Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab
In the development of phytoremediation this method can be simulated quite concisely and precisely. Simulations are carried out to predict plant behavior towards several different treatments, for example plant species, also types and concentrations of contaminants. In this study a dynamic model of ph...
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| Format: | Article |
| Language: | English |
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Universitas Diponegoro
2022-08-01
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| Series: | Journal of Bioresources and Environmental Sciences |
| Subjects: | |
| Online Access: | https://jbes.cbiore.id/index.php/jbes/article/view/14413 |
| _version_ | 1797644844314656768 |
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| author | Achmad Chalid Afif Alfajrin H. Hadiyanto |
| author_facet | Achmad Chalid Afif Alfajrin H. Hadiyanto |
| author_sort | Achmad Chalid Afif Alfajrin |
| collection | DOAJ |
| description | In the development of phytoremediation this method can be simulated quite concisely and precisely. Simulations are carried out to predict plant behavior towards several different treatments, for example plant species, also types and concentrations of contaminants. In this study a dynamic model of phytoremediation has been made using sunflower plants and 134Cs and 60Co radionuclides. This study was developed by mimicking the interaction of soil and plants to be simulated into Phytoremediation Dynamic Model (PDM). Diverse mathematical algorithms implemented to characterize phytoremediation, systems such as differential equation, statistical correlation, and dynamic system approach. The error value obtained is different for each contaminant for each variation in concentration, which ranges from 0,0006-0,6349 for 134Cs contaminants and 0,0089-0,4157 for 60Co contaminants. The error value is quite small, and the overall simulation data has approached the experimental data. Factors that influence the results of calculated data include saturation point values, as well as the absorption rate of each part of the plant obtained from calculations and estimates. This model has proven to be able to mimic plant responses to contaminants |
| first_indexed | 2024-03-11T14:37:21Z |
| format | Article |
| id | doaj.art-b52cecf377f74f60be59f00ca3a305e7 |
| institution | Directory Open Access Journal |
| issn | 2829-8314 2829-7741 |
| language | English |
| last_indexed | 2024-03-11T14:37:21Z |
| publishDate | 2022-08-01 |
| publisher | Universitas Diponegoro |
| record_format | Article |
| series | Journal of Bioresources and Environmental Sciences |
| spelling | doaj.art-b52cecf377f74f60be59f00ca3a305e72023-10-31T02:48:41ZengUniversitas DiponegoroJournal of Bioresources and Environmental Sciences2829-83142829-77412022-08-0112425110.14710/jbes.2022.144136344Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using MatlabAchmad Chalid Afif Alfajrin0H. Hadiyanto1Forestry Engineering Study Program , Institut Teknologi Sumatera (ITERA), Lampung Selatan, 35551, IndonesiaSchool of Postgraduate Studies, Diponegoro University, IndonesiaIn the development of phytoremediation this method can be simulated quite concisely and precisely. Simulations are carried out to predict plant behavior towards several different treatments, for example plant species, also types and concentrations of contaminants. In this study a dynamic model of phytoremediation has been made using sunflower plants and 134Cs and 60Co radionuclides. This study was developed by mimicking the interaction of soil and plants to be simulated into Phytoremediation Dynamic Model (PDM). Diverse mathematical algorithms implemented to characterize phytoremediation, systems such as differential equation, statistical correlation, and dynamic system approach. The error value obtained is different for each contaminant for each variation in concentration, which ranges from 0,0006-0,6349 for 134Cs contaminants and 0,0089-0,4157 for 60Co contaminants. The error value is quite small, and the overall simulation data has approached the experimental data. Factors that influence the results of calculated data include saturation point values, as well as the absorption rate of each part of the plant obtained from calculations and estimates. This model has proven to be able to mimic plant responses to contaminantshttps://jbes.cbiore.id/index.php/jbes/article/view/14413phytoremediationsunflowerradionuclidesphytoremediation dynamic model |
| spellingShingle | Achmad Chalid Afif Alfajrin H. Hadiyanto Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab Journal of Bioresources and Environmental Sciences phytoremediation sunflower radionuclides phytoremediation dynamic model |
| title | Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab |
| title_full | Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab |
| title_fullStr | Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab |
| title_full_unstemmed | Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab |
| title_short | Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab |
| title_sort | phytoremediation dynamic models of radionuclides 134cs and 60co in sunflowers plants helianthus annuus l using matlab |
| topic | phytoremediation sunflower radionuclides phytoremediation dynamic model |
| url | https://jbes.cbiore.id/index.php/jbes/article/view/14413 |
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