Examining the Nuclear Accident at Fukushima Daiichi

Elements ◽  
2012 ◽  
Vol 8 (3) ◽  
pp. 189-194 ◽  
Author(s):  
E. D. Blandford ◽  
J. Ahn
Keyword(s):  
Nuclear Accident ◽  
Fukushima Daiichi

scholarly journals Surveys of Food Intake Just after the Nuclear Accident at the Fukushima Daiichi Nuclear Power Station

2017 ◽  
Vol 58 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Sachiko HIRAKAWA ◽  
Nobuaki YOSHIZAWA ◽  
Kana MURAKAMI ◽  
Mari TAKIZAWA ◽  
Masaki KAWAI ◽  
...  
Keyword(s):  
Food Intake ◽  
Nuclear Power Station ◽  
Nuclear Power ◽  
Nuclear Accident ◽  
Power Station ◽  
Fukushima Daiichi

scholarly journals Tweeting disaster: an analysis of online discourse about nuclear power in the wake of the Fukushima Daiichi nuclear accident

2016 ◽  
Vol 15 (05) ◽  
pp. A02 ◽  
Author(s):  
Nan Li ◽  
Heather Akin ◽  
Leona Yi-Fan Su ◽  
Dominique Brossard ◽  
Michael Xenos ◽  
...  
Keyword(s):  
Nuclear Power ◽  
English Language ◽  
Tohoku Earthquake ◽  
Nuclear Accident ◽  
Online Information ◽  
Environmental Implications ◽  
The 2011 Tohoku Earthquake ◽  
Engagement Strategies ◽  
Information Tools ◽  
Fukushima Daiichi

Of all the online information tools that the public relies on to collect information and share opinions about scientific and environmental issues, Twitter presents a unique venue to assess the spontaneous and genuine opinions of networked publics, including those about a focusing event like the Fukushima Daiichi nuclear accident following the 2011 Tohoku earthquake and tsunami. Using computational linguistic algorithms, this study analyzes a census of English-language tweets about nuclear power before, during, and after the Fukushima nuclear accident. Results show that although discourse about the event may have faded rapidly from the news cycle on traditional media, it evoked concerns about reactor safety and the environmental implications of nuclear power, particularly among users in U.S. states that are geographically closer to the accident site. Also, while the sentiment of the tweets was primarily pessimistic about nuclear power weeks after the accident, overall sentiment became increasingly neutral and uncertain over time. This study reveals there is a group of concerned citizens and stakeholders who are using online tools like Twitter to communicate about global and local environmental and health risks related to nuclear power. The implications for risk communication and public engagement strategies are discussed.

Atmospheric Activity Concentration of 90Sr and 137Cs after the Fukushima Daiichi Nuclear Accident

2018 ◽  
Vol 52 (17) ◽  
pp. 9917-9925 ◽  
Author(s):  
Zijian Zhang ◽  
Kazuhiko Ninomiya ◽  
Yoshiaki Yamaguchi ◽  
Kazuyuki Kita ◽  
Haruo Tsuruta ◽  
...  
Keyword(s):  
Activity Concentration ◽  
Nuclear Accident ◽  
Fukushima Daiichi ◽  
Atmospheric Activity

Emergency response to the nuclear accident at the Fukushima Daiichi Nuclear Power Plants using mobile rescue robots

2012 ◽  
Vol 30 (1) ◽  
pp. 44-63 ◽  
Author(s):  
Keiji Nagatani ◽  
Seiga Kiribayashi ◽  
Yoshito Okada ◽  
Kazuki Otake ◽  
Kazuya Yoshida ◽  
...  
Keyword(s):  
Emergency Response ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Nuclear Accident ◽  
Fukushima Daiichi ◽  
Rescue Robots

Release rate estimation of both long- and short-lived radionuclides for the Fukushima Daiichi nuclear accident based on local-scale observations

2020 ◽  
Author(s):  
Sheng Fang ◽  
Xinpeng Li ◽  
Shuhan Zhuang
Keyword(s):  
Release Rate ◽  
Source Term ◽  
A Priori ◽  
Regional Scale ◽  
Local Scale ◽  
Gamma Dose ◽  
Nuclear Accident ◽  
Dose Rates ◽  
Gamma Dose Rates ◽  
Fukushima Daiichi

<p>Many efforts have been devoted to estimate the release rate of the radionuclide emission in the Fukushima Daiichi nuclear accident using regional scale observations. Because of the radioactive decay, regional scale observations may not provide information of short-lived radionuclides, which contributes the majority of radiation exposure in the early stage. In this study, the local-scale gamma dose rates data were used to estimate the atmospheric release rates of both long- and short-lived radio nuclides.The proposed method uses reactor physics to obtain an a priori radionuclide composition and a reverse source term estimate as an a priori release rate. A weighted additive model is developed, which uses the local-scale gamma dose rates to handle the conflicts between the two priors and to simultaneously incorporate them into the source inversion. The proposed method is validated against both the local-scale gamma dose rates and the regional concentration measurements of Cs-137. The results prove that the retrieved a posteriori source term combines the advantages of both priors and substantially improves the predictions of the on-site gamma dose rates. Given a detailed priori release rate, this approach also improves the regional predictions of both airborne and deposited Cs-137 concentrations.</p>

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