Evaluating variability and uncertainty in radiological impact assessment using SYMBIOSE

Simon-­Cornu, M.; Beaugelin­-Seiller, K.; Boyer, Patrick; Calmon, Ph.; Garcia‐Sanchez, L.; Mourlon, C.; Nicoulaud, V.; Sy, Mouhamadou Moustapha; Gonze, M.-A.

doi:10.1016/j.jenvrad.2014.09.014

Cited by 19 publications

(7 citation statements)

References 23 publications

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“…The nuclear regulatory bodies need simple models, slightly conservative for public dose assessment and the CSA methodology (CSA, 2014a) was criticised not to be conservative (Thompson et al, 2015). In the present study, a probabilistic application of CSA model ( 2014a) is proposed with parameters having a probability density distribution, as it was recently reported but not for tritium (Simon-Cornu et al, 2015).…”

Section: Uncertainty Of Obt/hto Ratios For Routine Releasesmentioning

confidence: 89%

Uncertainty of current understanding regarding OBT formation in plants

Melintescu

Galeriu

2017

Journal of Environmental Radioactivity

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Radiological impact models are important tools that support nuclear safety. For tritium, a special radionuclide that readily enters the life cycle, the processes involved in its transport into the environment are complex and inadequately understood. For example, tritiated water (HTO) enters plants by leaf and root uptake and is converted to organically bound tritium (OBT) in exchangeable and non-exchangeable forms; however, the observed OBT/HTO ratios in crops exhibit large variability and contradict the current models for routine releases.Non-routine or spike releases of tritium further complicate the prediction of OBT formation.The experimental data for a short and intense atmospheric contamination of wheat are presented together with various models' predictions. The experimental data on wheat demonstrate that the OBT formation is a long process, it is dependent on receptor location and stack dynamics, there are differences between night and day releases, and the HTO dynamics in leaf and ear is a very important contributor to OBT formation.

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Section: Uncertainty Of Obt/hto Ratios For Routine Releasesmentioning

confidence: 89%

Uncertainty of current understanding regarding OBT formation in plants

Melintescu

Galeriu

2017

Journal of Environmental Radioactivity

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“…The metaanalysis applied here, using Bayesian hierarchical models, provides relevant posterior probability distributions describing the uncertainty for some characteristics of the interception process as well as useful tools to reproduce plausible interception factors given a plant biomass. One of the further developments expected from this work is to upgrade the probabilistic database of SYMBI-OSE (Gonze et al, 2011;Simon-Cornu et al, 2015), which is a modeling platform dedicated to the simulation of the transfer of radionuclides in ecosystems developed by the French Institute of Radioprotection and Nuclear Safety (IRSN). This would improve the way uncertainties are quantified and considered in risk assessment models.…”

Section: Discussionmentioning

confidence: 99%

Foliar interception of radionuclides in dry conditions: a meta-analysis using a Bayesian modeling approach

Ancelet

Henner

et al. 2015

Journal of Environmental Radioactivity

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“…Metode lain juga dilakukan untuk menghitung konsekuensi secara deterministik maupun probabilistik dengan menggunakan program SYMBIOSE [4]. Tidak berbeda dengan PC-Cosyma, simulasi analisis konsekuensi program tersebut juga memerlukan data input source term, meteorologi, kontur tapak, populasi penduduk, dan data lingkungan lainnya.…”

Section: Pendahuluanunclassified

PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe

Udiyani

Kuntjoro

2015

Tri Dasa Mega

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ABSTRAK PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe. Perhitungan dampak kecelakaan radiologi terhadap lepasan produk fisi akibat kecelakaan potensial yang mungkin terjadi di Pressurized Water Reactor (PWR) diperlukan secara probabilistik. Mengingat kondisi atmosfer sangat berperan terhadap dispersi radionuklida di lingkungan, dalam penelitian ini akan dianalisis pengaruh kondisi atmosferik terhadap perhitungan probabilistik dari konsekuensi kecelakaan reaktor. Tujuan penelitian adalah melakukan analisis terhadap pengaruh kondisi atmosfer berdasarkan model data input meteorologi terhadap dampak radiologi kecelakaan PWR 1000-MWe yang disimulasikan pada tapak yang mempunyai kondisi meteorologi yang berbeda. Simulasi menggunakan program PC-Cosyma dengan moda perhitungan probabilistik, dengan data input meteorologi yang dieksekusi secara cyclic dan stratified, dan disimulasikan di Tapak Semenanjung Muria dan Pesisir Serang. Data meteorologi diambil setiap jam untuk jangka waktu satu tahun. Hasil perhitungan menunjukkan bahwa frekuensi kumulatif untuk model input yang sama untuk Tapak pesisir Serang lebih tinggi dibandingkan dengan Semenanjung Muria. Untuk tapak yang sama, frekuensi kumulatif model input cyclic lebih tinggi dibandingkan model stratified. Model cyclic memberikan keleluasan dalam menentukan tingkat ketelitian perhitungan dan tidak membutuhkan data acuan dibandingkan dengan model stratified. Penggunaan model cyclic dan stratified melibatkan jumlah data yang besar dan pengulangan perhitungan akan meningkatkan ketelitian nilai-nilai statistika perhitungan. Kata kunci: dampak kecelakaan, PWR 1000-MWe, probabilistik, atmosferik, PC-Cosyma ABSTRACT THE INFLUENCE OF ATMOSPHERIC CONDITIONS TO PROBABILISTIC CALCULATION OF IMPACT OF RADIOLOGY ACCIDENT ON PWR-1000MWe. The calculation of the radiological impact of the fission products releases due to potential accidents that may occur in the PWR (Pressurized Water Reactor) is required in a probabilistic. The atmospheric conditions greatly contribute to the dispersion of radionuclides in the environment, so that in this study will be analyzed the influence of atmospheric conditions on probabilistic calculation of the reactor accidents consequences. The objective of this study is to conduct an analysis of the influence of atmospheric conditions based on meteorological input data models on the radiological consequences of PWR-1000MWe accidents. Simulations using PC-Cosyma code with probabilistic calculations mode, the meteorological data input executed cyclic and stratified, the meteorological input data are executed in the cyclic and stratified, and simulated in Muria Peninsula and Serang Coastal. Meteorological data were taken every hour for the duration of the year. The result showed that the cumulative frequency for the same input models for Serang coastal is higher than the Muria Peninsula. For the same site, cumulative frequency on cyclic input models is higher than stratified models. The cyclic models provide flexibility in determining the level of accuracy of calculations and do not require reference data compared to stratified models. The use of cyclic and stratified models involving large amounts of data and calculation repetition will improve the accuracy of statistical calculation values. Keywords: accident impact, PWR 1000 MWe, probabilistic, atmospheric, PC-Cosyma

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Evaluating variability and uncertainty in radiological impact assessment using SYMBIOSE

Cited by 19 publications

References 23 publications

Uncertainty of current understanding regarding OBT formation in plants

Uncertainty of current understanding regarding OBT formation in plants

Foliar interception of radionuclides in dry conditions: a meta-analysis using a Bayesian modeling approach

PENGARUH KONDISI ATMOSFERIK TERHADAP PERHITUNGAN PROBABILISTIK DAMPAK RADIOLOGI KECELAKAAN PWR 1000-MWe

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