scholarly journals Source Term Estimation of 131I and 137Cs Discharged from the Fukushima Daiichi Nuclear Power Plant into the Atmosphere

2013 ◽  
pp. 155-173 ◽  
Author(s):  
Haruyasu Nagai ◽  
Genki Katata ◽  
Hiroaki Terada ◽  
Masamichi Chino
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Source Term ◽  
Source Term Estimation ◽  
Fukushima Daiichi

scholarly journals Estimation of the caesium-137 source term from the Fukushima Daiichi nuclear power plant using a consistent joint assimilation of air concentration and deposition observations

2014 ◽  
Vol 82 ◽  
pp. 268-279 ◽  
Author(s):  
Victor Winiarek ◽  
Marc Bocquet ◽  
Nora Duhanyan ◽  
Yelva Roustan ◽  
Olivier Saunier ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Source Term ◽  
Air Concentration ◽  
Fukushima Daiichi

Coupled Source Term Estimation Using Both Forward and Backward Method for Nuclear Power Plant Accident

2016 ◽  
Author(s):  
Sida Sun ◽  
Sheng Fang ◽  
Yun Liu ◽  
Hong Li
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Environmental Monitoring ◽  
Nuclear Power ◽  
Source Term ◽  
Nuclear Accident ◽  
Monitoring Data ◽  
Source Term Estimation ◽  
Status Data ◽  
Environmental Monitoring Data

The source term information of radioactive release in a nuclear accident is important for nuclear accident classification, radiological consequences evaluation and emergency response. Two major categories of source term estimation techniques are forward method based on the status data of the nuclear reactor and backward method based on environmental monitoring data. Although the forward method is more widely used, it may introduce large uncertainties into the source term estimate due to its subjective parameters and low quality of reactor status data in a severe accident. To reduce these uncertainties, a coupled source term estimation method that combines both forward and backward models, is proposed in this study. The forward part provides a source term forecast model based on Response Technical Manual RTM-96. Under the framework of sequential data assimilation, the backward part iteratively reduces the uncertainties in the source term estimate using environmental monitoring data. Numerical experiments with different uncertainties are performed using the reactor and monitoring point information of real Chinese nuclear power plant and its atmospheric tracer experiments.

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