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Experimental Analysis and Mathematical Prediction of Radionuclides’ Solubility Using Support Vector Machine Model: Effect of Organic Complexing Agents on Radionuclides’ Solubility

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한국방사성폐기물학회 학술논문요약집 (Abstracts of Proceedings of the Korean Radioactive Wasts Society)
한국방사성폐기물학회 (Korean Radioactive Waste Society)
초록

The organic complexing agents such as ethylenediaminetetraacetic acid (EDTA), nitrilotriacetic acid (NTA), and isosaccharinic acid (ISA) can enhance the radionuclides’ solubility and have the potential to induce the acceleration of radionuclides’ mobility to a far-field from the radioactive waste repository. Hence, it is essential to evaluate the effect of organic complexing agents on radionuclide solubility through experimental analysis under similar conditions to those at the radioactive waste disposal site. In this study, five radionuclides (cesium, cobalt, strontium, iodine, and uranium) and three organic complexing agents (EDTA, NTA, and ISA) were selected as model substances. To simulate environmental conditions, the groundwater was collected near the repository and applied for solubility experiments. The solubility experiments were carried out under various ranges of pHs (7, 9, 11, and 13), temperatures (10°C, 20°C, and 40°C), and concentrations of organic complexing agents (0, 10-5, 10-4, 10-3, and 10-2 M). Experimental results showed that the presence of organic complexing agents significantly increased the solubility of the radionuclides. Cobalt and strontium had high solubility enhancement factors, even at low concentrations of organic complexing agents. We also developed a support vector machine (SVM) model using some of the experimental data and validated it using the rest of the solubility data. The root mean square error (RMSE) in the training and validation sets was 0.012 and 0.016, respectively. The SVM model allowed us to estimate the solubility value under untested conditions (e.g., pH 12, temperature 30°C, ISA 5×10-4 M). Therefore, our experimental solubility data and the SVM model can be used to predict radionuclide solubility and solubility enhancement by organic complexing agents under various conditions.

저자
  • Bolam Kim(Kyungpook National University (KNU))
  • Gi-Taek Oh(Keimyung University)
  • Youngsu Lim(Kyungpook National University (KNU))
  • Jinseob Kim(Kyungpook National University (KNU))
  • Juhui Park(Kyungpook National University (KNU))
  • Seongju Lee(Kyungpook National University (KNU))
  • Jiseon Jang(Korea Radioactive Waste Agency (KORAD))
  • Seho Choi(Korea Radioactive Waste Agency (KORAD))
  • Myunggoo Kang(Korea Radioactive Waste Agency (KORAD))
  • Jaechul Ha(Korea Radioactive Waste Agency (KORAD))
  • Chun-Hyung Cho(Korea Radioactive Waste Agency (KORAD))
  • Min-Woo Lee(Keimyung University)
  • Dae Sung Lee(Kyungpook National University (KNU)) Corresponding author