Abstract:
:A complete, historical dataset is presented of radionuclide resuspension-factors. These data span six orders of magnitude in time (ranging from 0.1 to 73,000 d), encompass more than 300 individual values, and combine observations from events on three continents. These data were then used to derive improved, empirical models that can be used to predict resuspension of trace materials after their deposit on the ground. Data-fitting techniques were used to derive models of various types and an estimate of uncertainty in model prediction. Two models were found to be suitable: a power law and the modified Anspaugh et al. model, which is a double exponential. Though statistically the power-law model provides the best metrics of fit, the modified Anspaugh model is deemed the more appropriate due to its better fit to data at early times and its ease of implementation in terms of closed analytical integrals.
journal_name
Health Physjournal_title
Health physicsauthors
Maxwell RM,Anspaugh LRdoi
10.1097/HP.0b013e31821ddb07subject
Has Abstractpub_date
2011-12-01 00:00:00pages
722-30issue
6eissn
0017-9078issn
1538-5159pii
00004032-201112000-00019journal_volume
101pub_type
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