Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab

Achmad Chalid Afif Alfajrin; H. Hadiyanto

doi:10.14710/jbes.2022.14413

DOI: https://doi.org/10.14710/jbes.2022.14413

Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab

Achmad Chalid Afif Alfajrin¹ , H. Hadiyanto²

¹Forestry Engineering Study Program , Institut Teknologi Sumatera (ITERA), Lampung Selatan, 35551, Indonesia

²School of Postgraduate Studies, Diponegoro University, Indonesia

Received: 14 Apr 2022; Accepted: 18 May 2022; Available online: 2 Jun 2022; Published: 1 Aug 2022.

Editor(s): Marcelinus Christwardana

This work is licensed under a Creative Commons Attribution 4.0 International License.

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Abstract

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

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Keywords: phytoremediation; sunflower; radionuclides; phytoremediation dynamic model

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In Vol 1, No 2 (2022): August 2022

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Phytoremediation Dynamic Models of Radionuclides 134Cs and 60Co in Sunflowers Plants (Helianthus annuus. L) Using Matlab

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