Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network
Cs-137 is one of the fission products that is usually released in environment after nuclear accidents. This contamination remains in environment for a long time due to long half life of Cs-137 (30 years) and can enter easily into the human food chain. A two-compartmental model was implemented to des...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | fas |
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Nuclear Science and Technology Research Institute
2012-11-01
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| Series: | مجله علوم و فنون هسته‌ای |
| Subjects: | |
| Online Access: | https://jonsat.nstri.ir/article_368_ae762e59c0fd2e95266ea19356eb09cf.pdf |
| _version_ | 1797835102679465984 |
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| author | E Yahaghi A Movafeghi M.A Askari G Karimi Diba N Mohammadzadeh |
| author_facet | E Yahaghi A Movafeghi M.A Askari G Karimi Diba N Mohammadzadeh |
| author_sort | E Yahaghi |
| collection | DOAJ |
| description | Cs-137 is one of the fission products that is usually released in environment after nuclear accidents. This contamination remains in environment for a long time due to long half life of Cs-137 (30 years) and can enter easily into the human food chain. A two-compartmental model was implemented to describe caesium intake and its distribution in Dicentrarchus Labrax, using a proposed differential equation model. The model included two compartments, the first compartment was the blood and the second one was the tissue. The activity of Cs-137 was undertaken in each compartment by means of a numerical method and the activity of Cs-137 was considered as an input of compartmental equations. We obtained the transfer coefficients between fish tissues by comparing the radiation curves with the actual data. In the light of the differences with the transfer coefficients, the calculation by the COMKAT software was found to be about 2%. Then, we provided the activity curves of Cs-137 and their charactristics (feature extractions) by changing the transfer coefficients and they were utilized to train the neural network. The network was trained for six data groups, and the results of the network testing had about 99% correct response, therefore it can be employed to estimate the transfer coefficients in fish tissue, the salinity range, and the activity of Cs-137 in water. |
| first_indexed | 2024-04-09T14:47:53Z |
| format | Article |
| id | doaj.art-83aeb939ee72472488d03ea5ef0b6cb6 |
| institution | Directory Open Access Journal |
| issn | 1735-1871 2676-5861 |
| language | fas |
| last_indexed | 2024-04-09T14:47:53Z |
| publishDate | 2012-11-01 |
| publisher | Nuclear Science and Technology Research Institute |
| record_format | Article |
| series | مجله علوم و فنون هسته‌ای |
| spelling | doaj.art-83aeb939ee72472488d03ea5ef0b6cb62023-05-02T10:41:45ZfasNuclear Science and Technology Research Instituteمجله علوم و فنون هسته‌ای1735-18712676-58612012-11-013332633368Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural NetworkE Yahaghi0A Movafeghi1M.A Askari2G Karimi Diba3N Mohammadzadeh4گروه فیزیک، دانشگاه بین‌المللی امام خمینی، صندوق پستی: 5599-34149، قزوین ـ ایرانپژوهشگاه علوم و فنون هسته‌ای، سازمان انرژی اتمی ایران، صندوق پستی: 836-14395، تهران ـ ایران 3. مرکز نظام ایمنی هسته‌ای کشور، سازمان انرژی اتمی ایران، صندوق پستی: 1339-14155، تهران ـ ایرانگروه فیزیک، دانشگاه بین‌المللی امام خمینی، صندوق پستی: 5599-34149، قزوین ـ ایرانمرکز نظام ایمنی هسته‌ای کشور، سازمان انرژی اتمی ایران، صندوق پستی: 1339-14155، تهران ـ ایرانپژوهشگاه علوم و فنون هسته‌ای، سازمان انرژی اتمی ایران، صندوق پستی: 836-14395، تهران ـ ایران 3. مرکز نظام ایمنی هسته‌ای کشور، سازمان انرژی اتمی ایران، صندوق پستی: 1339-14155، تهران ـ ایرانCs-137 is one of the fission products that is usually released in environment after nuclear accidents. This contamination remains in environment for a long time due to long half life of Cs-137 (30 years) and can enter easily into the human food chain. A two-compartmental model was implemented to describe caesium intake and its distribution in Dicentrarchus Labrax, using a proposed differential equation model. The model included two compartments, the first compartment was the blood and the second one was the tissue. The activity of Cs-137 was undertaken in each compartment by means of a numerical method and the activity of Cs-137 was considered as an input of compartmental equations. We obtained the transfer coefficients between fish tissues by comparing the radiation curves with the actual data. In the light of the differences with the transfer coefficients, the calculation by the COMKAT software was found to be about 2%. Then, we provided the activity curves of Cs-137 and their charactristics (feature extractions) by changing the transfer coefficients and they were utilized to train the neural network. The network was trained for six data groups, and the results of the network testing had about 99% correct response, therefore it can be employed to estimate the transfer coefficients in fish tissue, the salinity range, and the activity of Cs-137 in water.https://jonsat.nstri.ir/article_368_ae762e59c0fd2e95266ea19356eb09cf.pdfcaesium-137two-compartmental modeldicentrarchus labraxtransfer factorsneural network |
| spellingShingle | E Yahaghi A Movafeghi M.A Askari G Karimi Diba N Mohammadzadeh Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network مجله علوم و فنون هسته‌ای caesium-137 two-compartmental model dicentrarchus labrax transfer factors neural network |
| title | Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network |
| title_full | Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network |
| title_fullStr | Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network |
| title_full_unstemmed | Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network |
| title_short | Estimation of Caesium-137 Intake in Dicentrarchus Labrax by Using Compartmental Model and Neural Network |
| title_sort | estimation of caesium 137 intake in dicentrarchus labrax by using compartmental model and neural network |
| topic | caesium-137 two-compartmental model dicentrarchus labrax transfer factors neural network |
| url | https://jonsat.nstri.ir/article_368_ae762e59c0fd2e95266ea19356eb09cf.pdf |
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