• RMIT Australia
  • RMIT Global
  • RMIT Australia
  • RMIT Europe
  • RMIT Vietnam

• Students
• Alumni
• Staff

Research Repository

Back to Library

• Home
• Browse
• Search
• FAQs
• About
• Contact Us

Prediction model of uranium concentration for in-situ leaching pregnant solution based on uranium chemical fractions of ores Li, C, Tan, K, Liu, Z, Xia, L, Tan, W and Chen, L 2018, 'Prediction model of uranium concentration for in-situ leaching pregnant solution based on uranium chemical fractions of ores', Journal of Radioanalytical and Nuclear Chemistry, vol. 318, no. 2, pp. 1379-1387. Document type: Journal Article Collection: Journal Articles Title Prediction model of uranium concentration for in-situ leaching pregnant solution based on uranium chemical fractions of ores Author(s) Li, C Tan, K Liu, Z Xia, L Tan, W Chen, L Year 2018 Journal name Journal of Radioanalytical and Nuclear Chemistry Volume number 318 Issue number 2 Start page 1379 End page 1387 Total pages 9 Publisher Akademiai Kiado Rt. Abstract Based on the uranium chemical fractions, combined with laboratory experiments and field monitoring data, a prediction model of uranium concentration for in situ leaching pregnant solution was established. It was demonstrated that the kinetics of in situ leaching of uranium is affected by four chemical fractions from exchangeable to oxidizable after the acidification stage, meanwhile the variation of uranium concentration with time displays two trends as high → low and low → high → low, moreover, it is basically consistent with the fourth-order polynomial relationship. The prediction model equation is y i,x = a i x 4 + b i x 3 + c i x 2 + d i x + e i , among which the parameters can be obtained by the regression of uranium chemical fractions of ores. Subject Chemical Sciences not elsewhere classified Keyword(s) In-situ leaching Uranium concentration Chemical fractions Prediction model DOI - identifier 10.1007/s10967-018-6190-9 Copyright notice © Akademiai Kiado, Budapest, Hungary 2018 ISSN 0236-5731 Related Links Link Description https://dx.doi.org/10.1007/s10967-018-6190-9 Link to Published Version   Versions Version Filter Type Thu, 23 May 2019, 15:56:30 EST Filtered Full Citation counts:   Cited 0 times in Thomson Reuters Web of Science Article Cited 0 times in Scopus Article Altmetric details: Access Statistics: 22 Abstract Views  -  Detailed Statistics Created: Thu, 23 May 2019, 08:44:00 EST by Catalyst Administrator