Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Brian T. Schrom"'
Publikováno v:
Pure and Applied Geophysics. 180:1489-1520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fd435c562d4b47df1a7092ac6cf6f6e
https://doi.org/10.1007/s00024-022-03134-5
https://doi.org/10.1007/s00024-022-03134-5
Publikováno v:
Journal of Environmental Radioactivity. 258:107094
A new algorithm (Xcounts) is introduced for estimating the activity concentrations of the xenon isotopes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c30ab45ec39a79d400a0b252c1dec3e
https://doi.org/10.1016/j.jenvrad.2022.107094
https://doi.org/10.1016/j.jenvrad.2022.107094
Autor:
Paul W. Eslinger, Theodore W. Bowyer, Charles G. Doll, Judah I. Friese, Lori A. Metz, Brian T. Schrom
Publikováno v:
Journal of Environmental Radioactivity. 250:106916
The noble gas collection and measurement stations in the International Monitoring System (IMS) are heavily influenced by releases from medical isotope production facilities. The ability to reliably model the movement of radioxenon from the points of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cffbfacdb648da9c9c4501d466c3ea3
https://doi.org/10.1016/j.jenvrad.2022.106916
https://doi.org/10.1016/j.jenvrad.2022.106916
Publikováno v:
Journal of Environmental Radioactivity. 204:111-116
Algorithms that estimate the location and magnitude of an atmospheric release using remotely sampled air concentrations typically involve a single chemical or radioactive isotope. A new Bayesian algorithm is presented that makes discrimination betwee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d04d70b5f37d0e3ce6ff8f42a27abfbc
https://doi.org/10.1016/j.jenvrad.2019.04.004
https://doi.org/10.1016/j.jenvrad.2019.04.004
Autor:
Brian T. Schrom, Paul W. Eslinger
Publikováno v:
Journal of Environmental Radioactivity. 203:98-106
One of the difficulties encountered in source-term analyses for airborne contaminants is the large computational effort required to predict air concentrations for all possible release scenarios. In some cases, analysts use atmospheric ATM runs with c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::413e7a6925df71a3df68cf1657e17fd3
https://doi.org/10.1016/j.jenvrad.2019.03.006
https://doi.org/10.1016/j.jenvrad.2019.03.006
Publikováno v:
Journal of Environmental Radioactivity. 203:220-225
Many source-term estimation algorithms for atmospheric releases assume the measured concentration data are influenced only by the releases of interest. However, there are situations where identifying a short-term release from an unknown location in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29033dace3ed71e261fdb3f7247c2862
https://doi.org/10.1016/j.jenvrad.2019.03.022
https://doi.org/10.1016/j.jenvrad.2019.03.022
Autor:
W. Steven Rosenthal, Paul W. Eslinger, Brian T. Schrom, Harry S. Miley, Doug J. Baxter, Jerome D. Fast
Publikováno v:
Journal of Environmental Radioactivity. 247:106849
Predicting source or background radionuclide emissions is limited by the effort needed to run gas/aerosol atmospheric transport models (ATMs). A high-performance surrogate model is developed for the HYSPLIT4 (NOAA) ATM to accelerate transport simulat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3004d7447660489a331cfdc0fc7f3558
https://doi.org/10.1016/j.jenvrad.2022.106849
https://doi.org/10.1016/j.jenvrad.2022.106849
Publikováno v:
Journal of Environmental Radioactivity. 241:106777
Large networks producing frequent atmospheric radionuclide measurements have additional power in characterizing and localizing radionuclide release events over the analysis performed with four or fewer radionuclide measurements. However, adding unrel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::358341108d254420ee3e328820f8aa77
https://doi.org/10.1016/j.jenvrad.2021.106777
https://doi.org/10.1016/j.jenvrad.2021.106777
Autor:
Judah I. Friese, Michael E. Swanwick, Glen A. Warren, Brian T. Schrom, J. L. Burnett, Lance S. Lidey, Paul W. Eslinger, Sheldon Stokes, Clive L. Devoy, Harry S. Miley, Joel B. Forrester, Ariane B. Chepko, Scott J. Morris, John E. Smart
Publikováno v:
Journal of environmental radioactivity.
Pacific Northwest National Laboratory (PNNL) staff developed the Radionuclide Aerosol Sampler Analyzer (RASA) for worldwide aerosol monitoring in the 1990s. Recently, researchers at PNNL and Creare, LLC, have investigated possibilities for how RASA c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08aa2fe48f9bd8c055c0f01b17602dd3
https://pubmed.ncbi.nlm.nih.gov/31476609
https://pubmed.ncbi.nlm.nih.gov/31476609
Publikováno v:
Journal of Environmental Radioactivity. 225:106439
A Bayesian source-term algorithm recently published by Eslinger et al. (2019) extended previous models by including the ability to discriminate between classes of releases such as nuclear explosions, nuclear power plants, or medical isotope productio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9b1feeb3637ba7fd02e0d23cfa2848d
https://doi.org/10.1016/j.jenvrad.2020.106439
https://doi.org/10.1016/j.jenvrad.2020.106439