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Title: Source term estimation using noble gas and aerosol samples

Journal Article · · Journal of Environmental Radioactivity

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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