2018
DOI: 10.1016/j.jenvrad.2018.01.002
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Comparisons between a new point kernel-based scheme and the infinite plane source assumption method for radiation calculation of deposited airborne radionuclides from nuclear power plants

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Cited by 12 publications
(3 citation statements)
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“…The atmospheric transport model is usually coupled with a gamma radiation model to evaluate radiation exposure [233][234][235][236] . Monte Carlo codes are important tools for simulating interactions between neurons, protons, photons, and electrons with other particles and media.…”
Section: Radiation From Cloud and Ground Depositionmentioning
confidence: 99%
See 1 more Smart Citation
“…The atmospheric transport model is usually coupled with a gamma radiation model to evaluate radiation exposure [233][234][235][236] . Monte Carlo codes are important tools for simulating interactions between neurons, protons, photons, and electrons with other particles and media.…”
Section: Radiation From Cloud and Ground Depositionmentioning
confidence: 99%
“…In the Japanese System for Prediction of Environmental Emergency Dose Information (SPEEDI) [ 247 , 248 ] and the Worldwide Version of SPEEDI [249] , integration based on the point kernel method is applied for radioactive plume gamma dose computation. The point kernel method has been combined with the Lagrangian puff model to evaluate the ground radiation due to deposition, and the differences between the proposed method and the traditional "infinite plane " source assumption have been investigated under various meteorological conditions [234] . The Lagrangian CALPUFF model has been utilized to investigate external and internal radiation from hypothesized severe accidents at the Daya Bay Nuclear Power Plant (DBNPP) [250] .…”
Section: Radiation From Cloud and Ground Depositionmentioning
confidence: 99%
“…As a kind of neutral particle, the neutron has a strong penetrating power. It appears widely in nuclear/fusion plants [1][2][3][4]. A transparent window (viewing window) is required for visual inspection in nuclear/fusion plants.…”
Section: Introductionmentioning
confidence: 99%