Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling

2018 ◽  
Vol 52 (2) ◽  
pp. 85-101 ◽  
Author(s):  
Mizuo Kajino ◽  
Tsuyoshi Thomas Sekiyama ◽  
Anne Mathieu ◽  
Irène Korsakissok ◽  
Raphaël Périllat ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Process Modeling ◽  
Inverse Modeling ◽  
Atmospheric Modeling ◽  
Lessons Learned ◽  
Nuclear Accident ◽  
Fukushima Nuclear Accident ◽  
Ensemble Simulations ◽  
Modeling Studies

scholarly journals Communicating With Residents About Risks Following the Fukushima Nuclear Accident

2017 ◽  
Vol 29 (2_suppl) ◽  
pp. 74S-89S ◽  
Author(s):  
Michio Murakami ◽  
Akiko Sato ◽  
Shiro Matsui ◽  
Aya Goto ◽  
Atsushi Kumagai ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Communication ◽  
Health Management ◽  
Well Being ◽  
Lessons Learned ◽  
Nuclear Accident ◽  
Fukushima Nuclear Accident ◽  
Whole Body ◽  
Systematic Evaluation ◽  
Medical Professionals

The Fukushima nuclear accident in March 2011 posed major threats to public health. In response, medical professionals have tried to communicate the risks to residents. To investigate forms of risk communication and to share lessons learned, we reviewed medical professionals’ activities in Fukushima Prefecture from the prefectural level to the individual level: public communication through Fukushima Health Management Surveys, a Yorozu (“general”) health consultation project, communications of radiological conditions and health promotion in Iitate and Kawauchi villages, dialogues based on whole-body counter, and science communications through online media. The activities generally started with radiation risks, mainly through group-based discussions, but gradually shifted to face-to-face communications to address comprehensive health risks to individuals and well-being. The activities were intended to support residents’ decisions and to promote public health in a participatory manner. This article highlights the need for a systematic evaluation of ongoing risk communication practices, and a wider application of successful approaches for Fukushima recovery and for better preparedness for future disasters.

Assessing Sensitivity of Observations in Source Term Estimation for Nuclear Accidents

2012 ◽  
Author(s):  
Yuanwei Ma ◽  
Dezhong Wang ◽  
Wenji Tan ◽  
Zhilong Ji ◽  
Kuo Zhang
Keyword(s):  
Data Assimilation ◽  
Source Term ◽  
Dynamic Models ◽  
Source Parameters ◽  
Nuclear Accident ◽  
Fukushima Nuclear Accident ◽  
Observation Data ◽  
Source Terms ◽  
Highly Nonlinear ◽  
Assimilation System

In the Fukushima nuclear accident, due to the lack of field observations and the complexity of source terms, researchers failed to estimate the source term accurately immediately. Data assimilation methods to estimate source terms have many good features: they works well with highly nonlinear dynamic models, no linearization in the evolution of error statistics, etc. This study built a data assimilation system using the ensemble Kalman Filter for real-time estimates of source parameters. The assimilation system uses a Gaussian puff model as the atmospheric dispersion model, assimilating forward with the observation data. Considering measurement error, numerical experiments were carried on to verify the stability and accuracy of the scheme. Then the sensitivity of observation configration is tested by the twin experiments. First, the single parameter release rate of the source term is estimated by different sensor grid configurations. In a sparse sensors grid, the error of estimation is about 10%, and in a 11*11 grid configuration, the error is less than 1%. Under the analysis of the Fukushima nuclear accident, ahead for the actual situation, four parameters are estimated at the same time, by 2*2 to 11*11 grid configurations. The studies showed that the radionuclides plume should cover as many sensors as possible, which will lead a to successful estimation.

Pembelajaran Kecelakaan Nuklir Fukushima bagi Indonesia

2021 ◽  
Vol 1 (1) ◽  
pp. 12-17
Author(s):  
Reno Alamsyah
Keyword(s):  
Nuclear Power ◽  
Power Plants ◽  
Large Scale ◽  
Qualitative Methodology ◽  
Secondary Data ◽  
Lessons Learned ◽  
International Standards ◽  
Nuclear Accident ◽  
Fukushima Nuclear Accident ◽  
Safety Requirement

The Fukushima nuclear accident that occurred a decade ago has been considered a major accident. In this decade period, various important aspects of this accident were considered well-established for learning to improve nuclear safety infrastructure and prevent similar major accidents. The learning is very relevant for Indonesia, which is considered as an embarking country. Thus, this paper aims to assess the lessons that have been and can be learned by Indonesia from the nuclear accident. This study applies an analytical, descriptive and qualitative methodology using secondary data. In the first step, the important aspects of safety in the accident were identified applying the IAEA general safety requirement standards. The next step is the identification of relevant topics for each of these aspects in order to detail the lessons learned through an analysis of existing laws and regulations and international standards. This paper concludes that Indonesia has learned the lessons from the Fukushima nuclear accident in the aspects of international agreements, regulatory principles, and in accident prevention and mitigation. However, Indonesia still needs significant upgrading in the aspect’s leadership for safety and improvements in all these aspects. If a national decision has been made to build nuclear power plant, then these upgrading and improvements must be made to prevent a large-scale nuclear accident as happened at the Fukushima nuclear power plants.

Re-establishment of medical and healthcare systems for nuclear emergency workers based on the lessons learned from the 2011 Fukushima nuclear accident

2019 ◽  
Vol 54 (4) ◽  
pp. 283-288
Author(s):  
S. Yasui
Keyword(s):  
Health Care ◽  
Health Risks ◽  
Health Care Systems ◽  
Healthcare Systems ◽  
Lessons Learned ◽  
Nuclear Accident ◽  
Fukushima Nuclear Accident ◽  
Emergency Workers ◽  
Care Systems ◽  
Medical And Healthcare

In response to the Fukushima nuclear accident in 2011, the Ministry of Health, Labour and Welfare (MHLW) temporarily increased emergency dose limits from 100 to 250 mSv from March 14 to December 16, 2011, but there were many problems in medical and health care systems. Based on the lessons learned, in 2015, the MHLW deliberated for radiation protection and medical and health care systems to prepare for future nuclear emergencies. The paper aims to describe and share the experience gained in the process of setting medical and healthcare systems. The paper outlines the issues of: (a) on-site medical and health care systems; (b) health care during emergency work and; (c) long-term health care. For the deliberation, the MHLW had to find the way to keep a balance between the protection of the emergency workers and the prompt implementation of crisis response. The MHLW built a consensus among stakeholders by providing lifetime healthcare systems as compensation for the radiation health risks and by enhancing preparedness to eliminate confusion and disorder and improve the level of protection against health risks. The experience gained shows that acceptance of the health risks due to radiation exposure needs not only a scientific basis, but also social acceptance.

Data Assimilation for Fukushima Nuclear Accident Assessments

2017 ◽  
Author(s):  
Mei Xu ◽  
Biao Yuan ◽  
Liangyu Wang ◽  
Lijun Zhang
Keyword(s):  
Data Assimilation ◽  
Dose Rate ◽  
Radiation Field ◽  
Nuclear Power ◽  
Nuclear Accident ◽  
Radioactive Material ◽  
Fukushima Nuclear Accident ◽  
The Real ◽  
Kalman Filter Algorithm ◽  
Good Agreement

In order to investigate the feasibility of data assimilation in a real nuclear accident environment, measurements of Fukushima nuclear accident were considered. The data assimilation system was constructed by using the Lagrangian puff model as the radioactive material diffusion model, and 86 group real dose rate data from the accident as the observations, and the Ensemble Kalman Filter algorithm as the assimilation algorithm. The experimental results show that the assimilated nuclear accident radiation field is in good agreement with the actual measurements, the land contaminated areas are concentrated in the northwest of the nuclear power plant. With the increase of the real measurements, the error of the radiation field decreases with time. Compared with the results with no assimilation, the uncertainty of assimilated dose rate was reduced more than 80%. Through the data assimilation, the whole error of the radiation field is about 30%. The utilization of the real measurements can reduce the uncertainty of the model prediction.

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