A case study of economic incentives and local citizens' attitudes toward hosting a nuclear power plant in Japan: Impacts of the Fukushima accident

Energy Policy ◽  
2013 ◽  
Vol 59 ◽  
pp. 808-818 ◽  
Author(s):  
Takaaki Kato ◽  
Shogo Takahara ◽  
Masashi Nishikawa ◽  
Toshimitsu Homma
Author(s):  
Michio Murakami ◽  
Takao Nirasawa ◽  
Takao Yoshikane ◽  
Keisuke Sueki ◽  
Kimikazu Sasa ◽  
...  

Evaluation of radiation exposure from diet is necessary under the assumption of a virtual accident as a part of emergency preparedness. Here, we developed a model with complete consideration of the regional food trade using deposition data simulated by a transport model, and estimated the dietary intake of radionuclides and the effectiveness of regulation (e.g., restrictions on the distribution of foods) after the Fukushima accident and in virtual accident scenarios. We also evaluated the dilution factors (i.e., ratios of contaminated foods to consumed foods) and cost-effectiveness of regulation as basic information for setting regulatory values. The doses estimated under actual emission conditions were generally consistent with those observed in food-duplicate and market-basket surveys within a factor of three. Regulation of restricted food distribution resulted in reductions in the doses of 54–65% in the nearest large city to the nuclear power plant. The dilution factors under actual emission conditions were 4.4% for radioiodine and 2.7% for radiocesium, which are ~20 times lower than those used in the Japanese provisional regulation values after the Fukushima accident. Strict regulation worsened the cost-effectiveness for both radionuclides. This study highlights the significance and utility of the developed model for a risk analysis of emergency preparedness and regulation.


Author(s):  
Wei Gao ◽  
Guofeng Tang ◽  
Jingyu Zhang ◽  
Qinfang Zhang

Seismic risk of nuclear power plant has drawn increasing attention after Fukushima accident. An intensive study has been carried out in this paper, including sampling of component and structure fragility based on Monte Carlo method, fragility analysis on system or plant level, convolution of seismic hazard curves and fragility curves. To derive more accurate quantification results, the binary decision diagram (BDD) algorithm was introduced into the quantification process, which effectively reduces the deficiency of the conventional method on coping with large probability events and negated logic. Seismic Probabilistic Safety Analysis (PSA/PRA) quantification software was developed based on algorithms discussed in this paper. Tests and application has been made for this software with a specific nuclear power plant seismic PSA model. The results show that this software is effective on seismic PSA quantification.


Author(s):  
Afrida Fairuz ◽  
Md. Hossain Sahadath

Abstract The prevailing meteorological conditions around the site of the proposed Rooppur Nuclear Power Plant have been studied vigorously. The in-depth perusal has revealed the existence of three seasons—summer, rainy, and winter with stability classes A, B, and A, respectively, during the day and F during the night. The eventual wind speed and direction of the seasons have been observed. Subsequent locations along the dispersion directions have been identified using googleearthpro, which includes highways, educational institution, medical centers, commercial area, etc. Dose contours corresponding to a source term equivalent to Fukushima accident have been created to verify the dispersion direction and perceive the plume arrival time in the designated locations using health physics code HotSpot. Strong dependency of plume arrival time on the stability classes has been observed, and lowest values are found for F stability class. Finally, some shelter houses are proposed to accommodate endangered inhabitants during emergency.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0212917 ◽  
Author(s):  
Hiroko Hori ◽  
Makiko Orita ◽  
Yasuyuki Taira ◽  
Takashi Kudo ◽  
Noboru Takamura

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