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Year 2021, , 67 - 72, 31.12.2021
https://doi.org/10.22531/muglajsci.955946

Abstract

References

  • Bohanec, M., Ivan, V., Ivica, B., Klemen, D., and Luka Š., "Conceptual design of a decision support tool for severe accident management in nuclear power plants." PhD diss., Institut Jožef Stefan, 2019.
  • Yablokov, A.V., Nesterenko, V.B. and Nesterenko, A.V. (Editor, Sherman-Nevinger, J.D.), Chernobyl: Consequences of the Catastrophe for People and the Environment (Vol. 39). Blackwell Publishing for the Annals of the New York Academy of Sciences, Boston, MA, 2010.
  • Espegren, F. and Ekberg, C., “Potential tellurium deposits in the BWR containment during a severe nuclear accident”, Annals of Nuclear Energy, 146, p.1076292020, 2020.
  • Pontillon, Y. and Ducros, G., “Behaviour of fission products under severe PWR accident conditions: The VERCORS experimental programme—Part 2: Release and transport of fission gases and volatile fission products”, Nuclear engineering and design, 240(7), 1853-1866, 2010.
  • Weeks, M.E., “The discovery of the elements. VI. Tellurium and selenium”. Journal of Chemical Education, 9(3), 474, 1932.
  • He, Z., Yang, Y., Liu, J.W. and Yu, S.H., “Emerging tellurium nanostructures: controllable synthesis and their applications”, Chemical Society Reviews, 46(10), 2732-2753, 2017.
  • Kar, S., “Optical and Structural Studies of Binary Compounds by Explosive Laser Irradiation and Heat Treatment”, Nanocomposites with Unique Properties and Applications in Medicine and Industry, 267, 2011.
  • Atomic Energy Research Institute (KACST), General Instructions on Protection against Ionizing Radiations In The Kingdom of Saudi Arabia, King Abd al-Aziz City for Science and Technology, Kingdom of Saudi Arabia, 2007.
  • Alessandrello, A., Arnaboldi, C., Brofferio, C., Capelli, S., Cremonesi, O., Fiorini, E., Nucciotti, A., Pavan, M., Pessina, G., Pirro, S., Previtali, E., Sisti, M., Vanzini, M., Zanotti, L., Giuliani, A., Pedretti, M., Bucci, C. and Pobes, C., “New limits on naturally occurring electron capture of 123Te”, Physical Review C, 67(1), 2003.
  • Meija, J., Coplen, T., Berglund, M., Brand, W., De Bièvre, P., Gröning, M., Holden, N., Irrgeher, J., Loss, R., Walczyk, T. and Prohaska, T., “Atomic weights of the elements 2013 (IUPAC Technical Report)”, Pure and Applied Chemistry, 88(3), 265-291, 2016.
  • Auranen, K., Seweryniak, D., Albers, M., Ayangeakaa, A., Bottoni, S., Carpenter, M., Chiara, C., Copp, P., David, H., Doherty, D., Harker, J., Hoffman, C., Janssens, R., Khoo, T., Kuvin, S., Lauritsen, T., Lotay, G., Rogers, A., Sethi, J., Scholey, C., Talwar, R., Walters, W., Woods, P. and Zhu, S., “Superallowed α Decay to Doubly Magic Sn100”, Physical Review Letters, 121(18), 2018.
  • Fukumoto, M., Low-Dose Radiation Effects on Animals and Ecosystems. Amsterdam University Press, Singapore, 2020.
  • Silini, G., “The United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR)”, Radiation Protection Dosimetry, 1(4), 261-262, 1981.
  • Parthasarathy, R., “Applied Statistics Manual: A Guide to Improving and Sustaining Quality with Minitab”, Quality Progress, 52(8), 62-62, 2019.
  • Cintas, P.G., Marco-Almagro, L. and Llabres, J.T.M., Industrial statistics with Minitab. Hoboken: Wiley, Barcelona, 2012.
  • Henderson, G.R., Six Sigma quality improvement with MINITAB. John Wiley & Sons, West Sussex, 2011.
  • Lesik, S.A., Applied statistical inference with MINITAB®. CRC Press, Boca Raton, 2018.
  • Eissa, M. and Rashed, E., “Unique Quantitative Analysis of Tsunami Waves using Statistical Software: A Case Study of The Major Recorded Hawaii Incidents”. Advanced Materials Proceedings, 6(1), 21010419-21010419, 2021.
  • Eissa, M.E., “Application of Laney control chart in assessment of microbiological quality of oral pharmaceutical filterable products”, Bangladesh Journal of Scientific and Industrial Research, 52(3), 239-246, 2017.
  • Eissa, M.E., 2019. “Use of Control Charts as a Quality Control Tool for Monitoring of Microbiological Infection Risk during Surgery: An Expository Case”. Clinical Journal of Surgery, 2(1), 1-3, 2019.
  • Eissa, M. and Rashed, E., “Inventory Digital Management Using Statistical Process Control Analysis in Healthcare Industry”, Dijital Çağda İşletmecilik Dergisi, 3(2), 123-128, 2020.
  • Eissa, M., “The attribute control charts for outbreak trends of selected states in the USA: a brief report of the insight into the pattern”, Int. Med., 1(1), 11-4, 2019.
  • Eissa, E. and Abdoh, M., “Evaluation of quality characteristics and process stability for pharmaceutical dosage form using attribute control charts”, International Journal of Advances in Medical Sciences, 09-15, 2020.
  • Komissarov, M. and Ogura, S.I., “Siltation and radiocesium pollution of small lakes in different catchment types far from the Fukushima Daiichi nuclear power plant accident site”, International Soil and Water Conservation Research, 8(1), 56-65, 2020.
  • Mabon, L., “Enhancing post-disaster resilience by ‘building back greener’: Evaluating the contribution of nature-based solutions to recovery planning in Futaba County, Fukushima Prefecture, Japan”, Landscape and urban planning, 187, 105-118, 2019.
  • Mikami, S., Maeyama, T., Hoshide, Y., Sakamoto, R., Sato, S., Okuda, N., Demongeot, S., Gurriaran, R., Uwamino, Y., Kato, H. and Fujiwara, M., “Spatial distributions of radionuclides deposited onto ground soil around the Fukushima Dai-ichi Nuclear Power Plant and their temporal change until December 2012”, Journal of environmental radioactivity, 139, 320-343, 2015.
  • Sun, D., Wainwright, H.M., Oroza, C.A., Seki, A., Mikami, S., Takemiya, H. and Saito, K., “Optimizing long-term monitoring of radiation air-dose rates after the Fukushima Daiichi Nuclear Power Plant”, Journal of environmental radioactivity, 220, 106281, 2020.
  • Yonemoto, K., “Changes in the input–output structures of the six regions of Fukushima, Japan: 3 years after the disaster”, Journal of Economic Structures, 5(1), 1-20, 2016.
  • Saito, H. and Goovaerts, P., “Geostatistical interpolation of positively skewed and censored data in a dioxin-contaminated site”, Environmental Science & Technology, 34(19), 4228-4235, 2000.
  • Eissa, M.E., Seif, M. and Fares, M., “Assessment of purified water quality in pharmaceutical facility using six sigma tools” International Journal of Pharmaceutical Quality Assurance, 6(02), 54-72, 2015.
  • Nelson, L.S., “Shewhart control charts with unequal subgroup sizes”, Journal of Quality Technology, 26(1), 64-67, 1994.

STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES

Year 2021, , 67 - 72, 31.12.2021
https://doi.org/10.22531/muglajsci.955946

Abstract

One of the most shocking accidents that have impacted the world recently was the devastation of the Fukushima-Daiichi nuclear power plant following a major earthquake followed by a strong 15-meter Tsunami wave affecting the east coast region. One of the major adverse consequences of this catastrophic event is the release and dissemination of radioactive materials in the surrounding environment. Tellurium-129m is one of the comprehensively traced fission products to assess the magnitude of spreading by measuring ground soil deposition of radioactivity. Radiation level/location relationship study was tested using a simple and inexpensive statistical software package using unique Statistical Process Control methodologies for the United Nations Scientific Committee on the Effects of Atomic Radiation database that demonstrated spiking in radioactivity. Sampling points were geographically associated with the radioactivity level with the spot of the maximum radionuclide concentration could be linked with the damaged plant location. More than three-fifths of the measured radioactivity are confined in an area of about 640 km2 covering five municipalities namely Namie, and Futaba towns, Litate village and Iwaki city. The latitude-oriented chart showed a sudden rise in deposition followed by a gradual decline. Excessive Tellurium-129m activity could be observed in the area of the catastrophic event.

References

  • Bohanec, M., Ivan, V., Ivica, B., Klemen, D., and Luka Š., "Conceptual design of a decision support tool for severe accident management in nuclear power plants." PhD diss., Institut Jožef Stefan, 2019.
  • Yablokov, A.V., Nesterenko, V.B. and Nesterenko, A.V. (Editor, Sherman-Nevinger, J.D.), Chernobyl: Consequences of the Catastrophe for People and the Environment (Vol. 39). Blackwell Publishing for the Annals of the New York Academy of Sciences, Boston, MA, 2010.
  • Espegren, F. and Ekberg, C., “Potential tellurium deposits in the BWR containment during a severe nuclear accident”, Annals of Nuclear Energy, 146, p.1076292020, 2020.
  • Pontillon, Y. and Ducros, G., “Behaviour of fission products under severe PWR accident conditions: The VERCORS experimental programme—Part 2: Release and transport of fission gases and volatile fission products”, Nuclear engineering and design, 240(7), 1853-1866, 2010.
  • Weeks, M.E., “The discovery of the elements. VI. Tellurium and selenium”. Journal of Chemical Education, 9(3), 474, 1932.
  • He, Z., Yang, Y., Liu, J.W. and Yu, S.H., “Emerging tellurium nanostructures: controllable synthesis and their applications”, Chemical Society Reviews, 46(10), 2732-2753, 2017.
  • Kar, S., “Optical and Structural Studies of Binary Compounds by Explosive Laser Irradiation and Heat Treatment”, Nanocomposites with Unique Properties and Applications in Medicine and Industry, 267, 2011.
  • Atomic Energy Research Institute (KACST), General Instructions on Protection against Ionizing Radiations In The Kingdom of Saudi Arabia, King Abd al-Aziz City for Science and Technology, Kingdom of Saudi Arabia, 2007.
  • Alessandrello, A., Arnaboldi, C., Brofferio, C., Capelli, S., Cremonesi, O., Fiorini, E., Nucciotti, A., Pavan, M., Pessina, G., Pirro, S., Previtali, E., Sisti, M., Vanzini, M., Zanotti, L., Giuliani, A., Pedretti, M., Bucci, C. and Pobes, C., “New limits on naturally occurring electron capture of 123Te”, Physical Review C, 67(1), 2003.
  • Meija, J., Coplen, T., Berglund, M., Brand, W., De Bièvre, P., Gröning, M., Holden, N., Irrgeher, J., Loss, R., Walczyk, T. and Prohaska, T., “Atomic weights of the elements 2013 (IUPAC Technical Report)”, Pure and Applied Chemistry, 88(3), 265-291, 2016.
  • Auranen, K., Seweryniak, D., Albers, M., Ayangeakaa, A., Bottoni, S., Carpenter, M., Chiara, C., Copp, P., David, H., Doherty, D., Harker, J., Hoffman, C., Janssens, R., Khoo, T., Kuvin, S., Lauritsen, T., Lotay, G., Rogers, A., Sethi, J., Scholey, C., Talwar, R., Walters, W., Woods, P. and Zhu, S., “Superallowed α Decay to Doubly Magic Sn100”, Physical Review Letters, 121(18), 2018.
  • Fukumoto, M., Low-Dose Radiation Effects on Animals and Ecosystems. Amsterdam University Press, Singapore, 2020.
  • Silini, G., “The United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR)”, Radiation Protection Dosimetry, 1(4), 261-262, 1981.
  • Parthasarathy, R., “Applied Statistics Manual: A Guide to Improving and Sustaining Quality with Minitab”, Quality Progress, 52(8), 62-62, 2019.
  • Cintas, P.G., Marco-Almagro, L. and Llabres, J.T.M., Industrial statistics with Minitab. Hoboken: Wiley, Barcelona, 2012.
  • Henderson, G.R., Six Sigma quality improvement with MINITAB. John Wiley & Sons, West Sussex, 2011.
  • Lesik, S.A., Applied statistical inference with MINITAB®. CRC Press, Boca Raton, 2018.
  • Eissa, M. and Rashed, E., “Unique Quantitative Analysis of Tsunami Waves using Statistical Software: A Case Study of The Major Recorded Hawaii Incidents”. Advanced Materials Proceedings, 6(1), 21010419-21010419, 2021.
  • Eissa, M.E., “Application of Laney control chart in assessment of microbiological quality of oral pharmaceutical filterable products”, Bangladesh Journal of Scientific and Industrial Research, 52(3), 239-246, 2017.
  • Eissa, M.E., 2019. “Use of Control Charts as a Quality Control Tool for Monitoring of Microbiological Infection Risk during Surgery: An Expository Case”. Clinical Journal of Surgery, 2(1), 1-3, 2019.
  • Eissa, M. and Rashed, E., “Inventory Digital Management Using Statistical Process Control Analysis in Healthcare Industry”, Dijital Çağda İşletmecilik Dergisi, 3(2), 123-128, 2020.
  • Eissa, M., “The attribute control charts for outbreak trends of selected states in the USA: a brief report of the insight into the pattern”, Int. Med., 1(1), 11-4, 2019.
  • Eissa, E. and Abdoh, M., “Evaluation of quality characteristics and process stability for pharmaceutical dosage form using attribute control charts”, International Journal of Advances in Medical Sciences, 09-15, 2020.
  • Komissarov, M. and Ogura, S.I., “Siltation and radiocesium pollution of small lakes in different catchment types far from the Fukushima Daiichi nuclear power plant accident site”, International Soil and Water Conservation Research, 8(1), 56-65, 2020.
  • Mabon, L., “Enhancing post-disaster resilience by ‘building back greener’: Evaluating the contribution of nature-based solutions to recovery planning in Futaba County, Fukushima Prefecture, Japan”, Landscape and urban planning, 187, 105-118, 2019.
  • Mikami, S., Maeyama, T., Hoshide, Y., Sakamoto, R., Sato, S., Okuda, N., Demongeot, S., Gurriaran, R., Uwamino, Y., Kato, H. and Fujiwara, M., “Spatial distributions of radionuclides deposited onto ground soil around the Fukushima Dai-ichi Nuclear Power Plant and their temporal change until December 2012”, Journal of environmental radioactivity, 139, 320-343, 2015.
  • Sun, D., Wainwright, H.M., Oroza, C.A., Seki, A., Mikami, S., Takemiya, H. and Saito, K., “Optimizing long-term monitoring of radiation air-dose rates after the Fukushima Daiichi Nuclear Power Plant”, Journal of environmental radioactivity, 220, 106281, 2020.
  • Yonemoto, K., “Changes in the input–output structures of the six regions of Fukushima, Japan: 3 years after the disaster”, Journal of Economic Structures, 5(1), 1-20, 2016.
  • Saito, H. and Goovaerts, P., “Geostatistical interpolation of positively skewed and censored data in a dioxin-contaminated site”, Environmental Science & Technology, 34(19), 4228-4235, 2000.
  • Eissa, M.E., Seif, M. and Fares, M., “Assessment of purified water quality in pharmaceutical facility using six sigma tools” International Journal of Pharmaceutical Quality Assurance, 6(02), 54-72, 2015.
  • Nelson, L.S., “Shewhart control charts with unequal subgroup sizes”, Journal of Quality Technology, 26(1), 64-67, 1994.
There are 31 citations in total.

Details

Primary Language English
Journal Section Journals
Authors

Mostafa Eissa 0000-0003-3562-5935

Engy Rashed 0000-0002-6593-378X

Dalia Essam Eıssa This is me 0000-0002-6340-8973

Publication Date December 31, 2021
Published in Issue Year 2021

Cite

APA Eissa, M., Rashed, E., & Essam Eıssa, D. (2021). STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES. Mugla Journal of Science and Technology, 7(2), 67-72. https://doi.org/10.22531/muglajsci.955946
AMA Eissa M, Rashed E, Essam Eıssa D. STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES. Mugla Journal of Science and Technology. December 2021;7(2):67-72. doi:10.22531/muglajsci.955946
Chicago Eissa, Mostafa, Engy Rashed, and Dalia Essam Eıssa. “STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES”. Mugla Journal of Science and Technology 7, no. 2 (December 2021): 67-72. https://doi.org/10.22531/muglajsci.955946.
EndNote Eissa M, Rashed E, Essam Eıssa D (December 1, 2021) STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES. Mugla Journal of Science and Technology 7 2 67–72.
IEEE M. Eissa, E. Rashed, and D. Essam Eıssa, “STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES”, Mugla Journal of Science and Technology, vol. 7, no. 2, pp. 67–72, 2021, doi: 10.22531/muglajsci.955946.
ISNAD Eissa, Mostafa et al. “STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES”. Mugla Journal of Science and Technology 7/2 (December 2021), 67-72. https://doi.org/10.22531/muglajsci.955946.
JAMA Eissa M, Rashed E, Essam Eıssa D. STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES. Mugla Journal of Science and Technology. 2021;7:67–72.
MLA Eissa, Mostafa et al. “STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES”. Mugla Journal of Science and Technology, vol. 7, no. 2, 2021, pp. 67-72, doi:10.22531/muglajsci.955946.
Vancouver Eissa M, Rashed E, Essam Eıssa D. STUDY OF TELLURIUM-129m (129mTe) GROUND DEPOSITION FOLLOWING FUKUSHIMA NUCLEAR DISASTER: DESCRIPTIVE ANALYSIS OF UNSCEAR DATABASE USING STATISTICAL PROCESS TECHNIQUES. Mugla Journal of Science and Technology. 2021;7(2):67-72.

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