An unconventional adaptation of a classical Gaussian plume dispersion scheme for the fast assessment of external irradiation from a radioactive cloud

Pecha, Petr; Pechova, Emilie

doi:10.1016/j.atmosenv.2014.01.007

Cited by 16 publications

(3 citation statements)

References 3 publications

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“…The Gaussian plume dispersion model was applied here to access the long-term atmospheric release. The model is widely accepted for use in radiological assessment [5,16,17]. The model is considered appropriate for representing the dispersion of either continual or long-term intermittent release [5,16].…”

Section: Meteorological Datamentioning

confidence: 99%

“…The model is widely accepted for use in radiological assessment [5,16,17]. The model is considered appropriate for representing the dispersion of either continual or long-term intermittent release [5,16]. The meteorological data used a uniform wind rose, 60 % class D and E and 40 % rain in C and D. The radiation dose was calculated based on the radionuclides in the sourceterm.…”

Section: Meteorological Datamentioning

confidence: 99%

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Atmospheric Dispersion Analysis for Expected Radiation Dose due to Normal Operation of RSG-GAS and RDE Reactors

et al. 2018

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BATAN is planning to build an experimental power reactor, the RDE, to complement the RSG-GAS reactor that is already operating in the Serpong Nuclear Zone (KNS). The experimental power reactor is an HTGR (high-temperature gas-cooled reactor) with 10 MWt power, while the RSG-GAS is a pool-type water-cooled reactor with 30 MWt power. According to standard regulatory practices, under normal operating conditions of the plant, radiological assessment of atmospheric releases to the environment and assessment of public exposures are considered essential. The purpose of this study is to estimate the dose acceptance in Serpong Nuclear Zone (KNS) after operate the RDE operates in KNS-2. To assess the doses, the PC-CREAM 08 computer code was used. It uses a standard Gaussian plume dispersion model and composes a suite of models and data for estimation of the radiological impact assessments of routine and continual discharges from a nuclear reactor. The input data include sourceterm from the RDE and the RSG-GAS, a stack the height of 60 m annual radionuclides release, meteorological data from the Serpong local meteorological station, and agricultural products data from Serpong site. Results show that the highest individual dose in the area around KNS for adults is 6.16×10-3 mSv/y in the S (South) direction and 300 m distance from the stack of RSG. The highest collective dose around KNS within 3 km radius is 6.37×10-3 man-Sv/yr. The results show that the radiological impact of the KNS on the critical groups of public and the individual effective doses satisfy the limits given by the Nuclear Regulatory Agency of Indonesia (BAPETEN). The operation of RDE in KNS-2 does not add significantly to acceptance radiation dose in the environment in KNS. It can also be concluded that the estimated effective doses are lower than the dose constraint of 0.3 mSv/y associated with this plant.

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Section: Meteorological Datamentioning

confidence: 99%

Section: Meteorological Datamentioning

confidence: 99%

Atmospheric Dispersion Analysis for Expected Radiation Dose due to Normal Operation of RSG-GAS and RDE Reactors

et al. 2018

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“…Alternative approaches have used Lagrangian puff-based models such as Adronopoulos and Bartzis (2010) or Raza and Avila (2001). The GPM models typically approach the problem of calculation of doses in a homogeneous flow field, sometimes using meteorological data with the GPM to calculate dose levels for emergency release scenarios such as in Pecha and Pechova (2014) and McNaughton et al (2017b). The GPM model has been developed for use in the dispersion of radionuclides in the atmosphere, notably by Clarke et al (1979) and later developed by Jones (1980Jones ( , 1983, MacDonnell (2004) and Smith and Simmonds (2009).…”

Section: Introductionmentioning

confidence: 99%

A Gaussian-plume based Monte Carlo method for calculating radiation dose in the near field of buildings

Gallacher,

Robins,

Hayden

2024

J. Radiol. Prot.

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A Monte Carlo (MC) programme was written using the dose point kernel method to calculate doses in the roof zone of a building from nearby releases of radioactive gases. A Gaussian Plume Model (GPM) was parameterised to account for near-field building effects on plume spread and reflection from the roof. Rooftop recirculation zones and building-generated plume spread effects were accounted in a novel Dual Gaussian Plume (DGP) formulation used with the MC model, which allowed for the selection of angle of approach flow, plume release height in relation to the building and position of the release point in relation to the leading edge of the building. Three-dimensional wind tunnel concentration field data were used for the parameterisation. The MC code used the parameterised concentration field to calculate the contributions to effective dose from inhalation, cloud immersion from positron/beta particles, and gamma-ray dose for a wide range of receptor dose positions in the roof zone, including receptor positions at different heights above the roof. Broad trends in predicted radiation dose with angle of approach flow, release position in relation to the building and release height are shown. Alternative approaches for the derivation of the concentration field are discussed.

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An accurate and ultrafast method for estimating three-dimensional radiological dose rate fields from arbitrary atmospheric radionuclide distributions

Xiong

et al. 2019

Atmospheric Environment

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An unconventional adaptation of a classical Gaussian plume dispersion scheme for the fast assessment of external irradiation from a radioactive cloud

Cited by 16 publications

References 3 publications

Atmospheric Dispersion Analysis for Expected Radiation Dose due to Normal Operation of RSG-GAS and RDE Reactors

Atmospheric Dispersion Analysis for Expected Radiation Dose due to Normal Operation of RSG-GAS and RDE Reactors

A Gaussian-plume based Monte Carlo method for calculating radiation dose in the near field of buildings

An accurate and ultrafast method for estimating three-dimensional radiological dose rate fields from arbitrary atmospheric radionuclide distributions

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