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One of the serious fears for Japanese society is contamination of radioactive substances due to the huge earthquake and subsequent Fukushima No. 1 nuclear power plant disaster. This paper proposes a detection method to identify diffusion sources of radioactive small particles in the air based on publicly available data, which are composed of air dose rate, amount of rain, wind speed, and direction. Air dose rate is observed on each public monitoring point. The nearest weather observation station for each public monitoring point concerning air dose rate is also identified to analyze the relationship between air dose rate and weather conditions. This method focuses on all cases of continuous rainfall duration, because various sizes of spike concerning air dose rate on a public monitoring point are observed among the cases. Each spike starts when rainfall begins and the spike disappears when rainfall continues. This is because rainfall cleans up radioactive particles in the atmosphere. The method confirms a statistically significant difference of increase rate of air dose rate between each pair among rainfall cases. It also identifies an existence range of direction of diffusion sources based on significance tests of correlation coefficients.
Kazunari Ishida. 2014. \u201cIdentifying Existence Range of Diffusion Sources of Radioactive Small Particles\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 14 (GJHSS Volume 14 Issue B3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 146
Country: Japan
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Kazunari Ishida (PhD/Dr. count: 0)
View Count (all-time): 132
Total Views (Real + Logic): 4644
Total Downloads (simulated): 2242
Publish Date: 2014 06, Wed
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One of the serious fears for Japanese society is contamination of radioactive substances due to the huge earthquake and subsequent Fukushima No. 1 nuclear power plant disaster. This paper proposes a detection method to identify diffusion sources of radioactive small particles in the air based on publicly available data, which are composed of air dose rate, amount of rain, wind speed, and direction. Air dose rate is observed on each public monitoring point. The nearest weather observation station for each public monitoring point concerning air dose rate is also identified to analyze the relationship between air dose rate and weather conditions. This method focuses on all cases of continuous rainfall duration, because various sizes of spike concerning air dose rate on a public monitoring point are observed among the cases. Each spike starts when rainfall begins and the spike disappears when rainfall continues. This is because rainfall cleans up radioactive particles in the atmosphere. The method confirms a statistically significant difference of increase rate of air dose rate between each pair among rainfall cases. It also identifies an existence range of direction of diffusion sources based on significance tests of correlation coefficients.
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