Numerical Simulation of Regional Scale Dispersion of Radioactive Pollutants from the Accident at the Chernobyl Nuclear Power Plant.

Satomura, Takehiko; Kimura, Fujio; Sasaki, Hirokazu; Yoshikawa, Tomoaki; Muraji, Yoshitaka

doi:10.2467/mripapers.45.51

Cited by 4 publications

(5 citation statements)

References 12 publications

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“…It was applied to the transport of sulfur oxides in the east Asian region (Sato et al, 1995). The MRI-LTM was also applied to the regional scale dispersion of radioactive substances from the accident at the Chernobyl nuclear power plant by Satomura et al, (1994). The simulated surface concentration of radioactive substances showed good correspondence with the measurements.…”

Section: Introductionmentioning

confidence: 94%

“…The ECMWF analysis and the GANL data set were used for meteorological input to the dispersion submodel. Since Satomura et al (1994), and Sato et al (1995) give the detailed explanation of the meteorological prediction submodel, the explanation for the meteorological submodel is abridged here. Only each component in the dispersion submodel is explained below.…”

Section: Outline Of the Etexmentioning

confidence: 99%

“…(5) is, generally, used in the Eulerian dispersion model, but it is easily applied to the Lagrangian model (Walton et al, 1988). In the present study, we adopted the same conception by Satomura et al (1994) for dry deposition that is determined by random process. A particle is assumed to deposit if two conditions are satisfied.…”

Section: Parameterization For Dry Deposition Processmentioning

confidence: 99%

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Performance and Its Evaluation of the MRI Long Range Transport Model for ATMES-II Phase of ETEX

Sato¹,

Sasaki²,

Adachi³

1999

Journal of the Meteorological Society of Japan

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To predict the tracer cloud evolution in the European Tracer Experiment, two numerical simulation runs of air tracer dispersion are performed by using different meteorological input data. There are the global objective analyses, by the European Centre for Medium-Range Weather Forecast (ECMWF), and by the Japan Meteorological Agency (JMA). The simulated results are compared with each other, and evaluated statistically based on measured tracer concentration at specific sampling sites. The results of the statistical evaluation show that the predicted tracer cloud evolution, using the JMA analysis data, indicates a slightly better statistical score in the global and space dependent analyses, than the result by the ECMWF. The scores in the time dependent analysis show deferent values at every specific sampling sites, however, the averaged scores are slightly better for results by the ECMWF. It is difficult to discriminate synthetic superiority, and inferiority between both runs.It is inferred that the difference between both wind fields leads to different cloud evolution. The simulated tracer cloud evolution showed relatively good correspondence with measurements. Further references on the appropriate deposition velocity, and inclusion of precipitation process, are needed to get better correspondence with measurements.

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Section: Introductionmentioning

confidence: 94%

Section: Outline Of the Etexmentioning

confidence: 99%

Section: Parameterization For Dry Deposition Processmentioning

confidence: 99%

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Performance and Its Evaluation of the MRI Long Range Transport Model for ATMES-II Phase of ETEX

Sato¹,

Sasaki²,

Adachi³

1999

Journal of the Meteorological Society of Japan

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“…The random walk procedure is used for the horizontal and vertical diffusion. More details about the dispersion model can be found in Satomura et al (1994) and Sato et al (1995.…”

Section: Model Descriptionmentioning

confidence: 99%

“…They simulated the spread of the radioactive pollutants using the global model. Satomura et al (1994) used the regional model for simulating the dispersion of the radioactive pollutants from the accident at the Chernobyl nuclear power plant. Sato et al (1999A) developed the long-range sulfur transport model to evaluate the acid deposition in East Asia.…”

Section: Introductionmentioning

confidence: 99%

Development of a Dispersion Model for Volcanic Gas over Miyake Island.

Sasaki¹,

Seino²,

Sato³

et al. 2002

Journal of the Meteorological Society of Japan

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A very fine mesh dispersion model was developed for volcanic gas over Miyake Island. The model consisted of a meteorological prediction part and a dispersion part. The multi-nesting method was used for the meteorological prediction part to express the field, depending on synoptic weather pattern in this study. The grid size of the innermost model was 100 m. The days when the observed SO 2 concentration was comparatively high were chosen for the verification of the model. Four cases of 24-hour numerical simulations were conducted. We try to reproduce the SO 2 concentration in each situation. Following results were derived. The effect of the advection was dominant as compared with other physics, so the volcanic gas moved leeward. Even the slight change of the wind direction largely varied the concentration. The volcanic gas spread widely, in case of weak wind at night, because of the mountain breeze. Although there were some cases of time-lags of the peaks, and some degrees of overestimation, or underestimation, each situation was almost well reproduced.

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Assimilation of conventional and satellite wind observations in a mesoscale atmospheric model for studying atmospheric dispersion

Srinivas

Venkatesan

Yesubabu

et al. 2010

Atmospheric Environment

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Numerical Simulation of Regional Scale Dispersion of Radioactive Pollutants from the Accident at the Chernobyl Nuclear Power Plant.

Cited by 4 publications

References 12 publications

Performance and Its Evaluation of the MRI Long Range Transport Model for ATMES-II Phase of ETEX

Performance and Its Evaluation of the MRI Long Range Transport Model for ATMES-II Phase of ETEX

Development of a Dispersion Model for Volcanic Gas over Miyake Island.

Assimilation of conventional and satellite wind observations in a mesoscale atmospheric model for studying atmospheric dispersion

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