Source term estimation using noble gas and aerosol samples
Journal Article
·
· Journal of Environmental Radioactivity
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Algorithms that estimate the location, time, and magnitude of a point-source atmospheric release using remotely sampled air concentrations typically use data for a single chemical or radioactive isotope. Here, a Bayesian algorithm is presented that uses data from multiple radioactive isotopes that are all released in the same short-duration event. Data from noble gas and aerosol samplers can be used simultaneously in the model. Application to a large synthetic data set using four isotopes shows the new algorithm generally gives more accurate location and time estimates than a comparable model using a single isotope.
- Research Organization:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC05-76RL01830
- OSTI ID:
- 2472798
- Report Number(s):
- PNNL-SA--200262
- Journal Information:
- Journal of Environmental Radioactivity, Journal Name: Journal of Environmental Radioactivity Vol. 280; ISSN 0265-931X
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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