and compared to predictions.