Articles | Volume 17, issue 20
https://doi.org/10.5194/acp-17-12677-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-12677-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Oct 2017
Research article |
| 25 Oct 2017
Bayesian inverse modeling and source location of an unintended 131I release in Europe in the fall of 2011
Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Václav Šmídl
Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Radek Hofman
Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Kateřina Šindelářová
Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
Miroslav Hýža
National Radiation Protection Institute, Prague, Czech Republic
Andreas Stohl
NILU, Norwegian Institute for Air Research, Kjeller, Norway
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- Method of Source Identification Following an Accidental Release at an Unknown Location Using a Lagrangian Atmospheric Dispersion Model S. Andronopoulos & I. Kovalets 10.3390/atmos12101305
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- Methodology for the investigation of undeclared atmospheric releases of radionuclides: Application to recent radionuclide detections in Northern Europe from 2019 to 2022 O. Saunier et al. 10.1016/j.anucene.2023.109907
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- Automated release rate inversion and plume bias correction for atmospheric radionuclide leaks: A robust and general remediation to imperfect radionuclide transport modeling S. Fang et al. 10.1016/j.scitotenv.2020.142140
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- Source localisation and its uncertainty quantification after the third DPRK nuclear test P. De Meutter et al. 10.1038/s41598-018-28403-z
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- Atmospheric modeling and source reconstruction of radioactive ruthenium from an undeclared major release in 2017 O. Saunier et al. 10.1073/pnas.1907823116
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- Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017 O. Tichý et al. 10.5194/amt-14-803-2021
- A new method for multi-point pollution source identification J. Wang et al. 10.1016/j.aosl.2021.100098
- Potential Source Apportionment and Meteorological Conditions Involved in Airborne 131I Detections in January/February 2017 in Europe O. Masson et al. 10.1021/acs.est.8b01810
- In the nuclear explosion monitoring context, what is an anomaly? H. Miley et al. 10.1007/s10967-024-09411-y
- Impact of Environmental Backgrounds on Atmospheric Monitoring of Nuclear Explosions P. Eslinger et al. 10.1007/s00024-022-03134-5
24 citations as recorded by crossref.
- Source term estimation of multi‐specie atmospheric release of radiation from gamma dose rates O. Tichý et al. 10.1002/qj.3403
- Method of Source Identification Following an Accidental Release at an Unknown Location Using a Lagrangian Atmospheric Dispersion Model S. Andronopoulos & I. Kovalets 10.3390/atmos12101305
- Source term inversion of nuclear accidents based on ISAO-SAELM model D. Xiao et al. 10.1016/j.net.2024.04.038
- Adaptive center constraint for joint release rate estimation and model correction: Multi-scenario validation against wind tunnel experiments X. Li et al. 10.1016/j.pnucene.2024.105413
- Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety X. Zhang & J. Wang 10.1016/j.jnlssr.2022.09.001
- Source estimation of an unexpected release of Ruthenium-106 in 2017 using an inverse modelling approach L. Western et al. 10.1016/j.jenvrad.2020.106304
- A review of numerical models to predict the atmospheric dispersion of radionuclides Á. Leelőssy et al. 10.1016/j.jenvrad.2017.11.009
- Uncertainty quantification of atmospheric transport and dispersion modelling using ensembles for CTBT verification applications P. De Meutter & A. Delcloo 10.1016/j.jenvrad.2022.106918
- Source term inversion of short-lived nuclides in complex nuclear accidents based on machine learning using off-site gamma dose rate Y. Ling et al. 10.1016/j.jhazmat.2023.133388
- Oscillation-free source term inversion of atmospheric radionuclide releases with joint model bias corrections and non-smooth competing priors S. Fang et al. 10.1016/j.jhazmat.2022.129806
- Localisation of atmospheric release of radioisotopes using inverse methods and footprints of receptors as sources M. Ulimoen & H. Klein 10.1016/j.jhazmat.2023.131156
- Source term estimation using noble gas and aerosol samples P. Eslinger & B. Milbrath 10.1016/j.jenvrad.2024.107544
- Methodology for the investigation of undeclared atmospheric releases of radionuclides: Application to recent radionuclide detections in Northern Europe from 2019 to 2022 O. Saunier et al. 10.1016/j.anucene.2023.109907
- Multi-scenario validation of the robust inversion method with biased plume range and values X. Dong et al. 10.1016/j.jenvrad.2023.107363
- Nuclear contamination sources in surface air of Finnish Lapland in 1965–2011 studied by means of 137Cs, 90Sr, and total beta activity S. Salminen-Paatero et al. 10.1007/s11356-019-05451-0
- Automated release rate inversion and plume bias correction for atmospheric radionuclide leaks: A robust and general remediation to imperfect radionuclide transport modeling S. Fang et al. 10.1016/j.scitotenv.2020.142140
- Comparative study on gradient-free optimization methods for inverse source-term estimation of radioactive dispersion from nuclear accidents S. Jang et al. 10.1016/j.jhazmat.2023.132519
- Source localisation and its uncertainty quantification after the third DPRK nuclear test P. De Meutter et al. 10.1038/s41598-018-28403-z
- Determination of radiological background fields designated for inverse modelling during atypical low wind speed meteorological episode P. Pecha et al. 10.1016/j.atmosenv.2020.118105
- Moisture sources and paths associated with warm-season precipitation over the Sichuan Basin in southwestern China: Climatology and interannual variability S. Zhang et al. 10.1016/j.jhydrol.2021.127019
- Atmospheric modeling and source reconstruction of radioactive ruthenium from an undeclared major release in 2017 O. Saunier et al. 10.1073/pnas.1907823116
- Source term determination with elastic plume bias correction O. Tichý et al. 10.1016/j.jhazmat.2021.127776
- Real-time measurement of radionuclide concentrations and its impact on inverse modeling of 106Ru release in the fall of 2017 O. Tichý et al. 10.5194/amt-14-803-2021
- A new method for multi-point pollution source identification J. Wang et al. 10.1016/j.aosl.2021.100098
3 citations as recorded by crossref.
- Potential Source Apportionment and Meteorological Conditions Involved in Airborne 131I Detections in January/February 2017 in Europe O. Masson et al. 10.1021/acs.est.8b01810
- In the nuclear explosion monitoring context, what is an anomaly? H. Miley et al. 10.1007/s10967-024-09411-y
- Impact of Environmental Backgrounds on Atmospheric Monitoring of Nuclear Explosions P. Eslinger et al. 10.1007/s00024-022-03134-5
Latest update: 10 Dec 2024
Short summary
In the fall of 2011, iodine-131 (131I) was detected at several radionuclide monitoring stations in central Europe. We estimate the source location and emission variation using only the available 131I measurements. Subsequently, we use the IAEA report about the source term for validation of our results. We find that our algorithm could successfully locate the actual release site. The findings are also in agreement with the values reported by the IAEA.
In the fall of 2011, iodine-131 (131I) was detected at several radionuclide monitoring stations...
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